The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Grieves and Vickers [35] have identified two subtypes of DT, namely: Digital Twin Prototype (DTP) and Digital Twin Instance (DTI).”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [35]
In the citing paper
“predictive maintenance [35]”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [35]
In the citing paper
“The authors of [35] proposed the term”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [35]
In the citing paper
“After the completion of a physical system, data obtained from the physical spaces is sent to the virtual space and reciprocally, used to oversee and anticipate the system's performance [35].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [35]
In the citing paper
“A Digital Twin consists of three primary components: the physical system, the virtual system, and the service system, along with Digital Twin Data that continuously connect these elements [4,100].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [4]
In the citing paper
“It is important to note that Grieves' definition of Digital Twin [6] does not apply to systems that show an Evolutionary Emergence, i.e., systems that exhibit a deliberate capability to learn and modify their behavior in order to adapt to changing conditions.”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [6]
In the citing paper
“If a user cannot distinguish a virtual product from a physical one, under appropriate simulation conditions, then a virtual representation of the physical object could be considered a Digital Twin [6].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [6]
Citations
Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 46,726
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
Computing Machinery and Intelligence (1950)
Turing, A. M. (2004) · doi:10.1093/oso/9780198250791.003.0017 · Cited by 6,120
Normal Accidents: Living with High Risk Technologies
Grimes, A. J., & Perrow, C. B. (1985) · Academy of Management Review · doi:10.2307/257982 · Cited by 4,985
Normal Accidents: Living with High-Risk Technologies
Cummings, L. L., & Perrow, C. (1984) · Administrative Science Quarterly · doi:10.2307/2392945 · Cited by 2,861
How Smart, Connected Products Are Transforming Competition
Porter, M. E., & Heppelmann, J. E. (2014) · Harvard business review · Cited by 2,600
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404
Mitchell, M. (2009) · doi:10.1093/oso/9780195124415.001.0001 · Cited by 2,310
Towards a System of Systems Concepts
Ackoff, R. L. (1971) · Management Science · doi:10.1287/mnsc.17.11.661 · Cited by 1,204
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119
Research works printed but not linked: 3
- Grieves, M. (2011). Virtually perfect: Driving innovative and lean products through product lifecycle management. Cocoa Beach, FL: Space Coast Press.
- Grieves, M. (2009). Virtually perfect: Driving innovative and lean products through product lifecycle management. Cocoa Beach, FL: Space Coast Press.
- Grieves, M. (2014). Process, practice, and innovation. In P. Gupta & B. Trusko (Eds.), Global innovation science handbook (pp. 159–172). New York: McGraw Hill Professional.
Cited by
Sorted by citations
Items 1,901–2,000 of 3,752
SCALABLE AR FOR BIM ON TELECOMMUNICATION NETWORK SITES
Palma, V., Spallone, R., Cicone, G., et al. (2022) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlvi-2-w1-2022-409-2022 · Cited by 4
Towards Digital Twins for the Development of Territories
Suvorova, A. V. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-94617-3_10 · Cited by 5
A Concept of Precision Farming Based on the Notions of the Ideal Field and Digital Twin
Lichman, G. I., Korotchenya, V. M., Smirnov, I. G., et al. (2020) · Elektrotekhnologii i elektrooborudovanie v APK · doi:10.22314/2658-4859-2020-67-3-81-86 · Cited by 4
