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. 10.0% 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%
- 1.8k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -21% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Which countries lead Petri Nets in System Modeling research?
By volume, China and Germany publish the most (385 and 115 works in 2022-now).
By volume, 2022-now
- 1
China 385 works
- 2
Germany 115 works
- 3
France 115 works
- 4
United States 112 works
- 5
Italy 80 works
- 6
India 54 works
- 7
Brazil 53 works
- 8
United Kingdom 38 works
- 9
Japan 36 works
- 10
Netherlands 33 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-now, Centre National de la Recherche Scientifique publishes the most Petri Nets in System Modeling research, followed by Xidian University and Macau University of Science and Technology.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 38 works
- 2
Xidian University
China 29 works
- 3
Macau University of Science and Technology
China 24 works
- 4
Tongji University
China 14 works
- 5
RWTH Aachen University
Germany 13 works
- 6
Eindhoven University of Technology
Netherlands 12 works
- 7
Universidade Federal do Rio de Janeiro
Brazil 12 works
- 8
Shanghai Jiao Tong University
China 12 works
- 9
University of Zielona Góra
Poland 10 works
- 10
Université Le Havre Normandie
France 9 works
Who are the leading researchers in Petri Nets in System Modeling?
The most-cited researchers publishing on Petri Nets in System Modeling include Philip S. Yu.
- 1
Philip S. Yu
United States 141k 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-now are Xi'an (China), Shanghai (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-now
Where it is the local speciality
- MacaoCN · 25.3 works22×
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, Xidian University and Universidade Federal do Rio de Janeiro 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 first ten of the table below, at the default weights. 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 Technology |
96.0 | 25.2% | 92.3× | 24 | +75.3% |
| 2 | Xidian University |
75.7 | 21.3% | 31.9× | 29 | +24.0% |
| 3 | Universidade Federal do Rio de Janeiro |
55.8 | 16.4% | 12.8× | 12 | +16.0% |
| 4 | RWTH Aachen University |
47.2 | 17.1% | 13.8× | 13 | +16.5% |
| 5 | Université Le Havre Normandie |
36.2 | 22.8% | 181.7× | 9 | -2.8% |
| 6 | Tongji University |
35.8 | 6.9% | 7.2× | 14 | +11.4% |
| 7 | Eindhoven University of Technology |
34.4 | 5.9% | 27.9× | 12 | -45.1% |
| 8 | Shanghai Jiao Tong University |
27.5 | 16.5% | 3.4× | 12 | -3.5% |
| 9 | University of Zielona Góra |
25.5 | 6.9% | 103.8× | 10 | +40.2% |
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Petri Nets in System Modeling, country by countryIs Petri Nets in System Modeling research growing?
Output in 2022-2025 was 21% lower than in 2018-2021, 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.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Petri Nets in System Modeling as a percentage of every work published that year, 0.0066% in 2024.
Fractional works of Petri Nets in System Modeling over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
Ask a question or share a note about Petri Nets in System Modeling. Posts are plain text and can be reported.