Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
BPM systems' largely static nature is a major limitation, as they struggle to accommodate the data-driven branching that characterizes dynamic workflows.
“However, their largely static nature proves to be a major limitation, as these frameworks struggle to accommodate the data-driven branching that characterizes dynamic workflows (Di Ciccio, Marrella, and Russo 2015).”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
The Introduction and Discussion describe conventional BPM approaches as relying on prescribed execution flows and identify serious limitations in supporting evolving, knowledge-intensive processes. However, §6.1 says YAWL can evaluate branching conditions using variables defined at configuration time. The paper supports difficulty with runtime flexibility and data access, but not an unqualified inability to accommodate data-driven branching. (LLM, conf=0.82)
Experimental — accuracy not yet measuredTraditional Business Process Management systems provide rigor, determinism, and auditability, yet they generally struggle to adapt their execution at runtime.
“Traditional Business Process Management systems provide rigor, determinism, and auditability, yet they generally struggle to adapt their execution at runtime.”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT
van der Aalst, W. M. P. (1998) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126698000043 · Cited by 2,716 · see citing works
van der Aalst, W. M. P., ter Hofstede, A. H. M., Kiepuszewski, B., & Barros, A. (2003) · Distributed and Parallel Databases · doi:10.1023/a:1022883727209 · Cited by 2,613 · see citing works
Fundamentals of Business Process Management
Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2018) · Springer eBooks · doi:10.1007/978-3-662-56509-4 · Cited by 1,832 · see citing works
Business Process Management : Concepts, Languages, Architectures
Weske, M., & GmbH, S.-V. (2007) · doi:10.1007/978-3-540-73522-9 · Cited by 1,664 · see citing works
The temporal logic of programs
Pnueli, A. (1977) · 18th Annual Symposium on Foundations of Computer Science (sfcs 1977) · doi:10.1109/sfcs.1977.32 · Cited by 1,523 · see citing works
Fundamentals of Business Process Management
Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2013) · Springer eBooks · doi:10.1007/978-3-642-33143-5 · Cited by 1,372 · see citing works
Knowledge in action: logical foundations for specifying and implementing dynamical systems
(2002) · Choice Reviews Online · doi:10.5860/choice.39-4626 · Cited by 1,094 · see citing works
Business Process Management: A Comprehensive Survey
van der Aalst, W. M. P. (2013) · ISRN Software Engineering · doi:10.1155/2013/507984 · Cited by 828 · see citing works
Thinking for a living: how to get better performance and results from knowledge workers
(2006) · Choice Reviews Online · doi:10.5860/choice.43-3471 · Cited by 781 · see citing works
(1996) · Sloan management review · Cited by 767 · see citing works
Production Workflow - Concepts and Techniques
Leymann, F., & Roller, D. H. (2000) · Cited by 720 · see citing works
Seven process modeling guidelines (7PMG)
Mendling, J., Reijers, H. A., & van der Aalst, W. M. P. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2009.08.004 · Cited by 629 · see citing works
Process-aware information systems: bridging people and software through process technology
Dumas, M., van der Aalst, W. M. P., & ter Hofstede, A. T. (2006) · Choice Reviews Online · doi:10.5860/choice.43-4070 · Cited by 619 · see citing works
Declarative workflows: Balancing between flexibility and support
van der Aalst, W. M. P., Pesic, M., & Schonenberg, H. (2009) · Computer Science - Research and Development · doi:10.1007/s00450-009-0057-9 · Cited by 610 · see citing works
Reiter, R. (2001) · The MIT Press eBooks · doi:10.7551/mitpress/4074.001.0001 · Cited by 598 · see citing works
Process‐Aware Information Systems
Dumas, M., van der Aalst, W. M. P., & ter Hofstede, A. H. M. (2005) · Wiley eBooks · doi:10.1002/0471741442 · Cited by 586 · see citing works
Weber, B., Reichert, M., & Rinderle‐Ma, S. (2008) · Data & Knowledge Engineering · doi:10.1016/j.datak.2008.05.001 · Cited by 574 · see citing works
DECLARE: Full Support for Loosely-Structured Processes
Pešić, M., Schonenberg, H., & van der Aalst, W. M. P. (2007) · Proceedings - International Enterprise Distributed Object Computing Conference · doi:10.1109/edoc.2007.14 · Cited by 563 · see citing works
Enabling Flexibility in Process-Aware Information Systems
Reichert, M., & Weber, B. (2012) · Springer eBooks · doi:10.1007/978-3-642-30409-5 · Cited by 553 · see citing works
IT support for healthcare processes – premises, challenges, perspectives
Lenz, R., & Reichert, M. (2006) · Data & Knowledge Engineering · doi:10.1016/j.datak.2006.04.007 · Cited by 521 · see citing works
Workflow Resource Patterns: Identification, Representation and Tool Support
Russell, N. G., van der Aalst, W. M. P., ter Hofstede, A. H. M., & Edmond, D. (2005) · Notes on numerical fluid mechanics and multidisciplinary design · doi:10.1007/11431855_16 · Cited by 422 · see citing works
Malhotra, Y. (2005) · Journal of Knowledge Management · doi:10.1108/13673270510582938 · Cited by 367 · see citing works
Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes
