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University · Kyoto · Japan

Ritsumeikan University

In research, Ritsumeikan University stands highest in Social Sciences (#1,392 of 10,521 worldwide), Physical Sciences (#2,072 of 12,888 worldwide) and Social Sciences (#1,066 of 6,365 worldwide), 2022–2025. Relative to its size it is most specialised in Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing — Human-Computer Interaction is 5.4× its share of world research.

World rank, 2022–2025
#2,385
of 28,054 · #2,179 all time
Rank in Japan
#32
of 1,070
Research works
19k
▲ 11% vs 2013–17
Citations
175k
9.4 per fractional work
Top-10% rate
10.0%
record average 16.5%
Open access
42%
world 28%

What is Ritsumeikan University known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Social SciencesDomain #1,392 of 10,521 15.5%813 #2121
Physical SciencesDomain #2,072 of 12,888 8.1%2,094 #1629
Social SciencesField #1,066 of 6,365 17.2%345 #2207
EngineeringField #1,406 of 6,636 7.6%862 #1173
Computer ScienceField #1,191 of 4,667 9.1%642 #1014
Computer Vision and Pattern RecognitionSubfield #358 of 941 13.2%200 #518
Life SciencesDomain #2,976 of 7,800 9.1%369 #3691
Sociology and Political ScienceSubfield #985 of 2,578 20.8%134 #1491
Health SciencesDomain #5,203 of 11,982 9.7%336 #7846
Artificial IntelligenceSubfield #837 of 1,884 9.9%194 #1075

Each strip is that field’s whole ranked pool, with the notch where Ritsumeikan University sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Social Sciences#2,121 #1,392
  2. Physical Sciences#1,629 #2,072
  3. Social Sciences#2,207 #1,066
  4. Engineering#1,173 #1,406
  5. Computer Science#1,014 #1,191
  6. Computer Vision and Pattern Recognition#518 #358
  7. Life Sciences#3,691 #2,976
  8. Sociology and Political Science#1,491 #985
  9. Health Sciences#7,846 #5,203
  10. Artificial Intelligence#1,075 #837
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Ritsumeikan University specialise in?

Where its research is concentrated relative to its size: Human-Computer Interaction takes 5.4× the share of its output that it takes of world research.

  1. Human-Computer InteractionSubfield · 40.2 works5.4×
  2. Computer Vision and Pattern RecognitionSubfield · 199.7 works4.4×
  3. Signal ProcessingSubfield · 43.8 works4.0×
← less than its size predictsmore →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.44× its world share, 75 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.78× its world share, 151 worksBiochemistry, Geneti…Immunology and Microbiology: 0.18× its world share, 6 worksImmunology and Micro…Neuroscience: 1.84× its world share, 108 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 2.26× its world share, 29 worksPharmacology, Toxico…Chemical Engineering: 0.65× its world share, 8 worksChemical EngineeringChemistry: 1.33× its world share, 75 worksChemistryComputer Science: 2.28× its world share, 642 worksComputer ScienceEarth and Planetary Sciences: 0.59× its world share, 33 worksEarth and Planetary …Energy: 1.07× its world share, 35 worksEnergyEngineering: 1.59× its world share, 862 worksEngineeringEnvironmental Science: 0.78× its world share, 140 worksEnvironmental ScienceMaterials Science: 1.31× its world share, 165 worksMaterials ScienceMathematics: 1.13× its world share, 48 worksMathematicsPhysics and Astronomy: 1.05× its world share, 85 worksPhysics and AstronomyDentistry: 0.04× its world share, 1 worksDentistryHealth Professions: 0.36× its world share, 34 worksHealth ProfessionsMedicine: 0.41× its world share, 287 worksMedicineNursing: 0.67× its world share, 12 worksNursingVeterinary: 0.36× its world share, 2 worksVeterinaryArts and Humanities: 0.60× its world share, 62 worksArts and HumanitiesBusiness, Management and Accounting: 0.93× its world share, 108 worksBusiness, Management…Decision Sciences: 0.87× its world share, 30 worksDecision SciencesEconomics, Econometrics and Finance: 1.17× its world share, 90 worksEconomics, Econometr…Psychology: 1.61× its world share, 178 worksPsychologySocial Sciences: 0.75× its world share, 345 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 2.3×. Every wedge is a field page.

Who are the top researchers at Ritsumeikan University?

Ranked on the composite score, Michael J. Lyons, S. Arimoto and S. Kawamura lead among researchers whose main affiliation is Ritsumeikan University.

