Konica Minolta (Japan)
In research, Konica Minolta (Japan) stands highest in Physical Sciences (#12,621 of 21,541 worldwide), over all time.
- World rank, all time
- #22,205 of 42,892
- Rank in Japan
- #842 of 2,112
- Research works
- 207 ▲ 27% vs 2013–17
- Citations
- 2.6k 12.6 per fractional work
- Top-10% rate
- 14.2% record average 16.5%
- Open access
- 31% world 28%
What is Konica Minolta (Japan) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #12,621 of 21,541 | 17.1% | 151 |
Each strip is that field’s whole ranked pool, with the notch where Konica Minolta (Japan) 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).
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, 2.8×. Every wedge is a field page.
- Materials Science 2.8×
- Chemistry 2.3×
- Medicine 1.8×
- Dentistry 1.6×
- Biochemistry, Genetics and Molecular Biology 1.6×
- Nursing 1.6×
- Engineering 1.5×
- Computer Science 1.3×
- Neuroscience 1.2×
- Physics and Astronomy 1.1×
- Immunology and Microbiology 0.6×
- Business, Management and Accounting 0.2×
- Environmental Science 0.2×
- Decision Sciences 0.2×
- Psychology 0.2×
- Health Professions 0.1×
- Social Sciences 0.1×
- Economics, Econometrics and Finance 0.1×
Who are the top researchers at Konica Minolta (Japan)?
Ranked on the composite score, Hiroshi Kita lead among researchers whose main affiliation is Konica Minolta (Japan).
- 1 Hiroshi Kita Japan · #889,548 worldwide 49 citations · 37 works
Which keywords describe research at Konica Minolta (Japan)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Transition Metal Complexes, Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Bioimaging and Deep Learning.
- Mild Cognitive Impairment
- Acoustic Wave Biosensors
- Organic Light-Emitting Diodes
- Biosensors
- Osteoarthritis
- Cartilage
- Alzheimer's Disease
- Neural Networks
- Inflammation
- Aggregation-Induced Emission
- Diagnosis
- Bioimaging
- Computer-Aided Detection
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Transition Metal Complexes
- Medical Image Analysis
- Histopathology Images
- Biomarkers
- Nanoparticles
- Fluorescent Materials
- Matrix Metalloproteinases
- Regeneration
- Anterior Cruciate Ligament
- Injury Risk
- Biological Detection
- Echocardiography
- Phosphorescent Materials
- Dementia
- Thin Film Resonators
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 31 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 31 words, with their numbers
- Machine Learning4▲ 2.5×9 topics
- Deep Learning3▲ 1.98×10 topics
- Transition Metal Complexes2▲ 59×3 topics
- Convolutional Neural Networks2▲ 6.5×4 topics
- Medical Image Analysis2▲ 24×3 topics
- Computer-Aided Detection2▲ 46×1 topic
- Histopathology Images2▲ 46×1 topic
- Bioimaging2▲ 17×3 topics
- Biomarkers2▲ 5.1×4 topics
- Diagnosis2▲ 3.8×4 topics
- Nanoparticles2▲ 2.9×5 topics
- Aggregation-Induced Emission1▲ 55×1 topic
- Fluorescent Materials1▲ 50×1 topic
- Inflammation1▲ 1.54×3 topics
- Matrix Metalloproteinases1▲ 23×2 topics
- Neural Networks1▲ 2.1×9 topics
- Regeneration1▲ 16×2 topics
- Alzheimer's Disease1▲ 9.9×2 topics
- Anterior Cruciate Ligament1▲ 73×1 topic
- Cartilage1▲ 62×1 topic
- Injury Risk1▲ 73×1 topic
- Osteoarthritis1▲ 23×1 topic
- Biological Detection1▲ 28×2 topics
- Biosensors1▲ 4.9×2 topics
- Echocardiography1▲ 10×2 topics
- Organic Light-Emitting Diodes1▲ 103×1 topic
- Phosphorescent Materials1▲ 103×1 topic
- Acoustic Wave Biosensors1▲ 81×1 topic
- Dementia1▲ 26×1 topic
- Mild Cognitive Impairment1▲ 29×1 topic
- Thin Film Resonators1▲ 81×1 topic
Which research topics does Konica Minolta (Japan) publish most on?
By volume in 2022–2025: AI in cancer detection, Luminescence and Fluorescent Materials, Knee injuries and reconstruction techniques and Osteoarthritis Treatment and Mechanisms.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 AI in cancer detection Artificial Intelligence 2 works
- 2 Luminescence and Fluorescent Materials Materials Chemistry 1 works
- 3 Knee injuries and reconstruction techniques Surgery 1 works
- 4 Osteoarthritis Treatment and Mechanisms Rheumatology 1 works
- 5 Organic Light-Emitting Diodes Research Electrical and Electronic Engineering 1 works
- 6 Acoustic Wave Resonator Technologies Biomedical Engineering 1 works
- 7 Dementia and Cognitive Impairment Research Psychiatry and Mental health 1 works
- 8 Organoboron and organosilicon chemistry Organic Chemistry 1 works
- 9 Ultrasound in Clinical Applications Critical Care and Intensive Care Medicine 1 works
- 10 Advanced Biosensing Techniques and Applications Molecular Biology 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 Konica Minolta (Japan)'s research output changed?
Output in 2018–2022 was 27% 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 Tokyo
- The University of Tokyo
- Tokyo Institute of Technology
- Keio University
- Waseda University
- Tokyo University of Science
- Nihon University
- Hitachi (Japan)
- NTT (Japan)
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.