Cohn, D. L., & Hull, R. B. (2009) · IEEE Data(base) Engineering Bulletin · Cited by 357 · see citing works
Modern Business Process Automation
ter Hofstede, A. H. M., Adams, M., van der Aalst, W. M. P., & Russell, N. G. (2009) · Springer eBooks · doi:10.1007/978-3-642-03121-2 · Cited by 329 · see citing works
ProM : the process mining toolkit
van der Aalst, W. M. P., van Dongen, B. F., Günther, C. C., Rozinat, A., Verbeek, H. M. W., & Weijters, T. (2009) · TU/e Research Portal · Cited by 288 · see citing works
Russell, N. G., van der Aalst, W. M. P., & ter Hofstede, A. H. M. (2006) · Notes on numerical fluid mechanics and multidisciplinary design · doi:10.1007/11767138_20 · Cited by 250 · see citing works
Swenson, K. D. (2010) · Cited by 239 · see citing works
PHILharmonicFlows: towards a framework for object‐aware process management
Künzle, V., & Reichert, M. (2011) · Journal of Software Maintenance and Evolution Research and Practice · doi:10.1002/smr.524 · Cited by 238 · see citing works
Workflow Data Patterns: Identification, Representation and Tool Support
Russell, N. G., ter Hofstede, A. H. M., Edmond, D., & van der Aalst, W. M. P. (2005) · Lecture notes in computer science · doi:10.1007/11568322_23 · Cited by 238 · see citing works
Russell, N. N., ter Hofstede, A. H. M., Edmond, D., & van der Aalst, W. M. P. (2004) · TU/e Research Portal · Cited by 215 · see citing works
Configurable multi-perspective business process models
Rosa, M. L., Dumas, M., ter Hofstede, A. H. M., & Mendling, J. (2010) · Information Systems · doi:10.1016/j.is.2010.07.001 · Cited by 191 · see citing works
Seghrouchni, A. E. F., Dix, J., Dastani, M., & Bordini, R. H. (2009) · Springer US · doi:10.1007/978-0-387-89299-3 · Cited by 189 · see citing works
Business artifacts with guard-stage-milestone lifecycles
Hull, R. B., Damaggio, E., Masellis, R. D., Fournier, F., Gupta, M., Heath, F. F., Hobson, S. F., Linehan, M. H., Maradugu, S., Nigam, A., et al. (2011) · ACM International Conference on Distributed and Event-Based Systems (DEBS) · doi:10.1145/2002259.2002270 · Cited by 181 · see citing works
Improving knowledge intensive processes through an enterprise knowledge medium
Eppler, M. J., Seifried, P., & Röpnack, A. (1999) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/299513.299686 · Cited by 180 · see citing works
Adaptive Process Management with ADEPT2
Reichert, M., Rinderle, S., Kreher, U., & Dadam, P. (2005) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2005.17 · Cited by 159 · see citing works
PROVIDING INTEGRATED LIFE CYCLE SUPPORT IN PROCESS-AWARE INFORMATION SYSTEMS
Weber, B., Reichert, M., Rinderle‐Ma, S., & Wild, W. (2009) · International Journal of Cooperative Information Systems · doi:10.1142/s0218843009001999 · Cited by 123 · see citing works
IndiGolog: A High-Level Programming Language for Embedded Reasoning Agents
Giacomo, G. D., Lespérance, Y., Levesque, H., & Sardiña, S. (2009) · Multi-Agent Programming, Languages, Tools and Applications · doi:10.1007/978-0-387-89299-3_2 · Cited by 106 · see citing works
The Need for a Process Mining Evaluation Framework in Research and Practice
Rozinat, A., de Medeiros, A. K. A., Günther, C., Weijters, T., & van der Aalst, W. M. P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-78238-4_10 · Cited by 101 · see citing works
Modern Business Process Automation: YAWL and Its Support Environment
(2010) · Kybernetes · doi:10.1108/k.2010.06739fae.002 · Cited by 101 · see citing works
Change Mining in Adaptive Process Management Systems
Günther, C., Rinderle, S., Reichert, M., & van der Aalst, W. M. P. (2006) · Lecture notes in computer science · doi:10.1007/11914853_19 · Cited by 99 · see citing works
A framework for the improvement of knowledge‐intensive business processes
Dalmaris, P., Tsui, E., Hall, B., & Smith, B. (2007) · Business Process Management Journal · doi:10.1108/14637150710740509 · Cited by 91 · see citing works
Data Centric BPM and the Emerging Case Management Standard: A Short Survey
Marin, M. A., Hull, R. B., & Vaculín, R. (2013) · Lecture notes in business information processing · doi:10.1007/978-3-642-36285-9_4 · Cited by 88 · see citing works
What BPM Technology Can Do for Healthcare Process Support
Reichert, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22218-4_2 · Cited by 85 · see citing works
Towards Object-Aware Process Management Systems: Issues, Challenges, Benefits
Künzle, V., & Reichert, M. (2009) · Lecture notes in business information processing · doi:10.1007/978-3-642-01862-6_17 · Cited by 82 · see citing works
Object-Aware Business Processes
Künzle, V., Weber, B., & Reichert, M. (2011) · International Journal of Information System Modeling and Design · doi:10.4018/jismd.2011040102 · Cited by 82 · see citing works
Vaculín, R., Hull, R. B., Heath, T., Cochran, C., Nigam, A., & Sukaviriya, P. “. (2011) · IEEE International Enterprise Distributed Object Computing Conference (EDOC) · doi:10.1109/edoc.2011.36 · Cited by 81 · see citing works
Management of Knowledge Intensive Business Processes
Gronau, N., & Weber, E. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-25970-1_11 · Cited by 77 · see citing works
van der Aalst, W. M. P., Adams, M., ter Hofstede, A. H. M., Pesic, M., & Schonenberg, H. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04205-8_27 · Cited by 77 · see citing works