Towards the Implementation of a Digital Twin for Induction Motors
Adamou, A. A., & Alaoui, C. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-01942-5_51 · Cited by 4
Urban scale climate change adaptation through smart technologies
Bazazzadeh, H., Pourahmadi, B., Pilechiha, P., Safaei, S. S. H., & Berardi, U. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85552-5.00011-7 · Cited by 4
Blockchain Powered QA Process Management for Digital Twins
Le, V. T., Ahmann, M., Benedikt, M., et al. (2022) · International Conference on System Reliability and Safety (ICSRS) · doi:10.1109/icsrs56243.2022.10067396 · Cited by 4
Optimal Energy Consumption Control in a Multi-Zone Building Based on a Hybrid Digital Twin
Maryasin, O. Y. (2023) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon57312.2023.10110760 · Cited by 4
Binbin, H., Yingfeng, Z., Huang, B., et al. (2022) · Journal of Mechanical Engineering · doi:10.3901/jme.2022.12.250 · Cited by 4
A Digital Twin for Remote Learning: A Case Study
Kovbasiuk, K., Demčák, J., Husár, J., Hošovský, A., & Hladký, V. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-32767-4_36 · Cited by 4
Işık, G. E., & Achten, H. H. (2023) · Architecture and Planning Journal (APJ) · doi:10.54729/2789-8547.1199 · Cited by 4
Lind, A., Hanson, L. Å., Högberg, D., et al. (2023) · International Journal of Services Operations and Informatics · doi:10.1504/ijsoi.2023.132345 · Cited by 4
Design and Implementation of Farmer Digital Twin Control in Smart Farming
Mulyani, G. S., Adhitya, Y., & Köppen, M. (2023) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-40971-4_49 · Cited by 4
Moving Horizon Estimation for Digital Twins using Deep Autoencoders
Chakrabarty, A., Vinod, A. P., Mansour, H., Bortoff, S. A., & Laughman, C. R. (2023) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.10.207 · Cited by 4
Riedel, O., Kürümlioglu, M., & Schneider, B. (2023) · Springer eBooks · doi:10.1007/978-3-642-45370-0_132-1 · Cited by 4
Industry 4.0 Support to Automotive Electrification: Current Challenges and Opportunities
Colovato, M. R., & Baldo, C. R. (2023) · IEEE International Conference on Industry Applications · doi:10.1109/induscon58041.2023.10374783 · Cited by 4
Tulasiraman, M., Dayanandan, U., Ferrnandez, T. F., Vellaichamy, V., & Rajasekeran, D. (2024) · Optical and quantum electronics · doi:10.1007/s11082-023-06133-5 · Cited by 5
RetractedEstimating Parameters with Data Farming for Condition-Based Maintenance in a Digital Twin
Wuttke, A., Hunker, J., Rabe, M., & Diepenbrock, J.-P. (2023) · Winter Simulation Conference · doi:10.1109/wsc60868.2023.10408594 · Cited by 4
Naderi, H., Ly, R., & Shojaei, A. (2024) · Construction Research Congress 2024 · doi:10.1061/9780784485262.031 · Cited by 7
A Digital Twin System to Support Decision Making for the Circular Economy
van Dyk, C. A., Kruger, K., & Basson, A. H. (2024) · Studies in computational intelligence · doi:10.1007/978-3-031-53445-4_30 · Cited by 4
Virtual labs for higher education in industrial engineering
Walter Terkaj, A., Kleine, K., & Kuts, V. (2024) · Proceedings of the Estonian Academy of Sciences · doi:10.3176/proc.2024.2.07 · Cited by 4
Melo, A. D. L. S., & Alcántara, F. E. B. (2024) · Springer eBooks · doi:10.1007/978-3-031-59644-5_27 · Cited by 5
Lopes, W. A. C., Rusteiko, A. C., Mendes, C. R., Honório, N. V. C., & Okano, M. T. (2024) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-71633-1_29 · Cited by 5
Modeling of Logistics Networks with Labeled Property Graphs for Simulation in Digital Twins
Wuttke, A., Hunker, J., Scheidler, A. A., et al. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-68438-8_10 · Cited by 4
