Cognitive Science and Mapping
Cognitive Science and Mapping is a research topic within Artificial Intelligence. Science Explorer counts 17k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of Fuzzy Cognitive Maps (FCMs) in modeling complex systems, decision support, and knowledge representation. It explores various learning algorithms for FCMs, their use in scenario development for social-ecological systems, prediction in healthcare decision making, and their role in multi-criteria analysis.
- Fuzzy Cognitive Maps
- Modeling
- Decision Support
- Knowledge Representation
- Learning Algorithms
- Scenario Development
- Social-Ecological Systems
- Prediction
- Healthcare Decision Making
- Multi-Criteria Analysis
- Research works
- 17k fractional, since 1950
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 10.3% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +9% the tick is no change
- Largest producer
China
27% of the 10 largest, 2022-now
Which countries lead Cognitive Science and Mapping research?
By volume, China and the United States publish the most (591 and 583 works in 2022-now).
By volume, 2022-now
- 1
China 591 works
- 2
United States 583 works
- 3
Russia 200 works
- 4
India 180 works
- 5
United Kingdom 151 works
- 6
Germany 146 works
- 7
Italy 100 works
- 8
Canada 76 works
- 9
France 74 works
- 10
Spain 70 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 Cognitive Science and Mapping research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Cognitive Science and Mapping research, followed by Centre National de la Recherche Scientifique and Beijing Normal University.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 41 works
- 2
Centre National de la Recherche Scientifique
France 20 works
- 3
Beijing Normal University
China 19 works
- 4
Peking University
China 13 works
- 5
Islamic Azad University, Tehran
Iran 12 works
- 6
Sichuan University
China 11 works
- 7
Chinese Academy of Sciences
China 11 works
- 8
University of Oxford
United Kingdom 11 works
- 9
Vrije Universiteit Amsterdam
Netherlands 11 works
- 10
Max Planck Society
Germany 11 works
Who are the leading researchers in Cognitive Science and Mapping?
The most-cited researchers publishing on Cognitive Science and Mapping include Daniel J. Kahneman, Albert Bandura and Amos Tversky.
- 1
Daniel J. Kahneman
United States 395k citations
- 2
Albert Bandura
United States 370k citations
- 3
Amos Tversky
United States 327k citations
- 4
Karl John Friston
United Kingdom 310k citations
- 5
Icek Ajzen
United States 267k citations
- 6
Peter M. Bentler
United States 233k citations
- 7
Li Fei-Fei
United States 225k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Cognitive Science and Mapping research done?
The largest centres of Cognitive Science and Mapping research in 2022-now are Beijing (China), Moscow (Russia), Nanjing (China) and Shanghai (China).
Where is the best place to study Cognitive Science and Mapping?
Among universities, judged by research, Beijing Normal University, Peking University and University of Oxford 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 | Beijing Normal University |
71.2 | 14.4% | 8.1× | 19 | +399.1% |
| 2 | Peking University |
57.0 | 24.2% | 2.1× | 13 | +369.6% |
| 3 | University of Oxford |
55.3 | 17.0% | 2.7× | 11 | +54.7% |
| 4 | Sichuan University |
54.1 | 28.8% | 1.7× | 11 | -33.6% |
| 5 | University of Thessaly |
48.8 | 10.2% | 14.1× | 9 | +70.3% |
| 6 | Vrije Universiteit Amsterdam |
44.9 | 9.6% | 9.3× | 11 | -0.5% |
| 7 | University College London |
42.9 | 16.9% | 1.9× | 9 | +1.2% |
| 8 | University of Alberta |
32.7 | 15.2% | 3.3× | 8 | -51.0% |
| 9 | Tsinghua University |
28.8 | 14.3% | 1.3× | 8 | +67.8% |
| 10 | Zhejiang University |
28.7 | 8.6% | 1.3× | 10 | +327.4% |
| 11 | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” |
23.2 | 0.0% | 13.2× | 9 | +97.4% |
| 12 | Lomonosov Moscow State University |
22.8 | 0.0% | 3.3× | 8 | +105.5% |
| 13 | University of North Carolina at Chapel Hill |
22.2 | 0.0% | 1.9× | 10 | +26.0% |
| 14 | Islamic Azad University, Tehran |
20.9 | 1.8% | 2.4× | 12 | -25.0% |
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 Cognitive Science and Mapping, country by countryIs Cognitive Science and Mapping research growing?
Output in 2022-2025 was 9% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Cognitive Science and Mapping.
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 Cognitive Science and Mapping as a percentage of every work published that year, 0.015% in 2024.
Fractional works of Cognitive Science and Mapping 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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