van der Aalst, W. M. P., Nakatumba, J., Rozinat, A., & Russell, N. G. (2010) · Springer eBooks · doi:10.1007/978-3-642-00416-2_15 · Cited by 76 · see citing works
A Knowledge-Based Integrated Approach for Discovering and Repairing Declare Maps
Maggi, F. M., Bose, R. P. J. C., & van der Aalst, W. M. P. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38709-8_28 · Cited by 63 · see citing works
Towards data-aware constraints in declare
Montali, M., Chesani, F., Mello, P., & Maggi, F. M. (2013) · ACM Symposium on Applied Computing · doi:10.1145/2480362.2480624 · Cited by 62 · see citing works
Knowledge Intensive Business Processes: Theoretical Foundations and Research Challenges
Marjanovic, O., & Freeze, R. D. (2011) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2011.271 · Cited by 60 · see citing works
A two-step fast algorithm for the automated discovery of declarative workflows
Ciccio, C. D., & Mecella, M. (2013) · IEEE Symposium on Computational Intelligence and Data Mining (CIDM) · doi:10.1109/cidm.2013.6597228 · Cited by 56 · see citing works
Meyer, A., Smirnov, S., & Weske, M. (2011) · publish.UP (University of Potsdam) · Cited by 53 · see citing works
Knowledge-intensive Processes: An Overview of Contemporary Approaches.
Ciccio, C. D., Marrella, A., & Russo, A. (2012) · IRIS Research product catalog (Sapienza University of Rome) · Cited by 46 · see citing works
Self-citationThe Changing Nature of Work: From Structured to Unstructured, from Controlled to Social
Kemsley, S. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23059-2_2 · Cited by 42 · see citing works
Towards a System Support of Collaborative Knowledge Work
Mundbrod, N., Kolb, J., & Reichert, M. (2013) · Lecture notes in business information processing · doi:10.1007/978-3-642-36285-9_5 · Cited by 40 · see citing works
Conformance Checking of Executed Clinical Guidelines in Presence of Basic Medical Knowledge
Bottrighi, A., Chesani, F., Mello, P., Montali, M., Stefania Montani, B., & Terenziani, P. (2012) · Lecture notes in business information processing · doi:10.1007/978-3-642-28115-0_20 · Cited by 38 · see citing works
Gronau, N., Müller, C., & Uslar, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30545-3_1 · Cited by 36 · see citing works
Marrella, A., Mecella, M., & Sardiña, S. (2014) · RMIT Research Repository (RMIT University Library) · Cited by 35 · see citing works
Self-citationMailOfMine – Analyzing Mail Messages for Mining Artful Collaborative Processes
Ciccio, C. D., Mecella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2012) · Lecture notes in business information processing · doi:10.1007/978-3-642-34044-4_4 · Cited by 34 · see citing works
On the Convergence of Data and Process Engineering
Dumas, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23737-9_2 · Cited by 34 · see citing works
Planlets: Automatically Recovering Dynamic Processes in YAWL
Marrella, A., Russo, A., & Mecella, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33606-5_17 · Cited by 33 · see citing works
Self-citationTowards Object-aware Process Support in Healthcare Information Systems
Chiao, C. M., Künzle, V., & Reichert, M. (2012) · International Conference on eHealth, Telemedicine, and Social Medicine · Cited by 31 · see citing works
Continuous Planning for Solving Business Process Adaptivity
Marrella, A., & Mecella, M. (2011) · Lecture notes in business information processing · doi:10.1007/978-3-642-21759-3_9 · Cited by 30 · see citing works
Self-citationCatarci, T., de Leoni, M., Marrella, A., Mecella, M., Russo, A., Steinmann, R., & Bortenschlager, M. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-2788-8.ch003 · Cited by 28 · see citing works
Self-citationSynthesizing a Library of Process Templates through Partial-Order Planning Algorithms
Marrella, A., & Lespérance, Y. (2013) · Lecture notes in business information processing · doi:10.1007/978-3-642-38484-4_20 · Cited by 26 · see citing works
Self-citationKnowledge Intensive Business Processes: An Exploratory Study
Işık, Ö., den Bergh, J. V., & Mertens, W. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.401 · Cited by 25 · see citing works
Catarci, T., de Leoni, M., Marrella, A., Mecella, M., Russo, A., Steinmann, R., & Bortenschlager, M. (2011) · International Journal of Information Systems for Crisis Response and Management · doi:10.4018/jiscrm.2011010103 · Cited by 23 · see citing works
Self-citationAssessing digital preservation frameworks
Innocenti, P., Ross, S., Macevičiūtė, E., Wilson, T. D., Ludwig, J., & Pempe, W. (2009) · International Conference on Management of Emergent Digital EcoSystems (MEDES) · doi:10.1145/1643823.1643899 · Cited by 23 · see citing works
On the evolution of process-oriented approaches for healthcare workflows
Russo, A., & Mecella, M. (2013) · International Journal of Business Process Integration and Management · doi:10.1504/ijbpim.2013.056962 · Cited by 22 · see citing works
Self-citationTask-Centred Information Management
Catarci, T., Dix, A. J., Katifori, A., Lepouras, G., & Poggi, A. (2007) · Springer eBooks · doi:10.1007/978-3-540-77088-6_19 · Cited by 21 · see citing works
Mining Artful Processes from Knowledge Workers' Emails