Saft, P., Pfeil, M., Stetter, R., et al. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.06.025 · Cited by 4
Knowledge-Enhanced Digital Twin for Industrial Production Process
Yang, C., Zheng, Y., Hua, Y., Ala-Laurinaho, R., Atmojo, U. D., & Tammi, K. (2024) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin58382.2024.10774266 · Cited by 4
Creating a Digital Twin: Simulation of a Business Model Design Tool
Rambow-Hoeschele, K., Rambow, N. G., Hampel, M. M., Harrison, D. K., & Wood, B. (2019) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj040607 · Cited by 4
Model-predictive safety: A new evolution in functional safety
Soroush, M., Masooleh, L. S., Arbogast, J. E., et al. (2020) · Smart Manufacturing · doi:10.1016/b978-0-12-820027-8.00011-3 · Cited by 4
Engineering 4.0—Foundations of the Digitalization of Engineering
Eigner, M. (2021) · Springer eBooks · doi:10.1007/978-3-658-33874-9_3 · Cited by 4
Shadrin, S. S., & Makarova, D. A. (2022) · Systems of Signals Generating and Processing in the Field of on Board Communications · doi:10.1109/ieeeconf53456.2022.9744309 · Cited by 4
Design and Implementation of Digital Twin Data Engine
Wang, L., Ning, L., Peng, T., et al. (2022) · Architecture Engineering and Science · doi:10.32629/aes.v3i4.1069 · Cited by 4
Digital twin information technology for biomedical data complex representation and processing
Dychka, I. A., Sulema, Y. S., & Bukhtiiarov, I. (2019) · Вісник Херсонського національного технічного університету · doi:10.35546/kntu2078-4481.2019.3.12 · Cited by 4
Künstliche Intelligenz in der Allgemein- und Viszeralchirurgie
Wilhelm, D., Ostler, D., Müller-Stich, B. P., Lamadé, W., Stier, A., & Feußner, H. (2020) · Der Chirurg · doi:10.1007/s00104-019-01090-w · Cited by 4
Digitalisierung in der onkologischen Chirurgie
Wilhelm, D., Berlet, M., Feußner, H., & Ostler, D. (2020) · Forum · doi:10.1007/s12312-020-00879-9 · Cited by 4
Industry 4.0 and BIM: Do They Share the Same Objectives?
Joblot, L., Danjou, C., Pellerin, R., et al. (2021) · Lecture notes in mechanical engineering · doi:10.1007/978-3-030-70566-4_65 · Cited by 4
Design of Deterministic Transmission Framework for Distributed Power System Based on Digital Twin
Song, Y. X., Guo, C., Xu, P., & Wang, J. (2021) · IEEE Conference on Energy Internet and Energy System Integration (EI2) · doi:10.1109/ei252483.2021.9713401 · Cited by 4
Implementation of an Energy Metering System for Smart Production
Halstenberg, F. A., Lindow, K., & Stark, R. (2019) · Springer eBooks · doi:10.1007/978-981-13-1196-3_11 · Cited by 4
Utility, Advantages and Challenges of Digital Technologies in the Manufacturing Sector
Nadeau, S. (2018) · Ergonomics International Journal · doi:10.23880/eoij-16000188 · Cited by 4
Digitalized Deepwater Production Facilities for South America - Challenges and Opportunities
Aggarwal, R., & Renzi, D. (2019) · Offshore Technology Conference Brasil · doi:10.4043/29944-ms · Cited by 4
Gräßler, I. (2020) · doi:10.31224/osf.io/mpk6w · Cited by 4
A Model Proposal For Digital Twin Development: Essential Oil Extraction PerspectivePreprint
de Andrade, M. A., Lepikson, H., & Machado, C. (2021) · Research Square · doi:10.21203/rs.3.rs-300217/v1 · Cited by 3
The Hitchhiker's Guide to Fused Twins: A Review of Access to Digital Twins in situ in Smart CitiesPreprint
Grübel, J., Thrash, T., Aguilar, L., Gath-Morad, M., Chatain, J., Sumner, R. W., Hölscher, C., & Schinazi, V. R. (2022) · arXiv (Cornell University) · doi:10.3929/ethz-b-000557717 · Cited by 4
Role of Digital Twin Technology in Medical Sector—Toward Ensuring Safe Healthcare
Kumar, S., Fred, A. L., Miriam, L. R. J., Christina, J. I., Kumar, H. A., Padmanabhan, P., & Gulyás, B. Z. (2022) · Wiley eBooks · doi:10.1002/9781119842316.ch5 · Cited by 4
