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 2,601–2,700 of 3,752
Neural Processes-Based Node Modeling to Extrapolate Router Metrics
Hattori, K., Korikawa, T., & Takasaki, C. (2024) · IEICE Transactions on Communications · doi:10.23919/transcom.2024ebp3089 · Cited by 1
Ritu, T. H., Nag, A., Bairagi, A. K., & Rahman, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-69336-6_16 · Cited by 1
A Digital Twin Approach to Building’s Dossier for Seismic Prevention
Gasperis, G. D., & Facchini, S. D. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70415-4_8 · Cited by 1
The Impact of Digital Twins on Accounting: Evidence from the Egyptian Environment
Abu-Musa, A. A. E.-S., & Rayan, A. M. (2024) · International Journal of Accounting and Management Sciences · doi:10.56830/ijams10202402 · Cited by 1
Designing a Resilient Hybrid-Modeled Digital Twin for Reliable Manufacturing Processes
Wagner, M., Sousa, F. J. P., Halla, R., Santana, O., Klar, M., & Aurich, J. C. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-74482-2_17 · Cited by 1
Optimizing Large-Scale Inorganic Processes: Model-Based Digital Design of RH-DS Apparatus
Szczeblewski, S., Wachowiak, M., & Gębicki, J. (2025) · Processes · doi:10.3390/pr13010077 · Cited by 2
Reverse Engineering-Based Modeling of an EV Motor Drive for Digital Twin Development
Ibrahim, M., Rassõlkin, A., & Rjabtšikov, V. (2024) · doi:10.1109/esars-itec60450.2024.10819839 · Cited by 1
Employment of Ml and AI In Asset Management and Evaluation
Selvakumar, P., Murugan, S. P., Gupta, P. K., Reddy, D. S., & Srivastava, P. (2025) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-8507-4.ch005 · Cited by 1
Role of digital twins and blockchain for the internet of medical things
Kumari, S., & Prabha, C. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34226-4.00005-8 · Cited by 1
Guidance on a Digital Factory Twin: Proposal for a Reference Architecture
Lick, J., Kattenstroth, F., Trienens, M., Disselkamp, J.-P., Arno, K., & Roman, D. (2024) · IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) · doi:10.1109/ictmod63116.2024.10878221 · Cited by 1
A Microservices-Driven Digital Twin Model for Precision Farming in a Controlled Indoor Environment
Lubis, R., Widyotriatmo, A., Albert, et al. (2024) · doi:10.1109/time-e62724.2024.10919834 · Cited by 1
IoT and Digital Twin for Monitoring and Simulating Living Spaces Scenarios
Donato, M. C. D., Corradini, F., Fornari, F., et al. (2025) · Engineering cyber-physical systems and critical infrastructures · doi:10.1007/978-3-031-83149-2_12 · Cited by 1
Einsatz digitaler Schatten in der Teilefertigung
Heller, J., Ullrich, M., Haas, A., et al. (2025) · Zeitschrift für wirtschaftlichen Fabrikbetrieb · doi:10.1515/zwf-2025-1028 · Cited by 1
Estimation and Synchronization of Vehicle States with Uncertainty in Digital Twin System
Ke, T., Chen, C., Xu, Q., et al. (2024) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc58415.2024.10919877 · Cited by 1
Liu, X. (2025) · International Journal of Education and Social Development · doi:10.54097/hv1vkr94 · Cited by 1
Chen, Y., & Huang, L. (2025) · Springer eBooks · doi:10.1007/978-981-97-8788-3_10 · Cited by 1
Nielsen, M. K., & Tambo, T. (2025) · Springer proceedings in business and economics · doi:10.1007/978-3-031-72490-9_44 · Cited by 1
Digital Twins in Retail: Optimizing Store Operations and Enhancing Customer Experience
Pala, N. P. N. (2025) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-24657 · Cited by 2
Constructing Enterprise Digital Twins by Augmenting LLMs with MDE
Barat, S., Mulpuru, D., Yadav, A., Korabu, R., Thogaru, H., & Kulkarni, V. (2025) · Innovations in Software Engineering Conference (ISEC) · doi:10.1145/3717383.3717391 · Cited by 1
Plotnikova, O. O., Komkova, D. S., Вячеславович, Д. И., et al. (2025) · Eurasian Soil Science · doi:10.1134/s1064229324604451 · Cited by 1
Exploring Synergies and Challenges of System-of-Systems Digital Twins