Ciccio, C. D., & Mecella, M. (2013) · IEEE Internet Computing · doi:10.1109/mic.2013.60 · Cited by 21 · see citing works
CPN Tools 4 : a process modeling tool combining declarative and imperative paradigms
Westergaard, M., & Slaats, T. (2013) · TU/e Research Portal · Cited by 19 · see citing works
Configurable Declare: Designing Customisable Flexible Process Models
Schunselaar, D. M. M., Maggi, F. M., Sidorova, N., & van der Aalst, W. M. P. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33606-5_3 · Cited by 18 · see citing works
Improving Knowledge Intensive Processes through an Enterprise Knowledge Medium (1999)
Eppler, M. J., Seifried, P., & Röpnack, A. (2008) · Gabler eBooks · doi:10.1007/978-3-8349-9772-2_19 · Cited by 16 · see citing works
Domain-Driven Process Adaptation in Emergency Scenarios
Rosa, M. L., & Mendling, J. (2009) · Lecture notes in business information processing · doi:10.1007/978-3-642-00328-8_28 · Cited by 15 · see citing works
Venous Thromboembolism: Diagnosis and Treatment
Nogueira, R. F., Botelho, L. F., & da Silva, R. C. T. (2017) · Springer eBooks · doi:10.1007/978-3-319-46059-8_12 · Cited by 15 · see citing works
Representing and Visualizing Mined Artful Processes in MailOfMine
Ciccio, C. D., Mecella, M., & Catarci, T. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25364-5_9 · Cited by 12 · see citing works
Marjanovic, O., Skaf‐Molli, H., Molli, P., & Godart, C. (2007) · International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) · doi:10.1109/colcom.2007.4553874 · Cited by 11 · see citing works
Modelling and Analysis of Knowledge Intensive Business Processes
Bahrs, J., & Müller, C. (2005) · Lecture notes in computer science · doi:10.1007/11590019_28 · Cited by 9 · see citing works
IMPROVING KNOWLEDGE-INTENSIVE HEALTH CARE PROCESSES BEYOND EFFICIENCY
Marjanovic, O. (2011) · Cited by 9 · see citing works
Proceedings 5th International Conference on eHealth, Telemedicine, and Social Medicine eTELEMED 2013
van Gemert‐Pijnen, J. E. W. C., & Ossebaard, H. C. (2013) · University of Twente Research Information · Cited by 5 · see citing works
Flagged first, then by citations
2 of the 85 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Meyer A, Smirnov S, Weske M (2011) Data in Busi- ness Processes. EMISA Forum 31(3):5-31
- Warren P, Kings N, Thurlow I, Davies J, Buerger T, Simperl E, Ruiz C, Gomez-Perez JM, Ermolayev V, Ghani R, Tilly M, Bösser T, Imtiaz A (2009) Im- proving Knowledge Worker Productivity -the Ac- tive Integrated Approach. BT Tech Journal 26(2)
Cited by
Sorted by citations
Process mining for healthcare: Characteristics and challenges
Muñoz-Gama, J., Martin, N., Fernández-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E., Galvez-Yanjari, V., Rojas, E., Martínez-Millana, A., Aloini, D., et al. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.103994 · Cited by 299 · see citing works
Keding, C. (2021) · Management Review Quarterly · doi:10.1007/s11301-020-00181-x · Cited by 231 · see citing works
The Internet-of-Things Meets Business Process Management. A Manifesto
Janiesch, C., Koschmider, A., Mecella, M., Weber, B., Burattin, A., Di Ciccio, C., Fortino, G., Gal, A., Kannengiesser, U., Leotta, F., et al. (2020) · IEEE Systems Man and Cybernetics Magazine · doi:10.1109/msmc.2020.3003135 · Cited by 177 · see citing works
Self-citationParry, K., Cohen, M., & Bhattacharya, S. (2016) · Group & Organization Management · doi:10.1177/1059601116643442 · Cited by 162 · see citing works
On the Discovery of Declarative Control Flows for Artful Processes
Ciccio, C. D., & Mecella, M. (2015) · ACM Transactions on Management Information Systems · doi:10.1145/2629447 · Cited by 110 · see citing works
Process mining in healthcare – An updated perspective on the state of the art
Roock, E. D., & Martin, N. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.103995 · Cited by 99 · see citing works
Seven Paradoxes of Business Process Management in a Hyper-Connected World
Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., et al. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00646-z · Cited by 89 · see citing works
Extracting Declarative Process Models from Natural Language
van der Aa, H., Ciccio, C. D., Leopold, H., & Reijers, H. A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-21290-2_23 · Cited by 82 · see citing works
Recommendations for enhancing the usability and understandability of process mining in healthcare
Martin, N., Weerdt, J. D., Fernández-Llatas, C., Gal, A., Gatta, R., Ibáñez-Sánchez, G., Johnson, O. A., Mannhardt, F., Marco-Ruiz, L., Mertens, S., et al. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101962 · Cited by 82 · see citing works
A knowledge-intensive adaptive business process management framework
Kır, H., & Erdoğan, N. (2020) · Information Systems · doi:10.1016/j.is.2020.101639 · Cited by 81 · see citing works
Business process management – at the crossroads
Klun, M., & Trkman, P. (2018) · Business Process Management Journal · doi:10.1108/bpmj-11-2016-0226 · Cited by 81 · see citing works
Intelligent Process Adaptation in the SmartPM System
Marrella, A., Mecella, M., & Sardiña, S. (2016) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2948071 · Cited by 80 · see citing works
Self-citationAutomated Planning for Business Process Management