Digital Twins for Warship Systems: Technologies, Applications and Challenges
Ferreno-Gonzalez, S., Doce, A. M., González, M. M., Caamaño, L. S., & Casás, V. D. (2022) · doi:10.1002/9781119892199.ch7 · Cited by 4
High-Level Architecture for Interoperable Digital TwinsPreprint
Traoré, M. K. (2023) · Preprints.org · doi:10.20944/preprints202310.0659.v1 · Cited by 4
Organization Routines in Next Generation Manufacturing
Brauner, P., Vervier, L., Brillowski, F., Dammers, H., Steuer-Dankert, L., Schneider, S., Baier, R., Ziefle, M., Gries, T., Leicht-Scholten, C., et al. (2022) · Contributions to management science · doi:10.1007/978-3-031-07734-0_5 · Cited by 3
Digital Twins for Healthcare and Telecommunications Applications: A Survey
Ibrahim, S., & Salhab, N. (2023) · International Conference on Data Analytics for Business and Industry (ICDABI) · doi:10.1109/icdabi60145.2023.10629348 · Cited by 3
IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State
Bleistein, T., Paulus, M., Gani, K., Becker, R., & Werth, D. (2025) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.2923 · Cited by 5
A Supply Chain Digital Twins Framework with Generative Knowledge Graph
Zhang, J., Wang, Y., Jia, Z., & Ren, L. (2024) · IEEE Smart World Congress (SWC) · doi:10.1109/swc62898.2024.00315 · Cited by 3
Analyzing the Readiness for Digital Twin Implementation in the Apparel Industry: A Systematic Review
Anthonypillailionel, D., & Oruthotaarachchi, C. (2025) · 2025 5th International Conference on Advanced Research in Computing (ICARC) · doi:10.1109/icarc64760.2025.10963261 · Cited by 2
A novel digital twin-based evaluation method of clearance and step-off for thermal protection system
Shi, J., Huang, X., Hou, G., et al. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/add03c · Cited by 3
Digital twin-driven method for determining wind force coefficients of a bridge deck section
Li, H.-Y., Xu, Y. L., Liao, H., et al. (2025) · Engineering Applications of Computational Fluid Mechanics · doi:10.1080/19942060.2025.2501389 · Cited by 3
Intelligent Manufacturing - a New Understanding of Systems Integration
Geisert, C., Uhlmann, E., & Polte, J. (2025) · Journal of Machine Engineering · doi:10.36897/jme/205697 · Cited by 3
Ghansah, F. A., Udeaja, C. E., Darko, A., Lu, W., Agyekum‐Mensah, G., Antwi-Afari, P., Twum-Ampofo, S., Ababio, B. K., & Debrah, C. (2025) · CIB Conferences · doi:10.7771/3067-4883.1911 · Cited by 3
Casualty Behaviour and Mass Decontamination: A Narrative Literature Review
Long, F., & Majumdar, A. (2025) · Urban Science · doi:10.3390/urbansci9070283 · Cited by 6
Bhaskar, A., Kashyap, A., Shukla, O. J., Kumar, R., Singh, A., & Oberoi, S. S. (2025) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-025-02887-1 · Cited by 4
Unmanned Aerial Vehicles Data Model
Pereira, P. H. M., Bampi, M. D., Basso, M., et al. (2025) · doi:10.1109/lciot64881.2025.11118426 · Cited by 3
Zhao, W., Li, R., Liu, X., et al. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-16274-4 · Cited by 3
Visualizing ESG Performance in an Integrated GIS–BIM–IoT Platform for Strategic Urban Planning
Wu, Z., Islam, S., & Tang, L. (2025) · Buildings · doi:10.3390/buildings15183394 · Cited by 3
Qi, Y., Xia, Z., Li, X., Liu, Z., Chen, Z., Li, J., Wang, Y., & Wang, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0332449 · Cited by 4
Richter, F., Campbell, K., & Riedl, J. (2025) · Data & Policy · doi:10.1017/dap.2025.10027 · Cited by 6
A Digital Twin-Based Multi-agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination
Hua, Z., Oikonomou, P., Djemame, K., et al. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-8411-6_39 · Cited by 3
Differentiating Between Digital Twins and Control Systems for Complex Systems
