Shinjuku College of Information Technology
- Research works
- 113 ▲ 21% vs 2013–17
- Citations
- 1.4k 12.6 per fractional work
- Top-10% rate
- 19.1% record average 16.5%
- Open access
- 74% world 28%
Not ranked overall: Shinjuku College of Information Technology is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does Shinjuku College of Information Technology specialise in?
Where its research is concentrated relative to its size: Computer Science takes 5.0× the share of its output that it takes of world research.
- Computer ScienceField · 21.7 works5.0×
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: Decision Sciences, 27.4×. Every wedge is a field page.
- Decision Sciences 27.4×
- Computer Science 5.0×
- Mathematics 4.3×
- Materials Science 1.3×
- Physics and Astronomy 0.8×
- Economics, Econometrics and Finance 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Agricultural and Biological Sciences 0.5×
- Engineering 0.5×
- Environmental Science 0.4×
- Business, Management and Accounting 0.4×
- Earth and Planetary Sciences 0.4×
- Immunology and Microbiology 0.3×
- Social Sciences 0.2×
- Medicine 0.1×
- Health Professions 0.0×
Which keywords describe research at Shinjuku College of Information Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Fuzzy Sets, Analytic Hierarchy Process, TOPSIS, Rough Sets, Decision Making, Soft Set Theory, Topological Spaces and Machine Learning.
- Type-2 Fuzzy Sets
- Railway Bridges
- Legal Technology
- Graphene Oxide
- Food Safety
- Nanocomposites
- Graph Neural Networks
- Data Analysis
- Decision Support
- Graph Matching
- Modeling
- Artificial Intelligence
- Deep Learning
- Approximation Algorithms
- Graph Labeling
- Topological Spaces
- Decision Making
- Machine Learning
- Analytic Hierarchy Process
- Fuzzy Sets
- TOPSIS
- Rough Sets
- Soft Set Theory
- Pattern Recognition
- Metric Dimension
- Knowledge Representation
- Algorithmic Applications
- Graph Theory
- Parameterized Complexity
- Graph Processing
- Fuzzy Cognitive Maps
- Big Data
- Knowledge Graph Embedding
- Smart Cities
- Fuzzy Logic Systems
- Hygiene Practices
- Predictive
- Structural-Phase Transformations
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 38 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 38 words, with their numbers
- Fuzzy Sets14▲ 441×2 topics
- Analytic Hierarchy Process10▲ 308×1 topic
- TOPSIS10▲ 420×1 topic
- Machine Learning6▲ 3.1×12 topics
- Rough Sets5▲ 263×2 topics
- Decision Making4▲ 24×2 topics
- Soft Set Theory4▲ 529×1 topic
- Topological Spaces4▲ 529×1 topic
- Pattern Recognition3▲ 83×3 topics
- Graph Labeling3▲ 378×1 topic
- Metric Dimension3▲ 378×1 topic
- Approximation Algorithms3▲ 70×3 topics
- Knowledge Representation2▲ 46×2 topics
- Deep Learning2◆ 1.12×3 topics
- Algorithmic Applications2▲ 106×2 topics
- Artificial Intelligence2▲ 2.4×3 topics
- Graph Theory2▲ 29×1 topic
- Modeling2▲ 12×2 topics
- Parameterized Complexity2▲ 146×1 topic
- Graph Matching2▲ 205×1 topic
- Graph Processing2▲ 205×1 topic
- Decision Support2▲ 93×1 topic
- Fuzzy Cognitive Maps2▲ 194×1 topic
- Data Analysis2▲ 9.7×3 topics
- Big Data1▲ 2.6×2 topics
- Graph Neural Networks1▲ 50×1 topic
- Knowledge Graph Embedding1▲ 50×1 topic
- Nanocomposites1▲ 2.6×2 topics
- Smart Cities1▲ 8.0×3 topics
- Food Safety1▲ 6.1×1 topic
- Fuzzy Logic Systems1▲ 110×1 topic
- Graphene Oxide1▲ 19×2 topics
- Hygiene Practices1▲ 96×1 topic
- Legal Technology1▲ 133×1 topic
- Predictive1▲ 133×1 topic
- Railway Bridges1▲ 45×1 topic
- Structural-Phase Transformations1▲ 285×1 topic
- Type-2 Fuzzy Sets1▲ 110×1 topic
Which research topics does Shinjuku College of Information Technology publish most on?
By volume in 2022–2025: Multi-Criteria Decision Making, Fuzzy and Soft Set Theory, Graph Labeling and Dimension Problems and Advanced Graph Theory Research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Multi-Criteria Decision Making Management Science and Operations Research 10 works
- 2 Fuzzy and Soft Set Theory Management Science and Operations Research 4 works
- 3 Graph Labeling and Dimension Problems Computational Theory and Mathematics 3 works
- 4 Advanced Graph Theory Research Computational Theory and Mathematics 2 works
- 5 Graph Theory and Algorithms Computer Vision and Pattern Recognition 2 works
- 6 Cognitive Science and Mapping Artificial Intelligence 2 works
- 7 Advanced Graph Neural Networks Artificial Intelligence 1 works
- 8 Artificial Intelligence in Law Political Science and International Relations 1 works
- 9 Fuzzy Logic and Control Systems Artificial Intelligence 1 works
- 10 Food Safety and Hygiene Food Science 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 Shinjuku College of Information Technology's research output changed?
Output in 2018–2022 was 21% 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 Nakano
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.