The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Digital Twin—The Simulation Aspect
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
“However, NASA had previously employed the same concept during the Apollo program as a”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [18]
In the citing paper
“It enables the evolution of physical systems into more complex digital environments by integrating software functions, such as drive and sensor connectivity within cyber-physical systems (CPS) [121].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [121]
Citations
Cites
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474
Self-citationFitzwater, L. M., Torng, Y. T., & Halbert, K. (2011) · doi:10.21236/ada586666 · Cited by 1
Cited by
Sorted by citations
Items 1,001–1,001 of 1,001
Operationalizing digital twins in agriculture with machine learning
Pylianidis, C. (2023) · doi:10.18174/591164
Metadata
- Authors
- Boschert, S., & Rosen, R.
- Affiliations
- Siemens (Germany) (DE)
- Corresponding author
- Boschert, Stefan
- ORCID
- Boschert, Stefan
- Venue
- Mechatronic Futures
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 59-74
- OpenAlex
- W2482127302
- Cited by
- 1,158
- References
- 2
- Citations by year
- 2026: 78 · 2025: 165 · 2024: 165 · 2023: 175 · 2022: 162 · 2021: 143 · 2020: 128 · 2019: 77 · 2018: 48 · 2017: 13 · 2016: 4
- FWCI
- 107.09
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Mathematics › Modeling and Simulation › Modeling and Simulation Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Keywords
- digital twin, simulation, modeling and simulation, mechatronic systems, system development, design validation, failure prediction, virtual-physical integration, product life cycle
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