Lussier, J., Hua, E. Y., Ledford, A., Thomas, L. D., Bossuyt, D. L. V., & Wooley, A. (2025) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4070329 · Cited by 4
Data-Driven ESG KPIs Optimization: A Framework for Smart Buildings and Smart Factories
Spilotro, C., Secundo, G., Magaletti, N., Zini, E., Tognon, C., & Zerega, A. (2025) · Sustainability · doi:10.3390/su172310837 · Cited by 4
Babkin, A. V., & Григорьевич, Т. А. (2025) · Russian Journal of Industrial Economics · doi:10.17073/2072-1633-2025-4-1553 · Cited by 3
Sánchez-Fernández, Á., Vlad-Voinea, E.-D., Pernas-Álvarez, J., et al. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14010106 · Cited by 3
An implementation of sensor network to assess near real-time digital twin fidelity
Jauhar, T. A., Han, S., Khan, T. H., Noh, C., & Lavrinec, A. (2026) · Cyber-Physical Systems · doi:10.1080/23335777.2026.2613415 · Cited by 6
Dubey, A. (2025) · IEEE International Symposium on Emerging Metaverse (ISEMV) · doi:10.1109/isemv67326.2025.00034 · Cited by 4
Personalised LLMs and the risks of the digital twin metaphor
Annoni, M., Battisti, D., & Marchegiani, B. (2026) · AI & Society · doi:10.1007/s00146-026-02875-4 · Cited by 5
Xu, C., Cheng, Y., Zhou, Y., et al. (2026) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-026-17548-1 · Cited by 3
Rojas, L., Jorquera, L., & García, J. (2026) · Mathematics · doi:10.3390/math14050763 · Cited by 3
Wu, B., Sui, W.-H., & Han, G.-L. (2026) · Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards · doi:10.1080/17499518.2026.2649027 · Cited by 2
Meng, L., Liu, Y., & Zhu, J. (2026) · Scientific Reports · doi:10.1038/s41598-026-49367-5 · Cited by 3
Pylarinou, C., Gortzis, L. G., Leivaditis, V., Liolis, E., Antzoulas, A., Papadoulas, S., Nikolakopoulos, K. M., Panagiotopoulos, I., Mitsos, S., Tomos, P., et al. (2026) · Bioengineering · doi:10.3390/bioengineering13060686 · Cited by 3
Babu, A. M., & Madhan, E. S. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1827007 · Cited by 4
A Human-Centered Domain-Agnostic User Interface for Digital Twins
Andruccioli, M., Olaiya, K., Delnevo, G., et al. (2026) · IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) · doi:10.1109/percomworkshops68308.2026.11585387 · Cited by 3
Digital twin construction for biomimetic materials
Shen, T., Zhang, C., Jiang, L., & Dong, Z. (2026) · Advanced bionics. · doi:10.1016/j.abs.2026.07.006 · Cited by 3
Radionov, A. A., Voronin, S. S., Litvinov, A. V., Karandaev, A. S., Gasiyarov, V. R., Gasiyarova, O. A., Loginov, B. M., & Khramshin, V. R. (2026) · Energies · doi:10.3390/en19143443 · Cited by 3
Unsupervised Anomaly Detection on Multisensory Data from Honey Bee Colonies
Senger, D., Johannsen, C., Melemenidis, A., et al. (2020) · Proceedings · doi:10.1109/icdm50108.2020.00156 · Cited by 3
Bertoni, M. (2022) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-14844-6_47 · Cited by 3
Syberfeldt, A., Lämkull, D., Högberg, D., Hanson, L. Å., & Lind, A. (2023) · International Journal of Services Operations and Informatics · doi:10.1504/ijsoi.2023.10055937 · Cited by 7
Towards a UHF RFID Electromagnetic Fingerprint-Based Web Resolver for Digital Twins
Hasnaeen, S. M. N., Neupane, S., & Chrysler, A. M. (2023) · IEEE International Conference on RFID · doi:10.1109/rfid58307.2023.10178655 · Cited by 3
Cloud-based Digital Twins Storage in Emergency Healthcare
Wang, E., Tayebi, P., & Song, Y.-T. (2023) · IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA) · doi:10.1109/sera57763.2023.10197705 · Cited by 3
Supporting Adaptive Multi-Agent Systems with Digital Twins Environments
Burattini, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43264-4_30 · Cited by 3
Dual cycle time modelling and design optimisation for the bidirectional flow-rack AS/RS
