The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability
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Citations
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000033 · Cited by 3,232
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Self-citationIvanov, D., & Dolgui, A. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1750727 · Cited by 2,100
Self-citationAlgorithm appreciation: People prefer algorithmic to human judgment
Logg, J. M., Minson, J. A., & Moore, D. A. (2019) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.12.005 · Cited by 2,061
The robust beauty of improper linear models in decision making.
Dawes, R. M. (1979) · American Psychologist · doi:10.1037/0003-066x.34.7.571 · Cited by 1,966
Ivanov, D., & Dolgui, A. (2021) · Production Planning & Control · doi:10.1080/09537287.2020.1768450 · Cited by 1,790
Self-citationIvanov, D. (2022) · Annals of Operations Research · doi:10.1007/s10479-020-03640-6 · Cited by 1,343
Self-citationReview of quantitative methods for supply chain resilience analysis
Hosseini, S., Ivanov, D., & Dolgui, A. (2019) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2019.03.001 · Cited by 1,275
Self-citationDietvorst, B. J., Simmons, J. P., & Massey, C. (2018) · Management Science · doi:10.1287/mnsc.2016.2643 · Cited by 1,230
Cited by
AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-03-2024-0262 · Cited by 93
Metadata
- Authors
- Ivanov, D.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2023-09
- Volume
- 263
- Pages
- 108938
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W4379654086
- Cited by
- 270
- References
- 99
- FWCI
- 58.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability. https://app.cochat.ai/papers/10.1016/j.ijpe.2023.108938
- The paper
- Ivanov, D. (2023). Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2023.108938
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
