Science Explorer Interactive view Map

Advanced Graph Theory Research

Advanced Graph Theory Research is a research topic within Computational Theory and Mathematics. Science Explorer counts 33k research works in it since 1950. 13.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers represents advances in graph theory and algorithms, focusing on topics such as parameterized complexity, fixed-parameter algorithms, constraint satisfaction problems, treewidth, kernelization, complexity classification, approximation algorithms, and homomorphism. The papers cover a wide range of algorithmic applications and theoretical developments in the field of graph theory.

  • Graph Theory
  • Parameterized Complexity
  • Algorithmic Applications
  • Fixed-Parameter Algorithms
  • Constraint Satisfaction Problems
  • Treewidth
  • Kernelization
  • Complexity Classification
  • Approximation Algorithms
  • Homomorphism
Research works
33k
fractional, since 1950
In the world top 10%
4.5k
per year above
Top-10% rate
13.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+1%
the tick is no change

Which countries lead Advanced Graph Theory Research research?

By volume, China and the United States publish the most (861 and 661 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 861 works
  2. 2 United States 661 works
  3. 3 India 505 works
  4. 4 Germany 234 works
  5. 5 France 203 works
  6. 6 United Kingdom 168 works
  7. 7 Canada 140 works
  8. 8 Japan 139 works
  9. 9 Brazil 120 works
  10. 10 Israel 101 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: 27.5%United States: 21.1%India: 16.1%Germany: 7.5%6 others listed: 27.8%27%largest
China861 · 27.5%United States661 · 21.1%India505 · 16.1%Germany234 · 7.5%6 others listed871 · 27.8%

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

Which institutions lead Advanced Graph Theory Research research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Advanced Graph Theory Research research, followed by Mindanao State University – Iligan Institute of Technology and ETH Zurich.

Who are the leading researchers in Advanced Graph Theory Research?

The most-cited researchers publishing on Advanced Graph Theory Research include Ronald L. Rivest, Robert E. Tarjan and Jon Kleinberg.

  1. 1 Ronald L. Rivest United States 7.3k citations
  2. 2 Robert E. Tarjan United States 3.9k citations
  3. 3 Jon Kleinberg United States 3.1k citations

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

Where is Advanced Graph Theory Research research done?

The largest centres of Advanced Graph Theory Research research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Iligan City, Xining and Jinhua.

Largest cities, 2022–2025

  1. 1 Beijing China 91 works
  2. 2 Chennai India 78 works
  3. 3 Shanghai China 70 works
  4. 4 Paris France 70 works
  5. 5 Budapest Hungary 55 works
  6. 6 Tokyo Japan 50 works
  7. 7 Prague Czechia 47 works
  8. 8 Bengaluru India 43 works
  9. 9 Tianjin China 40 works
  10. 10 Iligan City Philippines 39 works

Where it is the local speciality

  1. Iligan CityPH · 39.4 works203×
  2. XiningCN · 28.7 works22×
  3. JinhuaCN · 34.2 works21×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Graph Theory Research than the world average.

See Advanced Graph Theory Research on the map

Where is the best place to study Advanced Graph Theory Research?

Among universities, judged by research, ETH Zurich, Mindanao State University – Iligan Institute of Technology and University of Warwick 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%10%20%mean 12.38%fractional works in this node (log) →share in the world top 10% →ETH Zurich: 36, 11.8%Mindanao State University – Iligan Institute of Technology: 39, 3.4%University of Warwick: 21, 18.3%Christ University: 22, 5.2%TU Wien: 15, 14.5%Central China Normal University: 14, 20.0%Carnegie Mellon University: 19, 16.1%Moscow Institute of Physics and Technology: 9, 11.9%Charles University: 33, 5.4%University of Oxford: 28, 17.2%University of WarwickETH ZurichChrist UniversityMindanao State Unive…
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 ETH ZurichSwitzerland 66.111.8%12.2×36 +3.8%
2 Mindanao State University – Iligan Institute of TechnologyPhilippines 65.93.4%213.4×39 +345.8%
3 University of WarwickUnited Kingdom 63.218.3%10.6×21 +7.3%
4 Christ UniversityIndia 59.05.2%14.5×22 +362.1%
5 TU WienAustria 58.914.5%11.2×15 +49.9%
6 Central China Normal UniversityChina 58.920.0%12.8×14 +50.6%
7 Carnegie Mellon UniversityUnited States 56.816.1%10.6×19 -7.4%
8 Moscow Institute of Physics and TechnologyRussia 56.311.9%16.0×9 +367.6%
9 Charles UniversityCzechia 55.25.4%16.8×33 -17.5%
10 University of OxfordUnited Kingdom 54.517.2%5.1×28 +29.5%

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 Advanced Graph Theory Research research growing?

Output in 2018–2022 was 1% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Advanced Graph Theory Research.

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.