Marrella, A. (2018) · Journal on Data Semantics · doi:10.1007/s13740-018-0096-0 · Cited by 70 · see citing works
Self-citationArchitectural frameworks: defining the structures for implementing learning health systems
Lessard, L., Michalowski, W. J., Fung‐Kee‐Fung, M., Jones, L., & Grudniewicz, A. (2017) · Implementation Science · doi:10.1186/s13012-017-0607-7 · Cited by 69 · see citing works
Steinau, S., Marrella, A., Andrews, K., Leotta, F., Mecella, M., & Reichert, M. (2018) · Software & Systems Modeling · doi:10.1007/s10270-018-0695-0 · Cited by 67 · see citing works
Self-citationMining Resource Profiles from Event Logs
Pika, A., Leyer, M., Wynn, M. T., Fidge, C., ter Hofstede, A. H. M., & van der Aalst, W. M. P. (2017) · ACM Transactions on Management Information Systems · doi:10.1145/3041218 · Cited by 65 · see citing works
Key factors that improve knowledge-intensive business processes which lead to competitive advantage
Aureli, S., Giampaoli, D., Ciambotti, M., & Bontis, N. (2018) · Business Process Management Journal · doi:10.1108/bpmj-06-2017-0168 · Cited by 61 · see citing works
Creating AI business value through BPM capabilities
Zebec, A., & Stemberger, M. I. (2024) · Business Process Management Journal · doi:10.1108/bpmj-07-2023-0566 · Cited by 42 · see citing works
From BPMN process models to DMN decision models
Bazhenova, E., Zerbato, F., Oliboni, B., & Weske, M. (2019) · Information Systems · doi:10.1016/j.is.2019.02.001 · Cited by 60 · see citing works
Rethinking BPM in a Cognitive World: Transforming How We Learn and Perform Business Processes
Hull, R. B., & Nezhad, H. R. M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-45348-4_1 · Cited by 56 · see citing works
BPM challenges, limitations and future development directions – a systematic literature review
Szelągowski, M., & Berniak‐Woźny, J. (2024) · Business Process Management Journal · doi:10.1108/bpmj-06-2023-0419 · Cited by 51 · see citing works
Efficient discovery of Target-Branched Declare constraints
Ciccio, C. D., Maggi, F. M., & Mendling, J. (2015) · Information Systems · doi:10.1016/j.is.2015.06.009 · Cited by 51 · see citing works
Parallel algorithms for the automated discovery of declarative process models
Maggi, F. M., Ciccio, C. D., Francescomarino, C. D., & Kala, T. (2017) · Information Systems · doi:10.1016/j.is.2017.12.002 · Cited by 51 · see citing works
Process innovation capability in less-structured business processes: a systematic literature review
Goni, J. I. C., & Looy, A. V. (2022) · Business Process Management Journal · doi:10.1108/bpmj-07-2021-0487 · Cited by 50 · see citing works
Generating Event Logs Through the Simulation of Declare Models
Ciccio, C. D., Bernardi, M. L., Cimitile, M., & Maggi, F. M. (2015) · Lecture notes in business information processing · doi:10.1007/978-3-319-24626-0_2 · Cited by 50 · see citing works
Case Management: An Evaluation of Existing Approaches for Knowledge-Intensive Processes
Marin, M. A., Hauder, M., & Matthes, F. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-42887-1_1 · Cited by 39 · see citing works
Declarative and Hybrid Process Discovery: Recent Advances and Open Challenges
Slaats, T. (2020) · Journal on Data Semantics · doi:10.1007/s13740-020-00112-9 · Cited by 39 · see citing works
Business Process Management Systems: Evolution and Development Trends
Szelągowski, M., & Lupeikienė, A. (2020) · Informatica · doi:10.15388/20-infor429 · Cited by 39 · see citing works
Digital Twins of Business Processes: A Research Manifesto
Fornari, F., Compagnucci, I., Donato, M. C. D., Bertrand, Y., Beyel, H. H., Carrión, E., Franceschetti, M., Groher, W., Grüger, J., Kilic, E., et al. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101477 · Cited by 37 · see citing works
Marjanovic, O. (2021) · Journal of Knowledge Management · doi:10.1108/jkm-09-2020-0669 · Cited by 37 · see citing works
What Automated Planning Can Do for Business Process Management
Marrella, A. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-74030-0_1 · Cited by 36 · see citing works
Self-citationEvolution of the BPM Lifecycle
Szelągowski, M. (2018) · Annals of Computer Science and Information Systems · doi:10.15439/2018f46 · Cited by 36 · see citing works
Mining team compositions for collaborative work in business processes
Schönig, S., Cabanillas, C., Ciccio, C. D., Jablonski, S., & Mendling, J. (2016) · Software & Systems Modeling · doi:10.1007/s10270-016-0567-4 · Cited by 34 · see citing works
Combi, C., Oliboni, B., Zardini, A., & Zerbato, F. (2017) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-017-0007-4 · Cited by 33 · see citing works
Huang, H. C., Ma, Y., Zhang, S., & Qinchao, D. (2017) · Journal of Knowledge Management · doi:10.1108/jkm-02-2017-0054 · Cited by 33 · see citing works
LTL on Finite and Process Traces: Complexity Results and a Practical Reasoner
Fionda, V., & Greco, G. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.11256 · Cited by 31 · see citing works
Supporting capacity management decisions in healthcare using data-driven process simulation
van Hulzen, G., Martin, N., Depaire, B., & Souverijns, G. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104060 · Cited by 31 · see citing works
Do activity lifecycles affect the validity of a business rule in a business process?
