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. 10.1% 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%
- 2.4k per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +12% the tick is no change
- Largest producer
China
31% of the 10 largest, 2022-now
Which countries lead Cellular Automata and Applications research?
By volume, China and the United States publish the most (644 and 410 works in 2022-now).
By volume, 2022-now
- 1
China 644 works
- 2
United States 410 works
- 3
India 322 works
- 4
France 133 works
- 5
Germany 112 works
- 6
Japan 112 works
- 7
United Kingdom 94 works
- 8
Russia 83 works
- 9
Italy 82 works
- 10
Canada 66 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-now, Centre National de la Recherche Scientifique publishes the most Cellular Automata and Applications research, followed by National University of Singapore and Chinese Academy of Sciences.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 55 works
- 2
National University of Singapore
Singapore 29 works
- 3
Chinese Academy of Sciences
China 20 works
- 4
Russian Academy of Sciences
Russia 18 works
- 5
Technion – Israel Institute of Technology
Israel 15 works
- 6
Technical University of Munich
Germany 13 works
- 7
University of Turku
Finland 13 works
- 8
Indian Institute of Engineering Science and Technology, Shibpur
India 12 works
- 9
Huazhong University of Science and Technology
China 12 works
- 10
University of Electronic Science and Technology of China
China 11 works
Who are the leading researchers in Cellular Automata and Applications?
The most-cited researchers publishing on Cellular Automata and Applications include Jun Wang, Kai You Wang and Albert-Ĺaszló Barabási.
- 1
Jun Wang
China 340k citations
- 2
Kai You Wang
China 224k citations
- 3
Albert-Ĺaszló Barabási
United States 223k citations
- 4
Harry Eugene Stanley
United States 198k 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-now are Beijing (China), Singapore (Singapore), Tokyo (Japan) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Singapore.
Largest cities, 2022-now
Where it is the local speciality
- SingaporeSG · 40.9 works4.2×
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, Guangdong University of Technology and Harbin 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
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 Cellular Automata and Applications, country by countryIs Cellular Automata and Applications research growing?
Output in 2022-2025 was 12% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Cellular Automata and Applications.
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 Cellular Automata and Applications as a percentage of every work published that year, 0.015% in 2024.
Fractional works of Cellular Automata and Applications 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
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