Cavalcante, E., Batista, T., & Oquendo, F. (2025) · IEEE International Conference on Software Architecture Companion (ICSA-C) · doi:10.1109/icsa-c65153.2025.00038 · Cited by 1
Sustainable Management of Energy Storage in Electric Vehicles Involved in a Smart Urban Environment
Razek, A. (2025) · Energy storage and applications · doi:10.3390/esa2020007 · Cited by 1
Azanaw, G. M. (2025) · American Journal of Construction and Building Materials · doi:10.11648/j.ajcbm.20250902.11 · Cited by 1
Digital Twin Framework for Smart City Development: Systematic Review
Miraoui, Z., Nasser, A., & Kodad, M. (2025) · International Conference on Circuit, Systems and Communication (ICCSC) · doi:10.1109/iccsc66714.2025.11135106 · Cited by 1
Invisible Citizens, Visible Futures: Rethinking Inclusivity in Urban Digital Twins
Coluccino, D. M., Balzola, B., Vagnoni, S., Ciutat, L. R., & Ferraris, A. F. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05176-9_38 · Cited by 1
xFAIR: A Multi-Layer Approach to Data FAIRness Assessment and Data FAIRification
Longo, A., Zappatore, M. S., Colella, D. D., Zampino, F., & Calò, A. (2025) · Journal of Data and Information Quality · doi:10.1145/3769113 · Cited by 2
Agrawal, K., & Goswami, S. (2025) · International Conference for Advancement in Technology (ICONAT) · doi:10.1109/iconat66879.2025.11362610 · Cited by 1
Lin, Z., & Wang, A. (2018) · doi:10.1109/iceee2.2018.8391364 · Cited by 1
Hardware and Software Infrastructure of Digital Twin Technology
Zakharov, L. A., & Derksen, L. A. (2020) · KnE Engineering · doi:10.18502/keg.v5i3.6754 · Cited by 1
Erweitertes Digital-Twin-Konzept unter Berücksichtigung des Entwicklers
Hick, H., Bajzek, M., Kranabitl, P., et al. (2020) · Zeitschrift für wirtschaftlichen Fabrikbetrieb · doi:10.3139/104.112302 · Cited by 1
Validation of a Digital Twin for a Ship Engine Cooling System
Hammarström, J. (2020) · Cited by 1
Discussion on the Application of Digital Twins in the Wear of Parts
Xie, F., & Zhou, Z. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-3753-0_15 · Cited by 1
A MODEL PROPOSAL FOR DIGITAL TWIN DEVELOPMENT
de Andrade, M. A. N., Lepikson, H. A., Machado, C. A. T., et al. (2020) · doi:10.5151/siintec2020-amodel · Cited by 1
Envisaging Urban Changes for the Smart City: The Live City Information Modeling (LCIM)
Fistola, R., & Rastelli, A. (2021) · Lecture notes in civil engineering · doi:10.1007/978-3-030-68824-0_17 · Cited by 1
Méndez-Blanco, C. S., & Özkan, L. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.08.277 · Cited by 1
Engineering 4.0 – Grundlagen der Digitalisierung des Engineerings
Eigner, M. (2021) · Springer eBooks · doi:10.1007/978-3-662-62183-7_3 · Cited by 1
Validity Frame Supported Digital Twin Design of Complex Cyber-Physical Systems
Acker, B. V., Mertens, J., Meulenaere, P. D., & Denil, J. (2021) · Annual Modeling and Simulation Conference (ANNSIM) · doi:10.23919/annsim52504.2021.9552100 · Cited by 1
Digital Twin An Aid To Sustainability: “The Samba” Case
Aura, C. (2021) · The European Proceedings of Social & Behavioural Sciences · doi:10.15405/epsbs.2021.12.04.1
MTConnect and Digital Twin Applications and Future Perspectives
Sharadah, F. M., Al-Dubaee, S. A., & Weir, G. R. S. (2022) · Studies in systems, decision and control · doi:10.1007/978-3-030-96802-1_5 · Cited by 1
Galeno, G., Barth, L., Ehrat, M., & Demiriz, U. (2022) · Progress in IS · doi:10.1007/978-3-030-97042-0_9 · Cited by 1
Roland, M., Höller, T., & Mayrhofer, R. (2023) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-023-00949-1 · Cited by 2
Hassan, S., Admodisastro, N. I., Zulzalil, H. B., et al. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-8406-8_40 · Cited by 1
Digital Twins in Machine Development and Self-adjusting Operations
Hansen, J. P. D. O., da Silva, E. R., Bilberg, A., et al. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-34821-1_78 · Cited by 1