Bernardi, M. L., Cimitile, M., Francescomarino, C. D., & Maggi, F. M. (2016) · Information Systems · doi:10.1016/j.is.2016.06.002 · Cited by 27 · see citing works
A Comparison of Flexible BPMN and CMMN in Practice: A Case Study on Component Release Processes
Zensen, A., & Küster, J. M. (2018) · IEEE International Enterprise Distributed Object Computing Conference (EDOC) · doi:10.1109/edoc.2018.00023 · Cited by 26 · see citing works
Benevento, E., Aloini, D., & van der Aalst, W. M. P. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104083 · Cited by 26 · see citing works
Reactive synthesis of software robots in RPA from user interface logs
Agostinelli, S., Lupia, M., Marrella, A., & Mecella, M. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103721 · Cited by 26 · see citing works
Self-citationTowards a decision-aware declarative process modeling language for knowledge-intensive processes
Mertens, S., Gailly, F., & Poels, G. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.06.024 · Cited by 25 · see citing works
Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns
Donadello, I., Francescomarino, C. D., Maggi, F. M., Ricci⋆, F., & Shikhizada, A. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106899 · Cited by 24 · see citing works
Molina, D. A., Kharlov, V., & Chen, J. (2024) · Portland International Conference on Management of Engineering and Technology (PICMET) · doi:10.23919/picmet64035.2024.10653303 · Cited by 24 · see citing works
Richter, T., Fantinato, M., & Thom, L. H. (2025) · Business Process Management Journal · doi:10.1108/bpmj-10-2024-0989 · Cited by 24 · see citing works
Šperka, R., & Halaška, M. (2022) · Information Systems and e-Business Management · doi:10.1007/s10257-022-00602-2 · Cited by 24 · see citing works
On the relevance of a business constraint to an event log
Ciccio, C. D., Maggi, F. M., Montali, M., & Mendling, J. (2018) · Information Systems · doi:10.1016/j.is.2018.01.011 · Cited by 24 · see citing works
A planning approach to the automated synthesis of template-based process models
Marrella, A., & Lespérance, Y. (2017) · Service Oriented Computing and Applications · doi:10.1007/s11761-017-0215-z · Cited by 23 · see citing works
Self-citationDisCoveR: accurate and efficient discovery of declarative process models
Back, C. O., Slaats, T., Hildebrandt, T. T., & Marquard, M. (2021) · International Journal on Software Tools for Technology Transfer · doi:10.1007/s10009-021-00616-0 · Cited by 23 · see citing works
Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study
Benevento, E., Dixit, P. M., Sani, M. F., Aloini, D., & van der Aalst, W. M. P. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-37453-2_41 · Cited by 22 · see citing works
CvAMoS—Event Abstraction Using Contextual Information
Federico, G. D., & Burattin, A. (2023) · Future Internet · doi:10.3390/fi15030113 · Cited by 21 · see citing works
Voorberg, S., Eshuis, R., van Jaarsveld, W. L., & van Houtum, G. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113632 · Cited by 21 · see citing works
Mundbrod, N., & Reichert, M. (2014) · IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW) · doi:10.1109/edocw.2014.26 · Cited by 20 · see citing works
Challenges in Refactoring Processes to Include Decision Modelling
Hasić, F., Devadder, L., Dochez, M., Hanot, J., Smedt, J. D., & Vanthienen, J. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-74030-0_42 · Cited by 19 · see citing works
Practical assessment of the nature of business processes
Szelągowski, M. (2021) · Information Systems and e-Business Management · doi:10.1007/s10257-021-00501-y · Cited by 19 · see citing works
The knowledge and process continuum
Szelągowski, M., & Berniak‐Woźny, J. (2019) · Knowledge and Process Management · doi:10.1002/kpm.1611 · Cited by 19 · see citing works
Understanding Modeling Requirements of Unstructured Business Processes
Bukhsh, Z. A., Sinderen, M. J. V., Sikkel, N., & Quartel, D. A. C. (2017) · International Joint Conference on e-Business and Telecommunications (ICETE) · doi:10.5220/0006398400170027 · Cited by 18 · see citing works
The Effect of Noise on Mined Declarative Constraints
Ciccio, C. D., Mecella, M., & Mendling, J. (2015) · Lecture notes in business information processing · doi:10.1007/978-3-662-46436-6_1 · Cited by 18 · see citing works
A survey on the application of process discovery techniques to smart spaces data
Bertrand, Y., den Abbeele, B. V., Veneruso, S. V., Leotta, F., Mecella, M., & Serral, E. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106748 · Cited by 17 · see citing works
Reasoning About Property Preservation in Adaptive Case Management
Eshuis, R., Hull, R. B., & Yi, M. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3177778 · Cited by 17 · see citing works
