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Educational Robotics and Engineering

Educational Robotics and Engineering is a research topic within Artificial Intelligence. Science Explorer counts 19k research works in it since 1950. 11.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on robotics programming education for elementary and junior high school students, university education, and mechatronics education. It emphasizes self-directed learning, creative activity, and the development of learning environments fostering creativity. The papers also discuss the educational effects of participation in robot competitions and the application of control engineering in teaching materials.

  • Robotics Programming
  • Education
  • Learning Environments
  • Engineering Design
  • Humanoid Robotics
  • Creative Activity
  • STEM Education
  • Control Engineering
  • Self-directed Learning
  • Robot Competition
Research works
19k
fractional, since 1950
In the world top 10%
2.1k
per year above
Top-10% rate
11.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-8%
the tick is no change
Largest producer
Japan
35% of the 10 largest, 2022-now
Educational Robotics and Engineering

Which countries lead Educational Robotics and Engineering research?

By volume, Japan and the United States publish the most (696 and 554 works in 2022-now).

By volume, 2022-now

  1. 1 Japan 696 works
  2. 2 United States 554 works
  3. 3 China 225 works
  4. 4 United Kingdom 127 works
  5. 5 Indonesia 96 works
  6. 6 India 80 works
  7. 7 Germany 62 works
  8. 8 France 56 works
  9. 9 Italy 40 works
  10. 10 Canada 40 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.

Japan: 35.2%United States: 28.0%China: 11.4%United Kingdom: 6.4%6 others listed: 18.9%35%largest
Japan696 · 35.2%United States554 · 28.0%China225 · 11.4%United Kingdom127 · 6.4%6 others listed374 · 18.9%

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

Which institutions lead Educational Robotics and Engineering research?

By volume in 2022-now, Human Growth Foundation publishes the most Educational Robotics and Engineering research, followed by The University of Tokyo and Health & Medical Publishing Group.

Who are the leading researchers in Educational Robotics and Engineering?

The most-cited researchers publishing on Educational Robotics and Engineering include David Moher, Rob Knight and Sudhir Kumar.

  1. 1 David Moher Canada 898k citations
  2. 2 Rob Knight United States 468k citations
  3. 3 Sudhir Kumar United States 295k citations
  4. 4 Wei Huang China 267k 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 Educational Robotics and Engineering?

The most cited paper in Educational Robotics and Engineering is "An International Symposium" (Bentley Glass, 1960), with 807 citations. Next come "Development Projects Observed" (765) and "International SMA Consortium Meeting (26–28 June 1992, Bonn, Germany)" (662).

Most cited papers
#PaperReleasedCitations
1 An International Symposium Bentley Glass · Bulletin of the Atomic Scientists Jun 1960 807
2 Development Projects Observed W. Paul Strassman · Journal of Economic Issues Jun 1968 765
3 International SMA Consortium Meeting (26–28 June 1992, Bonn, Germany) Theodore L. Munsat, Kay Elizabeth Davies · Neuromuscular Disorders 1992 662
4 AAAI Spring Symposium Series Saturnino Luz Filho, Bridget T. Kane · National Conference on Artificial Intelligence Conference paper 20 Mar 2016 566
5 Activities, Interests and Opinions William D. Wells, Douglas J. Tigert · Journal of Advertising Research Sep 1983 564
All 101 most cited papers, with filters and sorting

Where is Educational Robotics and Engineering research done?

The largest centres of Educational Robotics and Engineering research in 2022-now are Tokyo (Japan), New York (United States), Beijing (China) and Osaka (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Cape Town.

Largest cities, 2022-now

  1. 1 TokyoJapan 190 works
  2. 2 New YorkUnited States 83 works
  3. 3 BeijingChina 45 works
  4. 4 OsakaJapan 40 works
  5. 5 LondonUnited Kingdom 36 works
  6. 6 KyotoJapan 33 works
  7. 7 Cape TownSouth Africa 27 works
  8. 8 NagoyaJapan 24 works
  9. 9 ParisFrance 20 works
  10. 10 Washington D.C.United States 18 works

Where it is the local speciality

  1. Cape TownZA · 26.6 works27×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Educational Robotics and Engineering than the world average.

See Educational Robotics and Engineering on the map

Where is the best place to study Educational Robotics and Engineering?

Among universities, judged by research, Tokyo Institute of Technology, The University of Tokyo and University of St Andrews score highest, combining citation 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 9.29%fractional works in this field (log) →share of work in the world top 10% →Tokyo Institute of T…University of St And…The University of To…Kindai University
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.

Citation 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
1Tokyo Institute of TechnologyJapan 67.229.2%11.0×8 +59.5%
2The University of TokyoJapan 63.06.6%14.3×37 +0.3%
3University of St AndrewsUnited Kingdom 46.77.1%31.5×14 +333.3%
4Kindai UniversityJapan 44.95.0%60.1×22 +329.2%
5Institute of Electrical and Electronics EngineersUnited States 42.86.3%273.4×16 +26.5%
6Hiroshima UniversityJapan 41.015.9%11.3×8 -30.3%
7Tottori UniversityJapan 31.53.3%70.1×14 +211.9%
8Kyoto UniversityJapan 31.49.9%6.3×10 -18.1%
9Ritsumeikan UniversityJapan 28.85.5%23.5×8 -10.5%
10Naruto University of EducationJapan 25.14.1%618.0×12 -

Universities only. The score blends citation 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 Educational Robotics and Engineering, country by country

Is Educational Robotics and Engineering research growing?

Output in 2022-2025 was 8% lower than in 2018-2021, peaking in 2015.

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 Educational Robotics and Engineering as a percentage of every work published that year, 0.0099% in 2024.

still counting0.020%0.040%Educational Robotics and Engineering0.0085% in 202519801990200020102020

Fractional works of Educational Robotics and Engineering 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%Educational Robotics and Engineering11.5% 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.

Discussion

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