Hamzaoui, M. A., Sari, Z., & Leila, B. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2282186 · Cited by 3
Auf Digitalen Zwillingen basiertes Life Cycle Assessment
Elsner, J., Gabriel, A., Ackermann, T., et al. (2023) · Zeitschrift für wirtschaftlichen Fabrikbetrieb · doi:10.1515/zwf-2023-1167 · Cited by 3
Modeling and Architecting of Complex Software Systems
Abrahão, S., Staron, M., Insfrán, E., & Muccini, H. (2024) · IEEE Software · doi:10.1109/ms.2024.3363541 · Cited by 3
A Digital Twin Framework for Personalized Healthcare Management Services
Ullah, H., Abuali, N. A., & Hayajneh, M. (2023) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot58464.2023.10539428 · Cited by 3
Basu, A. (2024) · Artificial intelligence · doi:10.5772/intechopen.114908 · Cited by 3
Liu, Q. A., & McAuley, K. B. (2024) · The Canadian Journal of Chemical Engineering · doi:10.1002/cjce.25386 · Cited by 3
Zhang, E., Shen, F., Liu, S., Chen, G., Zhang, F., & Li, S. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202454602010 · Cited by 3
Comprehensive Metaverse Design Concept Using Augmented Reality, Virtual Reality, and Mixed Reality
Yadav, A. K., & Dwivedi, S. P. (2024) · Blockchain technologies · doi:10.1007/978-981-97-2278-5_11 · Cited by 4
Towards a Maturity Model for Intelligent Digital Twins in Manufacturing
Villegas, L. F., Macchi, M., & Polenghi, A. (2024) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-71633-1_21 · Cited by 4
Digital Twins in Manufacturing: A Three-layer Heat-map Analysis
Villegas, L. F., Macchi, M., & Polenghi, A. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.09.227 · Cited by 3
What-if considerations in digital twinning; an autorarchic approach
Pronk, L., Damgrave, R., & Lutters, E. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.03.026 · Cited by 3
Digital twin system for automated container terminal and a case study*
Bao, X., Jia, F., Zhong, J., Zhang, L., Liu, C., Chen, L., & Zheng, Y. (2024) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case59546.2024.10711351 · Cited by 4
Bouhali, I., Idasiak, V., Martinez, J., et al. (2024) · IEEE International Symposium on Systems Engineering · doi:10.1109/isse63315.2024.10741137 · Cited by 3
Kahawala, S., Madhusanka, N., Silva, D. D., Osipov, E., Mills, N., Manic, M., & Jennings, A. (2024) · Smart Cities · doi:10.3390/smartcities7060131 · Cited by 3
Digital Twin for CNC Machine Tools Design
Klic, D., Minarcik, M., Polzer, A., Tůma, J., Marek, J., & Holub, M. (2024) · International Conference on Mechatronics - Mechatronika · doi:10.1109/me61309.2024.10789668 · Cited by 3
Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations
Cardoso, F. S., Araújo, T. D. S., Rohrich, R. F., et al. (2025) · Scientific Reports · doi:10.1038/s41598-024-84997-7 · Cited by 3
Gautam, D., Thakur, G., Prajapat, S., & Kumar, P. (2025) · Vehicular Communications · doi:10.1016/j.vehcom.2025.100890 · Cited by 3
Metadata
- Authors
- Grieves, M., & Vickers, J.
- Affiliations
- Florida Institute of Technology (US)
- Marshall Space Flight Center (US)
- Corresponding author
- Grieves, Michael
- Venue
- Transdisciplinary Perspectives on Complex Systems
- Publisher
- Springer International Publishing
- Published
- 2016-08-17
- Pages
- 85-113
- OpenAlex
- W2518003110
- Semantic Scholar
- 157d07292ffadb2c17d100f5b0471b356868ab3e
- Cited by
- 3,727
- References
- 32
- Citations by year
- 2026: 697 · 2025: 743 · 2024: 619 · 2023: 580 · 2022: 431 · 2021: 296 · 2020: 187 · 2019: 113 · 2018: 47 · 2017: 12 · 2016: 2
- FWCI
- 138.63
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Keywords
- digital twin, emergent behavior, complex systems, product life cycle, systems engineering, normal accidents, human interaction, front-running, NASA
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