Modelling emergency response process using case management model and notation
Shahrah, A. Y., & Al‐Mashari, M. (2017) · IET Software · doi:10.1049/iet-sen.2016.0209 · Cited by 17 · see citing works
A process mining methodology for modeling unstructured processes
Stefanini, A., Aloini, D., Benevento, E., Dulmin, R., & Mininno, V. (2020) · Knowledge and Process Management · doi:10.1002/kpm.1649 · Cited by 17 · see citing works
Measuring Performance in Knowledge-intensive Processes
Estrada-Torres, B., Richetti, P. H. P., del–Río–Ortega, A., Baião, F., Resinas, M., Santoro, F. M., & Ruiz–Cortés, A. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3289180 · Cited by 17 · see citing works
Campos, J. G., Richetti, P. H. P., Baião, F., & Santoro, F. M. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-74030-0_44 · Cited by 16 · see citing works
Automatic Resource Allocation in Business Processes: A Systematic Literature SurveyPreprint
Pufahl, L., Ihde, S., Stiehle, F., Weske, M., & Weber, I. M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.07264 · Cited by 16 · see citing works
Goal-Aligned Categorization of Instance Variants in Knowledge-Intensive Processes
Ponnalagu, K., Ghose, A., Narendra, N. C., & Dam, H. K. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23063-4_24 · Cited by 15 · see citing works
A Framework for Dynamic Composition and Management of Emergency Response Processes
Elahraf, A., Afzal, A., Akhtar, A., Shafiq, B., Vaidya, J. S., Shamail, S., & Adam, N. R. (2020) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.3030211 · Cited by 15 · see citing works
Towards the assessment of business process knowledge intensity – a systematic literature review
Berniak‐Woźny, J., & Szelągowski, M. (2021) · Business Process Management Journal · doi:10.1108/bpmj-01-2021-0012 · Cited by 15 · see citing works
Teslyuk, V., Batyuk, A. Y., & Voityshyn, V. (2022) · Systems · doi:10.3390/systems10040123 · Cited by 15 · see citing works
Sid, I., Reichert, M., & Ghomari, A. R. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2018.1556815 · Cited by 15 · see citing works
Using Process Mining in Healthcare
Martin, N., Wittig, N., & Muñoz-Gama, J. (2022) · Lecture notes in business information processing · doi:10.1007/978-3-031-08848-3_14 · Cited by 14 · see citing works
Schuster, D., Benevento, E., Aloini, D., & van der Aalst, W. M. P. (2024) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-024-00165-6 · Cited by 14 · see citing works
Acitelli, G., Alman, A., Maggi, F. M., & Marrella, A. (2025) · Information Systems · doi:10.1016/j.is.2025.102573 · Cited by 14 · see citing works
Self-citationModeling business processes for automated crisis management support: Lessons learned
Kushnareva, E., Rychkova, I., & Grand, B. L. (2015) · International Conference on Research Challenges in Information Science (RCIS) · doi:10.1109/rcis.2015.7128900 · Cited by 14 · see citing works
Toward a methodology for case modeling
Hewelt, M., Pufahl, L., Mandal, S., Wolff, F., & Weske, M. (2019) · Software & Systems Modeling · doi:10.1007/s10270-019-00766-5 · Cited by 14 · see citing works
Improving the quality of business process descriptions of public administrations
Ferrari, A., Witschel, H. F., Spagnolo, G. O., & Gnesi, S. (2017) · Business Process Management Journal · doi:10.1108/bpmj-05-2016-0096 · Cited by 14 · see citing works
Business Process Deviance Mining with Sequential and Declarative Patterns
Francescomarino, C. D., Donadello, I., Ghidini, C., Maggi, F. M., & Puura, J. (2025) · Business & Information Systems Engineering · doi:10.1007/s12599-024-00911-5 · Cited by 13 · see citing works
Data-Aware Declarative Process Mining with SAT
Maggi, F. M., Marrella, A., Patrizi, F., & Skydanienko, V. (2023) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3600106 · Cited by 13 · see citing works
Self-citationNot yet another BPM lifecycle: A synthesis of existing approaches using BPMN
Nousias, N., Tsakalidis, G., & Vergidis, K. (2024) · Information and Software Technology · doi:10.1016/j.infsof.2024.107471 · Cited by 13 · see citing works
Unger, M., Leopold, H., & Mendling, J. (2015) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2015.591 · Cited by 13 · see citing works
Modeling Structured and Unstructured Processes: An Empirical Evaluation
Cardoso, E. C. S., Labunets, K., Dalpiaz, F., Mylopoulos, J., & Giorgini, P. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46397-1_27 · Cited by 13 · see citing works
Polakovič, P., Šilerová, E., Hennyeyová, K., & Slováková, I. (2018) · Agris on-line Papers in Economics and Informatics · doi:10.7160/aol.2018.100310 · Cited by 13 · see citing works
Ahmad, T., & Looy, A. V. (2019) · International Conference on Research Challenges in Information Science (RCIS) · doi:10.1109/rcis.2019.8877039 · Cited by 13 · see citing works
