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Topic · Economics and Econometrics

Game Theory and Voting Systems

Game Theory and Voting Systems is a research topic within Economics and Econometrics. Science Explorer counts 16k research works in it since 1950. 34.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on mechanism design, matching theory, and coalition formation in economics. It explores topics such as school choice, judgment aggregation, stability in matching markets, rank aggregation methods, and the application of game theory to economic design. The papers also delve into voting procedures, the Shapley value, and the intricacies of coalition formation.

  • Mechanism Design
  • Matching Theory
  • Coalition Formation
  • School Choice
  • Judgment Aggregation
  • Stability
  • Rank Aggregation
  • Game Theory
  • Voting Procedures
  • Shapley Value
Research works
16k
fractional, since 1950
In the world top 10%
5.6k
per year above
Top-10% rate
34.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
0%
the tick is no change

Which countries lead Game Theory and Voting Systems research?

By volume, the United States and China publish the most (478 and 200 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 478 works
  2. 2 China 200 works
  3. 3 Germany 131 works
  4. 4 France 120 works
  5. 5 Japan 117 works
  6. 6 United Kingdom 116 works
  7. 7 India 84 works
  8. 8 Spain 84 works
  9. 9 Canada 70 works
  10. 10 Italy 69 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.

United States: 32.6%China: 13.6%Germany: 8.9%France: 8.1%6 others listed: 36.8%33%largest
United States478 · 32.6%China200 · 13.6%Germany131 · 8.9%France120 · 8.1%6 others listed540 · 36.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Game Theory and Voting Systems research?

By volume in 2022–2025, University of Toronto publishes the most Game Theory and Voting Systems research, followed by The University of Tokyo and Centre National de la Recherche Scientifique.

By volume, 2022–2025

  1. 1 University of TorontoCanada 19 works
  2. 2 The University of TokyoJapan 17 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 17 works
  4. 4 University of OxfordUnited Kingdom 16 works
  5. 5 Stanford UniversityUnited States 15 works
  6. 6 Technische Universität BerlinGermany 15 works
  7. 7 National University of SingaporeSingapore 13 works
  8. 8 University of Illinois Urbana-ChampaignUnited States 13 works
  9. 9 New York UniversityUnited States 12 works
  10. 10 Kyushu UniversityJapan 12 works

Who are the leading researchers in Game Theory and Voting Systems?

The most-cited researchers publishing on Game Theory and Voting Systems include Ronald L. Rivest and A. Charnes.

  1. 1 Ronald L. Rivest United States 7.3k citations
  2. 2 A. Charnes United States 4.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Game Theory and Voting Systems research done?

The largest centres of Game Theory and Voting Systems research in 2022–2025 are Tokyo (Japan), Paris (France), Beijing (China) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Tokyo Japan 64 works
  2. 2 Paris France 54 works
  3. 3 Beijing China 41 works
  4. 4 Shanghai China 37 works
  5. 5 New York United States 34 works
  6. 6 Moscow Russia 28 works
  7. 7 London United Kingdom 26 works
  8. 8 Budapest Hungary 24 works
  9. 9 Toronto Canada 21 works
  10. 10 Berlin Germany 21 works
See Game Theory and Voting Systems on the map

Where is the best place to study Game Theory and Voting Systems?

Among universities, judged by research, Technische Universität Berlin, Shanghai University of Finance and Economics and University of Essex 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 32.86%fractional works in this node (log) →share in the world top 10% →Technische Universität Berlin: 15, 33.0%Shanghai University of Finance and Economics: 9, 35.8%University of Essex: 9, 45.3%St Petersburg University: 11, 22.8%National University of Singapore: 13, 35.5%Heinrich Heine University Düsseldorf: 10, 31.3%Princeton University: 10, 34.1%Kyushu University: 12, 21.2%Stanford University: 15, 38.9%The University of Tokyo: 17, 30.7%University of EssexShanghai University …Technische Universit…St Petersburg Univer…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Technische Universität BerlinGermany 67.433.0%21.8×15 +50.5%
2 Shanghai University of Finance and EconomicsChina 65.935.8%46.0×9 +285.5%
3 University of EssexUnited Kingdom 61.045.3%26.9×9 -31.1%
4 St Petersburg UniversityRussia 59.622.8%12.0×11 +271.3%
5 National University of SingaporeSingapore 57.035.5%6.9×13 +17.8%
6 Heinrich Heine University DüsseldorfGermany 55.731.3%17.8×10 +40.6%
7 Princeton UniversityUnited States 53.534.1%12.0×10 -33.9%
8 Kyushu UniversityJapan 52.421.2%11.3×12 +44.4%
9 Stanford UniversityUnited States 51.638.9%6.3×15 +5.7%
10 The University of TokyoJapan 50.930.7%7.1×17 -1.0%

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 Game Theory and Voting Systems research growing?

Output in 2018–2022 was 0% lower than in 2013–2017, peaking in 2020. The fastest-growing topics are Game Theory and Voting Systems.

19801990200020102020
grewheldshrank

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.