Constraint Satisfaction and Optimization
Constraint Satisfaction and Optimization is a research topic within Computer Networks and Communications. Science Explorer counts 16k 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 focuses on distributed constraint optimization problems and algorithms, including topics such as random satisfiability, local search, spatial reasoning, algorithm selection, phase transitions, soft constraints, temporal reasoning, and graph coloring.
- Constraint Optimization
- Distributed Algorithms
- Random Satisfiability
- Local Search
- Spatial Reasoning
- Algorithm Selection
- Phase Transitions
- Soft Constraints
- Temporal Reasoning
- Graph Coloring
- Research works
- 16k fractional, since 1950
- In the world top 10%
- 1.7k per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +5% the tick is no change
- Largest producer
China
26% of the 10 largest, 2022-now
Which countries lead Constraint Satisfaction and Optimization research?
By volume, China and the United States publish the most (386 and 371 works in 2022-now).
By volume, 2022-now
- 1
China 386 works
- 2
United States 371 works
- 3
Germany 152 works
- 4
France 146 works
- 5
United Kingdom 91 works
- 6
India 88 works
- 7
Canada 83 works
- 8
Italy 72 works
- 9
Japan 62 works
- 10
Spain 46 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 Constraint Satisfaction and Optimization research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Constraint Satisfaction and Optimization research, followed by Chinese Academy of Sciences and Carnegie Mellon University.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 53 works
- 2
Chinese Academy of Sciences
China 20 works
- 3
Carnegie Mellon University
United States 19 works
- 4
TU Wien
Austria 18 works
- 5
McGill University
Canada 16 works
- 6
Ben-Gurion University of the Negev
Israel 10 works
- 7
University of Oxford
United Kingdom 10 works
- 8
Helmholtz Association of German Research Centres
Germany 9 works
- 9
University of Toronto
Canada 9 works
- 10
RWTH Aachen University
Germany 9 works
Who are the leading researchers in Constraint Satisfaction and Optimization?
The most-cited researchers publishing on Constraint Satisfaction and Optimization include Yoshua Bengio, Geoffrey E. Hinton and Amos Tversky.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Geoffrey E. Hinton
Canada 454k citations
- 3
Amos Tversky
United States 327k citations
- 4
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 Constraint Satisfaction and Optimization research done?
The largest centres of Constraint Satisfaction and Optimization research in 2022-now are Beijing (China), Paris (France), Shanghai (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Vienna.
Largest cities, 2022-now
Where it is the local speciality
- ViennaAT · 22.9 works5.1×
Location quotient: how much more of its research is in Constraint Satisfaction and Optimization than the world average.
Where is the best place to study Constraint Satisfaction and Optimization?
Among universities, judged by research, Carnegie Mellon University, TU Wien 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 | Carnegie Mellon University |
69.9 | 11.1% | 24.8× | 18 | -44.4% |
| 2 | TU Wien |
64.4 | 5.6% | 32.5× | 18 | +1.5% |
| 3 | University of Oxford |
64.2 | 17.0% | 4.0× | 10 | -2.0% |
| 4 | University of Toronto |
47.5 | 11.7% | 2.5× | 9 | -27.0% |
| 5 | McGill University |
44.6 | 2.7% | 8.9× | 16 | - |
| 6 | RWTH Aachen University |
43.2 | 13.5% | 6.3× | 9 | +230.5% |
| 7 | Eindhoven University of Technology |
41.0 | 11.3% | 12.8× | 8 | +102.5% |
| 8 | Ben-Gurion University of the Negev |
34.5 | 4.4% | 16.0× | 10 | -39.6% |
| 9 | KU Leuven |
32.4 | 5.8% | 4.9× | 8 | +3.1% |
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 Constraint Satisfaction and Optimization, country by countryIs Constraint Satisfaction and Optimization research growing?
Output in 2022-2025 was 5% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Constraint Satisfaction and Optimization.
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 Constraint Satisfaction and Optimization as a percentage of every work published that year, 0.0061% in 2024.
Fractional works of Constraint Satisfaction and Optimization 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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