Integrated Declarative Process and Decision Discovery of the Emergency Care Process
Mertens, S., Gailly, F., Sassenbroeck, D. V., & Poels, G. (2020) · Information Systems Frontiers · doi:10.1007/s10796-020-10078-5 · Cited by 13 · see citing works
Exploring the diverse nature of business processes in organisations in Industry 4.0/5.0
Szelągowski, M., Berniak‐Woźny, J., Śliż, P., Potoczek, N. R., Napieraj, A., Podobińska-Staniec, M., & Senkus, P. J. (2024) · Future Business Journal · doi:10.1186/s43093-024-00395-5 · Cited by 12 · see citing works
A probabilistic approach to event log completeness
Ayo, F. E., Folorunso, O. O., & Ibharalu, F. T. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.03.039 · Cited by 12 · see citing works
Adaptive Process Management in Cyber-Physical Domains
Marrella, A., & Mecella, M. (2017) · Intelligent systems reference library · doi:10.1007/978-3-319-52181-7_2 · Cited by 12 · see citing works
Self-citationSay It in Your Own Words: Defining Declarative Process Models Using Speech Recognition
van der Aa, H., Balder, K. J., Maggi, F. M., & Nolte, A. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-58638-6_4 · Cited by 12 · see citing works
Mining context-aware resource profiles in the presence of multitasking
van Hulzen, G., Li, C.-Y., Martin, N., van Zelst, S. J., & Depaire, B. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102434 · Cited by 12 · see citing works
Tiramisù: making sense of multi-faceted process information through time and space
Alman, A., Arleo, A., Beerepoot, I., Burattin, A., Ciccio, C. D., & Resinas, M. (2024) · Journal of Intelligent Information Systems · doi:10.1007/s10844-024-00875-8 · Cited by 11 · see citing works
Modeling Crisis Management Process from Goals to Scenarios
Kushnareva, E., Rychkova, I., Deneckére, R., & Grand, B. L. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-42887-1_5 · Cited by 11 · see citing works
Graph-based managing and mining of processes and data in the domain of intellectual property
Hübscher, G., Geist, V., Auer, D., Ekelhart, A., Mayer, R. L., Nadschläger, S., & Küng, J. (2021) · Information Systems · doi:10.1016/j.is.2021.101844 · Cited by 11 · see citing works
Do You Behave Always the Same?
Federico, G. D., & Burattin, A. (2023) · Lecture notes in business information processing · doi:10.1007/978-3-031-27815-0_1 · Cited by 11 · see citing works
Evaluating user acceptance of knowledge-intensive business process modeling languages
Jalali, A. (2023) · Software & Systems Modeling · doi:10.1007/s10270-023-01120-6 · Cited by 11 · see citing works
Khanbabaei, M., Alborzi, M., Sobhani, F. M., & Radfar, R. (2019) · Knowledge and Process Management · doi:10.1002/kpm.1595 · Cited by 11 · see citing works
Automated Planning for Supporting Knowledge-Intensive Processes
Venero, S. K., Schmerl, B. R., Montecchi, L., dos Reis, J. C., & Rubira, C. M. F. (2020) · Lecture notes in business information processing · doi:10.1007/978-3-030-49418-6_7 · Cited by 11 · see citing works
Melo, G., Alencar, P., & Cowan, D. D. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9006245 · Cited by 11 · see citing works
Feature-Oriented Composition of Declarative Artifact-Centric Process Models
Eshuis, R. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98648-7_5 · Cited by 10 · see citing works
Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR
Jalali, A. (2021) · Lecture notes in business information processing · doi:10.1007/978-3-030-79186-5_10 · Cited by 10 · see citing works
Erklärbarkeit und Transparenz im Machine Learning
Waltl, B. (2019) · Springer Reference Geisteswissenschaften · doi:10.1007/978-3-658-23715-8_31-1 · Cited by 10 · see citing works
- Authors
- Di Ciccio, C., Marrella, A., & Russo, A.
- Affiliations
- Sapienza University of Rome (IT)
- Corresponding author
- Marrella, Andrea
- Venue
- Journal on Data Semantics
- Published
- 2014-04-09
- Volume
- 4
- Issue
- 1
- Pages
- 29-57
- ISSN
- 1861-2032 (ISSN-L)
- 1861-2040
- OpenAlex
- W1992412373
- Cited by
- 312
- References
- 85
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 27 · 2023: 24 · 2022: 29 · 2021: 34 · 2020: 25 · 2019: 38 · 2018: 30 · 2017: 31 · 2016: 14 · 2015: 27 · 2014: 3
- FWCI
- 55.40
- Type
- journal article
- Language
- en
- Open access
- green
- link.springer.com
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Journal on Data Semantics (publishedVersion)
- WU Research (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, other-oa)
- Funders
- European Commission (318275)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- knowledge-intensive processes, process engineering, process management, process execution, requirements analysis, evaluation framework, process approach, data-centric systems, flexibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