Björklund, L., Schick, J., Lundteigen, M. A., & Glaser, M. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109733 · Cited by 1
An architecture for the digital twin of a manufacturing cell
Redelinghuys, A. J. H. (2020) · Cited by 1
Ju, B., & Kelm, K. M. (2020) · The World Bank Open Knowledge Repository (World Bank) · doi:10.1596/34900 · Cited by 1
Framework to model virtual factories: a digital twin viewPreprint
Malik, A. A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.03034 · Cited by 3
Digital twins for collaborative robots: a case studyPreprint
Malik, A. A., & Brem, A. (2020) · arXiv (Cornell University) · Cited by 1
A Differentiable Solver Approach to Operator InferencePreprint
Hartmann, D., & Failer, L. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.02093 · Cited by 2
Digital-twin Healthcare: A Gateway to Future Medicine (Preprint)Preprint
Li, Z. (2022) · doi:10.2196/preprints.36867 · Cited by 1
Insole Systems for Disease Diagnosis and RehabilitationPreprint
Gao, S., Zhang, Z., Wang, J., et al. (2022) · doi:10.36227/techrxiv.19200425.v1 · Cited by 1
Towards offshore wind digital twins: Application to jacket substructures
Augustyn, D. (2022) · doi:10.54337/aau466212933 · Cited by 1
de Alwis, C., Pham, Q., & Liyanage, M. (2022) · Wiley eBooks · doi:10.1002/9781119862321.ch10 · Cited by 2
Zhang, J., Tang, W., Zhu, Z., Skitmore, M., Philbin, S. P., Lu, Y., Liu, H., & Ni, Q. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4352104 · Cited by 1
Shvedenko, V. N., & Shchekochikhin, O. V. (2023) · Research Square · doi:10.21203/rs.3.rs-2587376/v1 · Cited by 1
Wang, X., Lv, P., Zhang, F., Wang, W., Liu, X., Zhang, Q., Mou, J., Huang, X., & Dai, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4639357 · Cited by 1
Wolf, Á., Romeder-Finger, S., Széll, K., et al. (2023) · SLAS DISCOVERY · doi:10.1016/j.slasd.2023.12.004 · Cited by 1
RetractedDefining the Digital Twin for Industry 4.0
deWardener, Z. (2023) · doi:10.23860/thesis-2438 · Cited by 1
Malik, A. A., Masood, T., & Brem, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4781837 · Cited by 1
Ghosh, S. K., Hughes, M., Hughes, P., & Hodgkinson, I. R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4836502 · Cited by 1
Rafsanjani, H. N., Nabizadeh, A. H., & Momeni, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4837416 · Cited by 4
Okita, S. Y. (2024) · Springer eBooks · doi:10.1007/978-981-13-2262-4_282-1 · Cited by 1
How relevant is the digital twin to the urban world?
Batty, M. (2025) · Dialogues in Urban Research · doi:10.1177/27541258251315136 · Cited by 1
Azanaw, G. M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5278163 · Cited by 1
Nasirinejad, M., Afshari, H., & Sampalli, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5364003 · Cited by 1
Theorising, Designing, and Implementing Digital Twins in Operations and Supply ChainsPreprint
Brusset, X., Kinra, A., & Drake, M. J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5354298 · Cited by 1
AI‐driven Digital Twin Framework for Securing 6G Networks
Sowmya, P., Singh, T. M., & Reddy, C. K. K. (2025) · Wiley eBooks · doi:10.1002/9781394411337.ch5 · Cited by 3
Next-gen AI for Aerospace Engineering
Khan, S. (2025) · doi:10.4271/epr2025016 · Cited by 1
Agentic AI-driven digital twin system for autonomous urban flood monitoringPreprint
Kim, D., & Lee, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5624461 · Cited by 1
Wang, Z., Zhao, Y. C., Zhao, H., Nasser, A., Yap, N. A., Liu, Y., Sun, A., Chen, W., Butcher, K. S., Ang, T., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.03.709446 · Cited by 1
From Testbed to Simulation: A Unified Emulation Framework for IoT-Based Digital Twins
Tudorache, L., Kurtev, I., & van den Brand, M. (2026) · Proceedings of the ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems · doi:10.1145/3837062.3839095
“Following Grieves and Vickers’ conceptualization, there are two types of DTs: Digital Twin Prototype (DTP) and Digital Twin In-stance (DTI) [9].”
