Iwate Prefectural University
In research, Iwate Prefectural University stands highest in Physical Sciences (#12,180 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Science — Computer Science is 4.3× its share of world research.
- World rank, 2022–2025
- #16,459 of 28,054 · #15,375 all time
- Rank in Japan
- #439 of 1,070
- Research works
- 1.6k ▼ 2% vs 2013–17
- Citations
- 15k 9.0 per fractional work
- Top-10% rate
- 11.7% record average 16.5%
- Open access
- 25% world 28%
What is Iwate Prefectural 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #12,180 of 12,888 | 11.1% | 91 | #12073 |
Each strip is that field’s whole ranked pool, with the notch where Iwate Prefectural 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).
What does Iwate Prefectural University specialise in?
Where its research is concentrated relative to its size: Computer Science takes 4.3× the share of its output that it takes of world research.
- Computer ScienceField · 48.0 works4.3×
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, 4.3×. Every wedge is a field page.
- Computer Science 4.3×
- Decision Sciences 2.5×
- Nursing 2.4×
- Psychology 1.6×
- Environmental Science 1.4×
- Engineering 1.3×
- Economics, Econometrics and Finance 1.0×
- Social Sciences 0.8×
- Chemical Engineering 0.8×
- Arts and Humanities 0.8×
- Neuroscience 0.7×
- Health Professions 0.7×
- Physics and Astronomy 0.7×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Earth and Planetary Sciences 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Business, Management and Accounting 0.3×
- Agricultural and Biological Sciences 0.3×
- Chemistry 0.3×
- Medicine 0.3×
- Immunology and Microbiology 0.3×
- Mathematics 0.1×
Who are the top researchers at Iwate Prefectural University?
Ranked on the composite score, Hamido Fujita, Goutam Chakraborty and Keizo Yamada lead among researchers whose main affiliation is Iwate Prefectural University.
- 1 Hamido Fujita Japan · #5,359 worldwide 1.5k citations · 145 works
- 2 Goutam Chakraborty Japan · #412,305 worldwide 309 citations · 76 works
- 3 Keizo Yamada Japan · #554,280 worldwide 2 citations · 36 works
- 4 Masashi Kawasaki Japan · #572,011 worldwide 38 citations · 17 works
- 5 Yoshitaka Shibata Japan · #864,685 worldwide 125 citations · 119 works
- 6 Takashi Ogata Japan · #895,841 worldwide 113 citations · 101 works
- 7 Masaki Kurematsu Japan · #1,015,529 worldwide 21 citations · 22 works
- 8 Basabi Chakraborty Japan · #1,049,682 worldwide 78 citations · 54 works
- 9 Yoshitoshi Murata Japan · #1,066,535 worldwide 25 citations · 15 works
- 10 Jun Hakura Japan · #1,080,887 worldwide 19 citations · 25 works
Which keywords describe research at Iwate Prefectural 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, Environmental Monitoring, IoT, Wireless Sensor Networks and Image Processing.
- Particulate Matter
- Semantic Similarity
- Community
- Resource Allocation
- Emergency Management
- Simulation
- Vulnerability
- Time Series
- Anomaly Detection
- Security Analysis
- Feature Selection
- Text Classification
- Autonomous Vehicles
- Classification
- Convolutional Networks
- Breath Analysis
- Image Processing
- IoT
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Environmental Monitoring
- Wireless Sensor Networks
- Social Capital
- Computer Vision
- Electronic Nose
- Information Retrieval
- Feature Extraction
- Virtual Reality
- Motivation
- Topic Modeling
- Machine Translation
- Unmanned Aerial Vehicles
- Collision Avoidance
- Corpus Linguistics
- Machine Vision
- Agent-Based Modeling
- Disaster
- Word Representation
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 Learning26▲ 5.4×52 topics
- Machine Learning14▲ 3.0×42 topics
- Neural Networks13▲ 5.7×26 topics
- Convolutional Neural Networks6▲ 5.8×12 topics
- Environmental Monitoring4▲ 7.8×6 topics
- IoT4▲ 7.9×9 topics
- Wireless Sensor Networks4▲ 5.7×9 topics
- Image Processing4▲ 5.6×9 topics
- Social Capital3▲ 4.0×4 topics
- Breath Analysis3▲ 19×1 topic
- Computer Vision3▲ 7.7×3 topics
- Convolutional Networks3▲ 15×3 topics
- Electronic Nose3▲ 26×1 topic
- Classification3▲ 4.4×10 topics
- Information Retrieval3▲ 9.2×3 topics
- Autonomous Vehicles3▲ 9.0×3 topics
- Feature Extraction3▲ 4.1×9 topics
- Text Classification3▲ 12×2 topics
- Virtual Reality3▲ 3.8×6 topics
- Feature Selection3▲ 8.2×6 topics
- Motivation3▲ 4.3×3 topics
- Security Analysis2▲ 10×4 topics
- Topic Modeling2▲ 11×2 topics
- Anomaly Detection2▲ 5.2×4 topics
- Machine Translation2▲ 9.4×2 topics
- Time Series2▲ 8.7×3 topics
- Unmanned Aerial Vehicles2▲ 8.3×3 topics
- Vulnerability2▲ 6.9×2 topics
- Collision Avoidance2▲ 8.0×3 topics
- Simulation2▲ 5.7×2 topics
- Corpus Linguistics2▲ 6.3×2 topics
- Emergency Management2▲ 26×2 topics
- Machine Vision2▲ 6.2×3 topics
- Resource Allocation2▲ 8.1×4 topics
- Agent-Based Modeling2▲ 9.6×2 topics
- Community2▲ 12×1 topic
- Disaster2▲ 27×1 topic
- Semantic Similarity2▲ 11×1 topic
- Word Representation2▲ 11×1 topic
- Particulate Matter2▲ 8.4×2 topics
Which research topics does Iwate Prefectural University publish most on?
By volume in 2022–2025: Advanced Chemical Sensor Technologies, Topic Modeling, Disaster Management and Resilience and Evacuation and Crowd Dynamics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Chemical Sensor Technologies Biomedical Engineering 3 works
- 2 Topic Modeling Artificial Intelligence 2 works
- 3 Disaster Management and Resilience Sociology and Political Science 2 works
- 4 Evacuation and Crowd Dynamics Ocean Engineering 2 works
- 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 6 Natural Language Processing Techniques Artificial Intelligence 2 works
- 7 Opportunistic and Delay-Tolerant Networks Computer Networks and Communications 2 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 9 Legal and Regulatory Analysis Transportation 1 works
- 10 Virtual Reality Applications and Impacts Human-Computer Interaction 1 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 Iwate Prefectural University's research output changed?
Output in 2018–2022 was 2% lower 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 Takizawa
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.