The DOI matches its Crossref record.
Petri nets: Properties, analysis and applications
Abstract
Starts with a brief review of the history and the application areas considered in the literature. The author then proceeds with introductory modeling examples, behavioral and structural properties, three methods of analysis, subclasses of Petri nets and their analysis. In particular, one section is devoted to marked graphs, the concurrent system model most amenable to analysis. Introductory discussions on stochastic nets with their application to performance modeling, and on high-level nets with their application to logic programming, are provided. Also included are recent results on reachability criteria. Suggestions are provided for further reading on many subject areas of Petri nets.>
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Miller, C. A., & Parasuraman, R. (2007) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872007779598037 · Cited by 434
Colledanchise, M., & Ogren, P. (2017) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2633567 · Cited by 209
Prognosis—A Wearable Health-Monitoring System for People at Risk: Methodology and Modeling
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2040085 · Cited by 136
Human-artificial interaction in the age of agentic AI: a system-theoretical approach
Borghoff, U. M., Bottoni, P., & Pareschi, R. (2025) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2025.1579166 · Cited by 89
Uncertainty of Prebiotic Scenarios: The Case of the Non-Enzymatic Reverse Tricarboxylic Acid Cycle
Zubarev, D. Y., Rappoport, D., & Aspuru-Guzik, A. (2015) · Scientific Reports · doi:10.1038/srep08009 · Cited by 63
Techniques and countermeasures for preventing insider threats
Alsowail, R. A., & Al-Shehari, T. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.938 · Cited by 45
Moore, J. H., Boczko, E. M., & Summar, M. L. (2005) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2004.10.006 · Cited by 32
Autonomous Vehicle Parking Using Hybrid Artificial Intelligent Approach
Lee, C.-K., Lin, C.-L., & Shiu, B.-M. (2009) · Journal of Intelligent and Robotic Systems · doi:10.1007/s10846-009-9319-9 · Cited by 31
Toni, T., Jovanovic, G., Huvet, M., Buck, M., & Stumpf, M. P. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-69 · Cited by 23
Enabling correct design and formal analysis of Ambient Assisted Living systems
Benghazi, K., Hurtado, M. V., Hornos, M. J., Rodríguez, M. L., Rodríguez-Domínguez, C., Pelegrina, A. B., & Rodríguez-Fórtiz, M. J. (2012) · Journal of Systems and Software · doi:10.1016/j.jss.2011.05.022 · Cited by 27
Metadata
- Authors
- Murata, T.
- Venue
- Proceedings of the IEEE
- Published
- 1989-04
- Volume
- 77
- Issue
- 4
- Pages
- 541-580
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W1996109622
- Cited by
- 10,606
- References
- 0
- FWCI
- 62.10
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.