Saitama Institute of Technology
In research, Saitama Institute of Technology stands highest in Physical Sciences (#10,461 of 12,888 worldwide) and Engineering (#6,447 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Mechanical Engineering — Mechanical Engineering is 5.6× its share of world research.
- World rank, 2022–2025
- #20,214 of 28,054 · #8,940 all time
- Rank in Japan
- #585 of 1,070
- Research works
- 1.8k ▲ 2% vs 2013–17
- Citations
- 14k 8.1 per fractional work
- Top-10% rate
- 2.2% record average 16.5%
- Open access
- 45% world 28%
What is Saitama Institute of Technology 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 | #10,461 of 12,888 | 2.0% | 172 | #5755 | |
| EngineeringField | #6,447 of 6,636 | 1.3% | 100 | #6119 |
Each strip is that field’s whole ranked pool, with the notch where Saitama Institute of Technology 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 Saitama Institute of Technology specialise in?
Where its research is concentrated relative to its size: Mechanical Engineering takes 5.6× the share of its output that it takes of world research.
- Mechanical EngineeringSubfield · 22.4 works5.6×
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: Materials Science, 3.3×. Every wedge is a field page.
- Materials Science 3.3×
- Neuroscience 3.1×
- Physics and Astronomy 3.1×
- Engineering 3.0×
- Chemical Engineering 2.0×
- Chemistry 1.3×
- Psychology 1.0×
- Computer Science 0.9×
- Energy 0.7×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Environmental Science 0.7×
- Mathematics 0.4×
- Medicine 0.3×
- Immunology and Microbiology 0.3×
- Agricultural and Biological Sciences 0.2×
- Earth and Planetary Sciences 0.2×
- Nursing 0.2×
- Arts and Humanities 0.1×
- Social Sciences 0.1×
- Health Professions 0.1×
- Decision Sciences 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
Who are the top researchers at Saitama Institute of Technology?
Ranked on the composite score, T. Fukamachi, Tomohiro Matsuda and Tadashi Narita lead among researchers whose main affiliation is Saitama Institute of Technology.
- 1 T. Fukamachi Japan · #131,010 worldwide 44 citations · 33 works
- 2 Tomohiro Matsuda Japan · #742,698 worldwide 112 citations · 50 works
- 3 Tadashi Narita Japan · #751,964 worldwide 58 citations · 38 works
- 4 Tomomi Hashimoto Japan · #785,980 worldwide 2 citations · 15 works
- 5 Masaru Takahashi Japan · #816,158 worldwide 28 citations · 40 works
- 6 Risaburo OBA Japan · #847,944 worldwide 52 citations · 45 works
- 7 Akira Shimamoto Japan · #903,526 worldwide 112 citations · 99 works
- 8 Hiroshi Hamana Japan · #921,209 worldwide 93 citations · 65 works
- 9 Kazunari Shima Japan · #935,189 worldwide 64 citations · 40 works
- 10 Xilu Zhao Japan · #976,986 worldwide 59 citations · 50 works
Which keywords describe research at Saitama Institute of Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Nanoparticles, Biomedical Applications, Graphene, Biosensors, Nanomaterials, Brain-Computer Interfaces, EEG Analysis and Mechanical Properties.
- Total Hip Replacement
- Passive Vibration Isolators
- Organic Electronics
- Renewable Resources
- Finite-Difference Time-Domain
- Nonlinear Systems
- Maxwell's Equations
- Friction
- Ferrofluids
- Electrochemical Biosensors
- Nanomedicine
- Vibration Analysis
- Biosensor Applications
- Stability Analysis
- Electrochemistry
- EEG Analysis
- Biosensors
- Graphene
- Deep Learning
- Biomedical Applications
- Nanoparticles
- Machine Learning
- Nanomaterials
- Mechanical Properties
- Brain-Computer Interfaces
- Carbon Nanotubes
- Nanocomposites
- Imaging
- Fluid Dynamics
- Real-Time Monitoring
- Numerical Simulation
- Glucose Sensors
- Magnetic Particle Imaging
- Nonlinear Dynamics
- Surface Roughness
- Electromagnetics
- Grain Refinement
- Nanoscale Imaging
- Magnetorheological Fluids
- Revision Surgery
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
- Nanoparticles15▲ 5.6×20 topics
- Biomedical Applications12▲ 4.7×17 topics
- Machine Learning12▲ 1.60×19 topics
- Deep Learning10▲ 1.35×18 topics
- Nanomaterials10▲ 4.2×11 topics
- Graphene10▲ 6.5×8 topics
- Mechanical Properties9▲ 4.0×17 topics
- Biosensors8▲ 7.4×6 topics
- Brain-Computer Interfaces7▲ 31×1 topic
- EEG Analysis7▲ 31×1 topic
- Carbon Nanotubes6▲ 8.2×6 topics
- Electrochemistry6▲ 12×2 topics
- Nanocomposites6▲ 3.3×10 topics
- Stability Analysis6▲ 17×3 topics
- Imaging6▲ 10×4 topics
- Biosensor Applications5▲ 22×3 topics
- Fluid Dynamics5▲ 17×3 topics
- Vibration Analysis5▲ 8.9×6 topics
- Real-Time Monitoring5▲ 30×2 topics
- Nanomedicine5▲ 28×2 topics
- Numerical Simulation5▲ 7.2×6 topics
- Electrochemical Biosensors5▲ 29×1 topic
- Glucose Sensors5▲ 29×1 topic
- Ferrofluids4▲ 153×1 topic
- Magnetic Particle Imaging4▲ 153×1 topic
- Friction4▲ 34×3 topics
- Nonlinear Dynamics4▲ 8.3×4 topics
- Maxwell's Equations4▲ 62×2 topics
- Surface Roughness4▲ 12×3 topics
- Nonlinear Systems4▲ 7.6×3 topics
- Electromagnetics3▲ 111×1 topic
- Finite-Difference Time-Domain3▲ 111×1 topic
- Grain Refinement3▲ 13×4 topics
- Renewable Resources3▲ 8.4×3 topics
- Nanoscale Imaging3▲ 16×2 topics
- Organic Electronics3▲ 9.2×2 topics
- Magnetorheological Fluids3▲ 57×1 topic
- Passive Vibration Isolators3▲ 57×1 topic
- Revision Surgery3▲ 10×2 topics
- Total Hip Replacement3▲ 10×2 topics
Which research topics does Saitama Institute of Technology publish most on?
By volume in 2022–2025: EEG and Brain-Computer Interfaces, Electrochemical sensors and biosensors, Characterization and Applications of Magnetic Nanoparticles and Electromagnetic Simulation and Numerical Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 EEG and Brain-Computer Interfaces Cognitive Neuroscience 7 works
- 2 Electrochemical sensors and biosensors Electrical and Electronic Engineering 5 works
- 3 Characterization and Applications of Magnetic Nanoparticles Biomedical Engineering 4 works
- 4 Electromagnetic Simulation and Numerical Methods Electrical and Electronic Engineering 3 works
- 5 Vibration Control and Rheological Fluids Civil and Structural Engineering 3 works
- 6 Model Reduction and Neural Networks Statistical and Nonlinear Physics 3 works
- 7 Lubricants and Their Additives Mechanical Engineering 3 works
- 8 Conducting polymers and applications Polymers and Plastics 3 works
- 9 X-ray Diffraction in Crystallography Materials Chemistry 2 works
- 10 Vibration and Dynamic Analysis Control and Systems Engineering 2 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 Saitama Institute of Technology's research output changed?
Output in 2018–2022 was 2% 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 Fukayachō
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.