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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Social Sciences#2,121 #1,392
- Physical Sciences#1,629 #2,072
- Social Sciences#2,207 #1,066
- Engineering#1,173 #1,406
- Computer Science#1,014 #1,191
- Computer Vision and Pattern Recognition#518 #358
- Life Sciences#3,691 #2,976
- Sociology and Political Science#1,491 #985
- Health Sciences#7,846 #5,203
- Artificial Intelligence#1,075 #837
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.
- Human-Computer InteractionSubfield · 40.2 works5.4×
- Computer Vision and Pattern RecognitionSubfield · 199.7 works4.4×
- Signal ProcessingSubfield · 43.8 works4.0×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 2.3×. Every wedge is a field page.
- Computer Science 2.3×
- Pharmacology, Toxicology and Pharmaceutics 2.3×
- Neuroscience 1.8×
- Psychology 1.6×
- Engineering 1.6×
- Chemistry 1.3×
- Materials Science 1.3×
- Economics, Econometrics and Finance 1.2×
- Mathematics 1.1×
- Energy 1.1×
- Physics and Astronomy 1.1×
- Business, Management and Accounting 0.9×
- Decision Sciences 0.9×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Environmental Science 0.8×
- Social Sciences 0.8×
- Nursing 0.7×
- Chemical Engineering 0.7×
- Arts and Humanities 0.6×
- Earth and Planetary Sciences 0.6×
- Agricultural and Biological Sciences 0.4×
- Medicine 0.4×
- Health Professions 0.4×
- Veterinary 0.4×
- Immunology and Microbiology 0.2×
- Dentistry 0.0×
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 Michael J. Lyons Japan · #23,021 worldwide 840 citations · 39 works
- 2 S. Arimoto Japan · #35,478 worldwide 574 citations · 65 works
- 3 S. Kawamura Japan · #69,365 worldwide 311 citations · 54 works
- 4 Ryuta Ozawa Japan · #97,290 worldwide 104 citations · 41 works
- 5 Suguru Arimoto Japan · #116,145 worldwide 248 citations · 96 works
- 6 Weisheng Zhou Japan · #132,713 worldwide 140 citations · 29 works
- 7 Hidekazu Tanaka Japan · #143,397 worldwide 241 citations · 39 works
- 8 Kei Ameyama Japan · #168,798 worldwide 545 citations · 104 works
- 9 Ryoichi Fukagawa Japan · #218,031 worldwide 108 citations · 36 works
- 10 Kenichi Nakagami Japan · #219,851 worldwide 124 citations · 20 works
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.
- Phthalocyanines
- Speech Enhancement
- Audio-Visual Speech Recognition
- Beamforming
- Mobile Robots
- Convolutional Networks
- Unsupervised Learning
- Modular Robots
- Computer Vision
- Continuum Robots
- Minimally Invasive Surgery
- Multi-Agent Systems
- Human-Computer Interaction
- Robotics
- Soft Robotics
- Virtual Reality
- Artificial Intelligence
- Biomedical Applications
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Sustainability
- Globalization
- Self-Assembly
- Feature Extraction
- Wireless Sensor Networks
- Robotic Manipulators
- Image Processing
- Distributed Control
- Bioinspired Robotics
- Actuators
- Autonomous Vehicles
- Self-Reconfiguration
- Human-Robot Interaction
- Grasping
- Robot Learning
- Service Robots
- Metal Complexes
- Photochemical Properties
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
- Deep Learning358▲ 2.9×77 topics
- Neural Networks162▲ 2.9×38 topics
- Machine Learning152▲ 1.29×80 topics
- Convolutional Neural Networks83▲ 3.1×14 topics
- Sustainability78◆ 0.89×62 topics
- Biomedical Applications75▲ 1.74×32 topics
- Globalization72◆ 1.02×65 topics
- Artificial Intelligence65▲ 1.31×37 topics
- Self-Assembly59▲ 5.0×11 topics
- Virtual Reality55▲ 3.0×12 topics
- Feature Extraction50▲ 3.0×10 topics
- Soft Robotics42▲ 16×2 topics
- Wireless Sensor Networks40▲ 2.4×15 topics
- Robotics37▲ 4.2×8 topics
- Robotic Manipulators36▲ 10×3 topics
- Human-Computer Interaction36▲ 5.7×5 topics
- Image Processing36▲ 2.2×12 topics
- Multi-Agent Systems34▲ 5.0×5 topics
- Distributed Control33▲ 8.2×3 topics
- Minimally Invasive Surgery32▲ 16×2 topics
- Bioinspired Robotics32▲ 25×1 topic
- Continuum Robots32▲ 25×1 topic
- Actuators32▲ 5.6×5 topics
- Computer Vision32▲ 3.2×5 topics
- Autonomous Vehicles30▲ 3.9×5 topics
- Modular Robots28▲ 19×1 topic
- Self-Reconfiguration28▲ 19×1 topic
- Unsupervised Learning27▲ 5.3×3 topics
- Human-Robot Interaction27▲ 7.2×3 topics
- Convolutional Networks27▲ 5.3×3 topics
- Grasping23▲ 17×1 topic
- Mobile Robots23▲ 6.5×3 topics
- Robot Learning23▲ 17×1 topic
- Beamforming22▲ 5.7×4 topics
- Service Robots21▲ 7.0×2 topics
- Audio-Visual Speech Recognition20▲ 10×1 topic
- Metal Complexes20▲ 8.1×4 topics
- Speech Enhancement20▲ 10×1 topic
- Photochemical Properties20▲ 14×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Soft Robotics and Applications Biomedical Engineering 32 works
- 2 Modular Robots and Swarm Intelligence Mechanical Engineering 28 works
- 3 Robot Manipulation and Learning Control and Systems Engineering 23 works
- 4 Speech and Audio Processing Signal Processing 20 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 20 works
- 6 Robotics and Sensor-Based Localization Aerospace Engineering 19 works
- 7 Porphyrin and Phthalocyanine Chemistry Materials Chemistry 19 works
- 8 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 18 works
- 9 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 18 works
- 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.
World: 28% of research is openly available.
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.
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
- Kyoto University
- Kyoto Prefectural University of Medicine
- Kyoto Institute of Technology
- Doshisha University
- Kyoto Pharmaceutical University
- Ryukoku University
- Ōtani University
- Kyoto University of Education
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.