Cellular Automata and Applications
Cellular Automata and Applications is a research topic within Computational Theory and Mathematics. Science Explorer counts 24k research works in it since 1950. 13.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the theory, computation, dynamics, and applications of cellular automata in various fields such as cryptography, image processing, simulation of complex systems, and emergence. It delves into the universality, entropy, and computational properties of cellular automata.
- Cellular Automata
- Computation
- Dynamics
- Simulation
- Complex Systems
- Emergence
- Entropy
- Cryptosystem
- Image Processing
- Universality
- Research works
- 24k fractional, since 1950
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 13.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -12% the tick is no change
Which countries lead Cellular Automata and Applications research?
By volume, China and the United States publish the most (590 and 363 works in 2022–2025).
By volume, 2022–2025
- 1 China 590 works
- 2 United States 363 works
- 3 India 304 works
- 4 France 121 works
- 5 Japan 104 works
- 6 Germany 104 works
- 7 United Kingdom 86 works
- 8 Italy 79 works
- 9 Russia 77 works
- 10 Canada 62 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 Cellular Automata and Applications research?
By volume in 2022–2025, National University of Singapore publishes the most Cellular Automata and Applications research, followed by Centre National de la Recherche Scientifique and Technion – Israel Institute of Technology.
By volume, 2022–2025
- 1 National University of SingaporeSingapore 28 works
- 2 Centre National de la Recherche ScientifiqueFrance 18 works
- 3 Technion – Israel Institute of TechnologyIsrael 14 works
- 4 Technical University of MunichGermany 13 works
- 5 University of TurkuFinland 12 works
- 6 Huazhong University of Science and TechnologyChina 11 works
- 7 University of Electronic Science and Technology of ChinaChina 11 works
- 8 Indian Institute of Engineering Science and Technology, ShibpurIndia 10 works
- 9 National Institute of Technology TiruchirappalliIndia 9 works
- 10 Hefei University of TechnologyChina 9 works
Who are the leading researchers in Cellular Automata and Applications?
The most-cited researchers publishing on Cellular Automata and Applications include H. Vincent Poor and Guanrong Chen.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Guanrong Chen Hong Kong 5.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Cellular Automata and Applications research done?
The largest centres of Cellular Automata and Applications research in 2022–2025 are Beijing (China), Singapore (Singapore), Tokyo (Japan) and Chengdu (China). Among places with at least 20 works in it, it is an unusually large share of all research in Singapore.
Largest cities, 2022–2025
Where it is the local speciality
- SingaporeSG · 38.8 works4.3×
Location quotient: how much more of its research is in Cellular Automata and Applications than the world average.
Where is the best place to study Cellular Automata and Applications?
Among universities, judged by research, National University of Singapore, Indian Institute of Engineering Science and Technology, Shibpur and Technion – Israel Institute of Technology 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 | National University of SingaporeSingapore | 68.5 | 1.0% | 10.7× | 28 | +91.3% |
| 2 | Indian Institute of Engineering Science and Technology, ShibpurIndia | 49.4 | 11.7% | 35.2× | 10 | +96.0% |
| 3 | Technion – Israel Institute of TechnologyIsrael | 48.1 | 7.4% | 15.5× | 14 | +21.4% |
| 4 | Technical University of MunichGermany | 48.0 | 10.7% | 6.2× | 13 | +104.6% |
| 5 | National Institute of Technology TiruchirappalliIndia | 48.0 | 23.2% | 15.8× | 9 | — |
| 6 | University of TurkuFinland | 40.9 | 7.2% | 15.7× | 12 | -28.3% |
| 7 | Hefei University of TechnologyChina | 35.5 | 27.7% | 5.9× | 9 | +7.9% |
| 8 | Harbin Institute of TechnologyChina | 35.3 | 48.0% | 1.9× | 8 | +3.1% |
| 9 | University of Electronic Science and Technology of ChinaChina | 27.0 | 24.7% | 3.6× | 11 | -24.2% |
| 10 | Huazhong University of Science and TechnologyChina | 19.3 | 9.4% | 2.6× | 11 | +22.6% |
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 Cellular Automata and Applications research growing?
Output in 2018–2022 was 12% 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.