  1. 1 Michael J. Lyons Japan · #23,021 worldwide 840 citations · 39 works
  2. 2 S. Arimoto Japan · #35,478 worldwide 574 citations · 65 works
  3. 3 S. Kawamura Japan · #69,365 worldwide 311 citations · 54 works
  4. 4 Ryuta Ozawa Japan · #97,290 worldwide 104 citations · 41 works
  5. 5 Suguru Arimoto Japan · #116,145 worldwide 248 citations · 96 works
  6. 6 Weisheng Zhou Japan · #132,713 worldwide 140 citations · 29 works
  7. 7 Hidekazu Tanaka Japan · #143,397 worldwide 241 citations · 39 works
  8. 8 Kei Ameyama Japan · #168,798 worldwide 545 citations · 104 works
  9. 9 Ryoichi Fukagawa Japan · #218,031 worldwide 108 citations · 36 works
  10. 10 Kenichi Nakagami Japan · #219,851 worldwide 124 citations · 20 works
All ranked researchers at Ritsumeikan University

Which keywords describe research at Ritsumeikan University?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Self-Assembly, Soft Robotics, Robotic Manipulators and Virtual Reality.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning358▲ 2.9×77 topics
  2. Neural Networks162▲ 2.9×38 topics
  3. Machine Learning152▲ 1.29×80 topics
  4. Convolutional Neural Networks83▲ 3.1×14 topics
  5. Sustainability78◆ 0.89×62 topics
  6. Biomedical Applications75▲ 1.74×32 topics
  7. Globalization72◆ 1.02×65 topics
  8. Artificial Intelligence65▲ 1.31×37 topics
  9. Self-Assembly59▲ 5.0×11 topics
  10. Virtual Reality55▲ 3.0×12 topics
  11. Feature Extraction50▲ 3.0×10 topics
  12. Soft Robotics42▲ 16×2 topics
  13. Wireless Sensor Networks40▲ 2.4×15 topics
  14. Robotics37▲ 4.2×8 topics
  15. Robotic Manipulators36▲ 10×3 topics
  16. Human-Computer Interaction36▲ 5.7×5 topics
  17. Image Processing36▲ 2.2×12 topics
  18. Multi-Agent Systems34▲ 5.0×5 topics
  19. Distributed Control33▲ 8.2×3 topics
  20. Minimally Invasive Surgery32▲ 16×2 topics
  21. Bioinspired Robotics32▲ 25×1 topic
  22. Continuum Robots32▲ 25×1 topic
  23. Actuators32▲ 5.6×5 topics
  24. Computer Vision32▲ 3.2×5 topics
  25. Autonomous Vehicles30▲ 3.9×5 topics
  26. Modular Robots28▲ 19×1 topic
  27. Self-Reconfiguration28▲ 19×1 topic
  28. Unsupervised Learning27▲ 5.3×3 topics
  29. Human-Robot Interaction27▲ 7.2×3 topics
  30. Convolutional Networks27▲ 5.3×3 topics
  31. Grasping23▲ 17×1 topic
  32. Mobile Robots23▲ 6.5×3 topics
  33. Robot Learning23▲ 17×1 topic
  34. Beamforming22▲ 5.7×4 topics
  35. Service Robots21▲ 7.0×2 topics
  36. Audio-Visual Speech Recognition20▲ 10×1 topic
  37. Metal Complexes20▲ 8.1×4 topics
  38. Speech Enhancement20▲ 10×1 topic
  39. Photochemical Properties20▲ 14×2 topics
  40. Phthalocyanines19▲ 25×1 topic

Which research topics does Ritsumeikan University publish most on?

By volume in 2022–2025: Soft Robotics and Applications, Modular Robots and Swarm Intelligence, Robot Manipulation and Learning and Speech and Audio Processing.

  1. 1 Soft Robotics and Applications Biomedical Engineering 32 works
  2. 2 Modular Robots and Swarm Intelligence Mechanical Engineering 28 works
  3. 3 Robot Manipulation and Learning Control and Systems Engineering 23 works
  4. 4 Speech and Audio Processing Signal Processing 20 works
  5. 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 20 works
  6. 6 Robotics and Sensor-Based Localization Aerospace Engineering 19 works
  7. 7 Porphyrin and Phthalocyanine Chemistry Materials Chemistry 19 works
  8. 8 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 18 works
  9. 9 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 18 works
  10. 10 Anomaly Detection Techniques and Applications Artificial Intelligence 16 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available41.9%not open58.1%

World: 28% of research is openly available.

with international co-authors11.3%domestic only88.7%

World: 19% is written across borders.

How has Ritsumeikan University's research output changed?

Output in 2018–2022 was 11% higher than in 2013–2017.

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Kyoto

All research institutions in Kyoto

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.