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Topic · Artificial Intelligence

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. 9.8% 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%
2.2k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+30%
the tick is no change
Largest producer
United States
32% of the 10 largest, 2022-now
AI-based Problem Solving and Planning

Which countries lead AI-based Problem Solving and Planning research?

By volume, the United States and China publish the most (687 and 513 works in 2022-now).

By volume, 2022-now

  1. 1 United States 687 works
  2. 2 China 513 works
  3. 3 Germany 214 works
  4. 4 India 174 works
  5. 5 United Kingdom 143 works
  6. 6 Italy 123 works
  7. 7 France 112 works
  8. 8 Spain 77 works
  9. 9 Canada 63 works
  10. 10 Japan 63 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: 31.7%China: 23.7%Germany: 9.9%India: 8.0%6 others listed: 26.8%32%largest
United States687 · 31.7%China513 · 23.7%Germany214 · 9.9%India174 · 8.0%6 others listed581 · 26.8%

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-now, Centre National de la Recherche Scientifique publishes the most AI-based Problem Solving and Planning research, followed by Carnegie Mellon University and United States Department of Defense.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 41 works
  2. 2 Carnegie Mellon UniversityUnited States 21 works
  3. 3 United States Department of DefenseUnited States 17 works
  4. 4 Chinese Academy of SciencesChina 16 works
  5. 5 Shanghai Jiao Tong UniversityChina 14 works
  6. 6 Helmholtz Association of German Research CentresGermany 13 works
  7. 7 Massachusetts Institute of TechnologyUnited States 13 works
  8. 8 University of BresciaItaly 13 works
  9. 9 Australian National UniversityAustralia 12 works
  10. 10 Georgia Institute of TechnologyUnited States 12 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 Yoshua Bengio, Karl John Friston and Martin McKee.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Karl John Friston United Kingdom 310k citations
  3. 3 Martin McKee United Kingdom 270k citations
  4. 4 Yann LeCun United States 256k citations
  5. 5 Vladimir N. Vapnik United States 227k citations
  6. 6 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.

What are the most cited papers in AI-based Problem Solving and Planning?

The most cited paper in AI-based Problem Solving and Planning is "Induction of decision trees" (J. R. Quinlan, 1986), with 12,440 citations. Next come "Probabilistic robotics" (8,102) and "Maintaining knowledge about temporal intervals" (7,599).

Most cited papers
#PaperReleasedCitations
1 Induction of decision trees J. R. Quinlan · Machine Learning Open access Mar 1986 12,440
2 Probabilistic robotics Sebastian Thrun · Communications of the ACM Mar 2002 8,102
3 Maintaining knowledge about temporal intervals James F. Allen · Communications of the ACM Open access Nov 1983 7,599
4 Intelligent agents: theory and practice Michael Wooldridge, Nicholas R. Jennings · The Knowledge Engineering Review Open access Jun 1995 6,753
5 Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches Agnar Aamodt, Enric Plaza · AI Communications 1994 5,599
All 100 most cited papers, with filters and sorting

Where is AI-based Problem Solving and Planning research done?

The largest centres of AI-based Problem Solving and Planning research in 2022-now are Beijing (China), Shanghai (China), London (United Kingdom) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Toulouse.

Largest cities, 2022-now

  1. 1 BeijingChina 120 works
  2. 2 ShanghaiChina 43 works
  3. 3 LondonUnited Kingdom 35 works
  4. 4 ParisFrance 31 works
  5. 5 Xi'anChina 29 works
  6. 6 GuangzhouChina 27 works
  7. 7 Los AngelesUnited States 23 works
  8. 8 PittsburghUnited States 23 works
  9. 9 NanjingChina 23 works
  10. 10 MoscowRussia 23 works

Where it is the local speciality

  1. ToulouseFR · 20.1 works6.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in AI-based Problem Solving and Planning than the world average.

See AI-based Problem Solving and Planning on the map

Where is the best place to study AI-based Problem Solving and Planning?

Among universities, judged by research, Carnegie Mellon University, Massachusetts Institute of Technology 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.

0%10%20%30%mean 15.66%fractional works in this field (log) →share of work in the world top 10% →Stanford UniversityGeorgia Institute of…Carnegie Mellon Univ…Massachusetts Instit…
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Carnegie Mellon UniversityUnited States 76.315.3%19.6×21 -63.0%
2Massachusetts Institute of TechnologyUnited States 64.413.8%7.4×13 -28.5%
3Georgia Institute of TechnologyUnited States 63.017.9%7.7×12 +25.4%
4Stanford UniversityUnited States 58.021.0%2.3×9 +100.7%
5University of Science and Technology of ChinaChina 57.724.2%3.6×11 +356.1%
6University of Illinois Urbana-ChampaignUnited States 55.321.8%4.1×9 +109.3%
7Shanghai Jiao Tong UniversityChina 54.815.6%1.9×14 +350.2%
8Australian National UniversityAustralia 51.82.4%9.6×12 +26.2%
9University of BresciaItaly 50.55.1%31.5×13 +91.5%
10Beihang UniversityChina 49.019.5%4.0×11 +108.1%

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 AI-based Problem Solving and Planning, country by country

Is AI-based Problem Solving and Planning research growing?

Output in 2022-2025 was 30% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are AI-based Problem Solving and Planning.

still counting19801990200020102020
grewheldshrank

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 AI-based Problem Solving and Planning as a percentage of every work published that year, 0.011% in 2024.

still counting0.025%0.050%0.075%AI-based Problem Solving and Planning0.016% in 202519801990200020102020

Fractional works of AI-based Problem Solving and Planning 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.

still counting5%10%15%AI-based Problem Solving and Planning9.4% in 2025200020102020

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.

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