AI-based Problem Solving and Planning
AI-based Problem Solving and Planning is a research topic within Artificial Intelligence. Science Explorer counts 22k research works in it since 1955. 19.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on artificial intelligence planning and reasoning, covering topics such as planning systems, heuristic search, case-based reasoning, temporal planning, knowledge-based systems, robot control, model-based programming, probabilistic plan recognition, cognitive architecture, and autonomous systems.
- Planning Systems
- Heuristic Search
- Case-Based Reasoning
- Temporal Planning
- Knowledge-Based Systems
- Robot Control
- Model-Based Programming
- Probabilistic Plan Recognition
- Cognitive Architecture
- Autonomous Systems
- Research works
- 22k fractional, since 1955
- In the world top 10%
- 4.3k per year above
- Top-10% rate
- 19.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -19% the tick is no change
Which countries lead AI-based Problem Solving and Planning research?
By volume, the United States and China publish the most (488 and 337 works in 2022–2025).
By volume, 2022–2025
- 1 United States 488 works
- 2 China 337 works
- 3 Germany 176 works
- 4 United Kingdom 114 works
- 5 India 110 works
- 6 Italy 102 works
- 7 France 96 works
- 8 Spain 62 works
- 9 Canada 48 works
- 10 Japan 45 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 AI-based Problem Solving and Planning research?
By volume in 2022–2025, Carnegie Mellon University publishes the most AI-based Problem Solving and Planning research, followed by Centre National de la Recherche Scientifique and University of Brescia.
By volume, 2022–2025
- 1 Carnegie Mellon UniversityUnited States 16 works
- 2 Centre National de la Recherche ScientifiqueFrance 13 works
- 3 University of BresciaItaly 12 works
- 4 Georgia Institute of TechnologyUnited States 11 works
- 5 Massachusetts Institute of TechnologyUnited States 10 works
- 6 Arizona State UniversityUnited States 10 works
- 7 Australian National UniversityAustralia 10 works
- 8 Beijing Institute of TechnologyChina 9 works
- 9 Linköping UniversitySweden 9 works
- 10 Czech Technical University in PragueCzechia 9 works
Who are the leading researchers in AI-based Problem Solving and Planning?
The most-cited researchers publishing on AI-based Problem Solving and Planning include Sebastian Thrun, Wolfram Burgard and Bùi Quang Minh.
- 1 Sebastian Thrun United States 10k citations
- 2 Wolfram Burgard Germany 6.3k citations
- 3 Bùi Quang Minh Australia 4.7k citations
- 4 John Seely Brown United States 4.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is AI-based Problem Solving and Planning research done?
The largest centres of AI-based Problem Solving and Planning research in 2022–2025 are Beijing (China), Shanghai (China), Paris (France) and London (United Kingdom).
Where is the best place to study AI-based Problem Solving and Planning?
Among universities, judged by research, Carnegie Mellon University, University of Brescia and Georgia 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Carnegie Mellon UniversityUnited States | 86.7 | 21.2% | 19.0× | 16 | +50.9% |
| 2 | University of BresciaItaly | 55.5 | 7.3% | 33.9× | 12 | +6.3% |
| 3 | Georgia Institute of TechnologyUnited States | 55.4 | 15.8% | 8.1× | 11 | +13.4% |
| 4 | Arizona State UniversityUnited States | 50.4 | 11.5% | 7.2× | 10 | +46.7% |
| 5 | Czech Technical University in PragueCzechia | 47.4 | 1.9% | 17.2× | 9 | +69.9% |
| 6 | Massachusetts Institute of TechnologyUnited States | 46.5 | 10.8% | 7.9× | 10 | -11.6% |
| 7 | Linköping UniversitySweden | 44.5 | 7.0% | 14.9× | 9 | -14.4% |
| 8 | Australian National UniversityAustralia | 38.7 | 3.4% | 9.3× | 10 | -24.8% |
| 9 | Beijing Institute of TechnologyChina | 36.2 | 15.0% | 3.6× | 9 | +25.9% |
| 10 | University of Southern CaliforniaUnited States | 32.4 | 13.0% | 5.4× | 8 | -10.2% |
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 AI-based Problem Solving and Planning research growing?
Output in 2018–2022 was 19% lower than in 2013–2017, peaking in 2002.
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.