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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
Cellular Automata and Applications

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. 1 China 644 works
  2. 2 United States 410 works
  3. 3 India 322 works
  4. 4 France 133 works
  5. 5 Germany 112 works
  6. 6 Japan 112 works
  7. 7 United Kingdom 94 works
  8. 8 Russia 83 works
  9. 9 Italy 82 works
  10. 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.

China: 31.2%United States: 19.9%India: 15.7%France: 6.5%6 others listed: 26.7%31%largest
China644 · 31.2%United States410 · 19.9%India322 · 15.7%France133 · 6.5%6 others listed550 · 26.7%

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.

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. 1 Jun Wang China 340k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Albert-Ĺaszló Barabási United States 223k citations
  4. 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.

What are the most cited papers in Cellular Automata and Applications?

The most cited paper in Cellular Automata and Applications is "Array programming with NumPy" (Cr Harris et al., 2020), with 18,804 citations. Next come "Network Flows: Theory, Algorithms, and Applications." (8,169) and "Network information flow" (7,890).

Most cited papers
#PaperReleasedCitations
1 Array programming with NumPy Cr Harris et al. · RePEc: Research Papers in Economics Open access 17 Sep 2020 18,804
2 Network Flows: Theory, Algorithms, and Applications. David Keith Smith, Ravindra K. Ahuja, Thomas L. Magnanti et al. · Journal of the Operational Research Society Nov 1994 8,169
3 Network information flow Rudolf Ahlswede, Ning Cai, Shuo Li et al. · IEEE Transactions on Information Theory Jul 2000 7,890
4 Computing Machinery and Intelligence (1950) Alan Mathison Turing Book chapter 9 Sep 2004 6,187
5 Disordered electronic systems Patrick A. Lee, T. V. Ramakrishnan · Reviews of Modern Physics Apr 1985 6,130
All 100 most cited papers, with filters and sorting

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

  1. 1 BeijingChina 93 works
  2. 2 SingaporeSingapore 41 works
  3. 3 TokyoJapan 39 works
  4. 4 ParisFrance 38 works
  5. 5 NanjingChina 38 works
  6. 6 ChengduChina 37 works
  7. 7 SeoulSouth Korea 35 works
  8. 8 GuangzhouChina 34 works
  9. 9 MoscowRussia 33 works
  10. 10 WuhanChina 32 works

Where it is the local speciality

  1. SingaporeSG · 40.9 works4.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Cellular Automata and Applications than the world average.

See Cellular Automata and Applications on the map

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.

0%20%40%mean 19.6%fractional works in this field (log) →share of work in the world top 10% →Harbin Institute of …Guangdong University…University of Electr…National University …
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1National University of SingaporeSingapore 61.11.7%9.3×29 +299.5%
2Guangdong University of TechnologyChina 58.837.3%5.8×8 +138.3%
3Harbin Institute of TechnologyChina 55.045.6%2.1×9 +50.8%
4University of Electronic Science and Technology of ChinaChina 50.529.8%3.9×11 +86.5%
5Hefei University of TechnologyChina 48.525.7%6.5×9 +136.7%
6Technion – Israel Institute of TechnologyIsrael 47.57.2%15.3×15 +25.5%
7Technical University of MunichGermany 44.18.7%5.9×14 +46.9%
8Sun Yat-sen UniversityChina 42.128.0%1.7×9 +25.2%
9Massachusetts Institute of TechnologyUnited States 38.911.9%5.0×9 +8.6%
10University of TurkuFinland 38.70.1%15.7×13 +82.3%

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 country

Is 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.

still counting19801990200020102020
grewheldshrank

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.

still counting0.025%0.050%0.075%Cellular Automata and Applications0.014% in 202519801990200020102020

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.

still counting5%10%15%Cellular Automata and Applications10.2% in 2025200020102020

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.

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