Petri Nets in System Modeling
Petri Nets in System Modeling is a research topic within Computational Theory and Mathematics. Science Explorer counts 18k research works in it since 1951. 18.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the modeling, analysis, and control of Petri nets in various systems, with an emphasis on deadlock prevention, supervisory control, fault diagnosis, and diagnosability analysis in the context of discrete-event systems and flexible manufacturing systems. It also covers topics such as formal methods, stochastic Petri nets, and concurrency modeling.
- Petri Nets
- Deadlock Prevention
- Supervisory Control
- Discrete-Event Systems
- Fault Diagnosis
- Flexible Manufacturing Systems
- Diagnosability Analysis
- Concurrency Modeling
- Formal Methods
- Stochastic Petri Nets
- Research works
- 18k fractional, since 1951
- In the world top 10%
- 3.4k per year above
- Top-10% rate
- 18.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -27% the tick is no change
Which countries lead Petri Nets in System Modeling research?
By volume, China and France publish the most (311 and 105 works in 2022–2025).
By volume, 2022–2025
- 1 China 311 works
- 2 France 105 works
- 3 United States 103 works
- 4 Germany 102 works
- 5 Italy 72 works
- 6 India 49 works
- 7 Brazil 45 works
- 8 United Kingdom 33 works
- 9 Japan 32 works
- 10 Netherlands 29 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Petri Nets in System Modeling research?
By volume in 2022–2025, Xidian University publishes the most Petri Nets in System Modeling research, followed by Macau University of Science and Technology and Centre National de la Recherche Scientifique.
By volume, 2022–2025
- 1 Xidian UniversityChina 25 works
- 2 Macau University of Science and TechnologyMacau 22 works
- 3 Centre National de la Recherche ScientifiqueFrance 14 works
- 4 Tongji UniversityChina 13 works
- 5 RWTH Aachen UniversityGermany 11 works
- 6 Shanghai Jiao Tong UniversityChina 11 works
- 7 Universidade Federal do Rio de JaneiroBrazil 11 works
- 8 Eindhoven University of TechnologyNetherlands 11 works
- 9 University of Zielona GóraPoland 10 works
- 10 University of StavangerNorway 8 works
Who are the leading researchers in Petri Nets in System Modeling?
The most-cited researchers publishing on Petri Nets in System Modeling include Wil M. P. van der Aalst, Witold Pedrycz and Peng Shi.
- 1 Wil M. P. van der Aalst Netherlands 5.5k citations
- 2 Witold Pedrycz Canada 5.4k citations
- 3 Peng Shi Australia 5k citations
- 4 Zidong Wang United Kingdom 4.4k citations
- 5 MengChu Zhou United States 4.4k citations
- 6 Frank L. Lewis United States 3.8k citations
- 7 Brian D. O. Anderson Australia 3.6k citations
- 8 Yang Liu Singapore 3.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Petri Nets in System Modeling research done?
The largest centres of Petri Nets in System Modeling research in 2022–2025 are Shanghai (China), Xi'an (China), Beijing (China) and Macao (China). Among places with at least 20 works in it, it is an unusually large share of all research in Macao.
Largest cities, 2022–2025
Where it is the local speciality
- MacaoCN · 23.3 works23×
Location quotient: how much more of its research is in Petri Nets in System Modeling than the world average.
Where is the best place to study Petri Nets in System Modeling?
Among universities, judged by research, Macau University of Science and Technology, RWTH Aachen University and Xidian University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Macau University of Science and TechnologyMacau | 82.3 | 21.6% | 84.0× | 22 | +491.9% |
| 2 | RWTH Aachen UniversityGermany | 61.3 | 38.1% | 13.0× | 11 | -24.8% |
| 3 | Xidian UniversityChina | 57.7 | 17.0% | 27.5× | 25 | -10.4% |
| 4 | Eindhoven University of TechnologyNetherlands | 39.0 | 13.5% | 24.8× | 11 | -48.7% |
| 5 | Universidade Federal do Rio de JaneiroBrazil | 36.4 | 5.9% | 12.0× | 11 | +81.3% |
| 6 | University of Zielona GóraPoland | 34.9 | 12.9% | 96.7× | 10 | -0.6% |
| 7 | Tongji UniversityChina | 25.5 | 6.1% | 8.1× | 13 | -12.6% |
| 8 | Shanghai Jiao Tong UniversityChina | 11.4 | 10.4% | 4.3× | 11 | +5.1% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Petri Nets in System Modeling research growing?
Output in 2018–2022 was 27% lower than in 2013–2017, peaking in 2002.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.