Rines, M. R., Balchanos, M. G., & Mavris, D. N. (2019) · AIAA SciTech Forum · doi:10.2514/6.2019-1373
Enabling Expanded Aerospace Automation Using Tactile Cognition Analytics
Bullen, G. N. (2019) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2019-01-1360
Complex Aerospace Systems Engineering Education
Chaput, A. J. (2019) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/5.9781624105654.0251.0270
Cybersecurity as a Complex Adaptive Systems Problem
McEver, J. G., Vasatka, J., Syphert, R., et al. (2019) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/5.9781624105654.0201.0214
Mesmer, B. L. (2019) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/5.9781624105654.0045.0064
Felder, W. N. (2019) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/5.9781624105654.0215.0234
Valasek, J. (2019) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/5.9781624105654.0235.0250
Barat, S. (2020) · Advances in e-business research series · doi:10.4018/978-1-7998-0108-5.ch004
Yashin, S. N., Trifonov, Y., & Koshelev, E. (2020) · Finance and Credit · doi:10.24891/fc.26.7.1448
The Digital Twin Technology Utilizing Inspection Robots
Yamasaki, F. (2020) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.38.600
Bratchikov, S., & Abramova, E. A. (2021) · Herald of Dagestan State Technical University Technical Sciences · doi:10.21822/2073-6185-2020-47-4-8-19
Developing a Digital Interactive Fabrication Process in Co-existing Environment
Chen, C.-Y., Chang, T.-W., & Hsiao, C.-F. (2021) · Springer eBooks · doi:10.1007/978-981-33-4400-6_3
Savolainen, J., & Collan, M. (2020) · FUZZY ECONOMIC REVIEW · doi:10.25102/fer.2020.01.04
Digital twins as "cutting edge technology" in the modern world
Mitina, O. A., & Karklis, A. D. (2021) · doi:10.18411/lj-03-2021-08
Elaboração de modelo de maturidade (Indústria 4.0) para fabricantes de componentes industrializados
Cavalcante, C. S. C., & Corrêa, F. R. (2021) · Simpósio Brasileiro de Tecnologia da Informação e Comunicação na Construção · doi:10.46421/sbtic.v3i00.569
Innovative Relations within the Software Application for Industry 4.0
Monka, P. P., & Monková, K. (2021) · Procedia CIRP · doi:10.1016/j.procir.2021.11.160
Case Study of Building a Digital Twin for a Production System
Burčiar, F., Važan, P., & Pulišová, S. (2021) · Research Papers Faculty of Materials Science and Technology Slovak University of Technology · doi:10.2478/rput-2021-0024
ECTS: Enhanced Centralized TSCH Scheduling with Packet Aggregation for Industrial IoTPreprint
Michaelides, C., Adame, T., & Bellalta, B. (2021) · doi:10.36227/techrxiv.17198594
ECTS: Enhanced Centralized TSCH Scheduling with Packet Aggregation for Industrial IoTPreprint
Michaelides, C., Adame, T., & Bellalta, B. (2021) · doi:10.36227/techrxiv.17198594.v1
An Initial Concept for an Error-Based Digital Twin Framework for Dynamics Applications
Edington, L. J., Dervilis, N., Gardner, P. A., & Wagg, D. (2021) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-030-77348-9_13
Improving the Understanding of a Remote Environment by Immersive Man-Machine Interaction
Böken, D., Schluse, M., & Roßmann, J. (2022) · Springer eBooks · doi:10.1007/978-3-030-74032-0_11
DIGital asset in the system of real estate management
Bolshakov, N., Пляко, А. И., Celani, A., et al. (2021) · Audit and Financial Analysis · doi:10.38097/afa.2021.64.47.027
Monitoring of Core Components of Power Router Based on Digital Twin Technology
Yi, S., Dai, M., Cai, Z., Zeng, X., Qu, G., & Gu, S. (2021) · International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO) · doi:10.1109/aeero52475.2021.9708180
Stjepandić, J., Sommer, M., Stobrawa, S., et al. (2021) · Springer series in advanced manufacturing · doi:10.1007/978-3-030-77539-1_1
Insole Systems for Disease Diagnosis and RehabilitationPreprint
Gao, S., Zhang, Z., Wang, J., et al. (2022) · doi:10.36227/techrxiv.19200425
Toward Smart Public Lighting of Future Cities
Mohammadzadeh, M., & Phung, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-51812-7_107-1
PODDUBKO, S. N., Algin, V. B., ISHIN, N. N., & Shil’ko, S. V. (2021) · Mechanics of Machines Mechanisms and Materials · doi:10.46864/1995-0470-2021-4-57-5-19
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