Mitsubishi Electric (Japan)
In research, Mitsubishi Electric (Japan) stands highest in Physical Sciences (#3,213 of 10,670 worldwide), Engineering (#1,851 of 5,901 worldwide) and Computer Science (#1,919 of 4,417 worldwide), 2022-now. Relative to its size it is most specialised in Signal Processing, Control and Systems Engineering and Electrical and Electronic Engineering (Signal Processing is 8.0× its share of world research).
- World rank, 2022-now
- #6,352 of 22,385 · #12,096 all time
- Rank in Japan
- #138 of 924
- Research works
- 15k ◆ 2% vs 2018-21
- Citations
- 229k 14.9 per fractional work
- Top-10% rate
- 4.7% all institutions 10.0%
- vs its own fields
- 0.74× 1.00× is exactly expected
- Open access
- 23% world 40%
- International
- 28% world 18%
What is Mitsubishi Electric (Japan) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #3,213 of 10,670 | 4.5% | 1,202 | #7426 | |
| EngineeringField | #1,851 of 5,901 | 3.9% | 778 | #2418 | |
| Computer ScienceField | #1,919 of 4,417 | 6.6% | 265 | #1854 | |
| Electrical and Electronic EngineeringSubfield | #1,189 of 2,176 | 3.6% | 338 | #1393 | |
| Control and Systems EngineeringSubfield | #503 of 804 | 6.5% | 105 | #1401 | |
| Artificial IntelligenceSubfield | #1,219 of 1,862 | 6.4% | 92 | #1907 | |
| Aerospace EngineeringSubfield | #591 of 785 | 4.8% | 101 | #1269 | |
| Physics and AstronomyField | #1,145 of 1,417 | 4.9% | 67 | #2382 | |
| Social SciencesDomain | #8,968 of 9,585 | 6.7% | 67 | #14680 |
Each strip is that field's whole ranked pool, with the notch where Mitsubishi Electric (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#7,426 #3,213
- Engineering#2,418 #1,851
- Computer Science#1,854 #1,919
- Electrical and Electronic Engineering#1,393 #1,189
- Control and Systems Engineering#1,401 #503
- Artificial Intelligence#1,907 #1,219
- Aerospace Engineering#1,269 #591
- Physics and Astronomy#2,382 #1,145
- Social Sciences#14,680 #8,968
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Mitsubishi Electric (Japan) work in?
In 2022-now, 91% of research at Mitsubishi Electric (Japan) is in Physical Sciences, 5% in Social Sciences. Its largest fields are Engineering (59%), Computer Science (20%), Physics and Astronomy (5%). It does 2.3× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 25 fields, with their numbers
- Physical Sciences1,31991.4%
- Engineering84558.6%
- Computer Science29420.4%
- Physics and Astronomy745.2%
- Materials Science523.6%
- Environmental Science221.5%
- Earth and Planetary Sciences100.7%
- Energy60.4%
- Mathematics60.4%
- Chemistry50.3%
- Chemical Engineering40.3%
- Social Sciences704.8%
- Social Sciences271.9%
- Psychology130.9%
- Decision Sciences100.7%
- Arts and Humanities80.6%
- Business, Management and Accounting80.6%
- Economics, Econometrics and Finance30.2%
- Health Sciences322.2%
- Medicine251.8%
- Health Professions60.4%
- Nursing10.1%
- Veterinary00.0%
- Life Sciences221.5%
What does Mitsubishi Electric (Japan) specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 8.0× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 34.9 works8.0×
- Control and Systems EngineeringSubfield · 114.0 works7.3×
- Electrical and Electronic EngineeringSubfield · 370.5 works7.2×
- Aerospace EngineeringSubfield · 106.3 works6.3×
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: Engineering, 3.9×. Every wedge is a field page.
All 25 fields, with their numbers
- Engineering3.90×845 works
- Computer Science2.62×294 works
- Physics and Astronomy2.32×74 works
- Materials Science1.03×52 works
- Chemical Engineering0.84×4 works
- Decision Sciences0.75×10 works
- Energy0.47×6 works
- Earth and Planetary Sciences0.45×10 works
- Neuroscience0.38×9 works
- Mathematics0.35×6 works
- Environmental Science0.30×22 works
- Psychology0.29×13 works
- Chemistry0.21×5 works
- Arts and Humanities0.20×8 works
- Business, Management and Accounting0.17×8 works
- Health Professions0.15×6 works
- Nursing0.15×1 works
- Social Sciences0.15×27 works
- Biochemistry, Genetics and Molecular Biology0.11×8 works
- Economics, Econometrics and Finance0.10×3 works
- Medicine0.09×26 works
- Pharmacology, Toxicology and Pharmaceutics0.07×0 works
- Veterinary0.07×0 works
- Agricultural and Biological Sciences0.06×4 works
- Immunology and Microbiology0.01×0 works
- Engineering 3.9×
- Computer Science 2.6×
- Physics and Astronomy 2.3×
- Materials Science 1.0×
- Chemical Engineering 0.8×
- Decision Sciences 0.8×
- Energy 0.5×
- Earth and Planetary Sciences 0.5×
- Neuroscience 0.4×
- Mathematics 0.3×
- Environmental Science 0.3×
- Psychology 0.3×
- Chemistry 0.2×
- Arts and Humanities 0.2×
- Business, Management and Accounting 0.2×
- Health Professions 0.1×
- Nursing 0.1×
- Social Sciences 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Economics, Econometrics and Finance 0.1×
- Medicine 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Veterinary 0.1×
- Agricultural and Biological Sciences 0.1×
- Immunology and Microbiology 0.0×
Who are the top researchers at Mitsubishi Electric (Japan)?
Ranked on the quality score, Hiroki Ito, Takuma Nanjo and Akira Tsumura lead among researchers whose main affiliation is Mitsubishi Electric (Japan).
- 1
Hiroki Ito
Japan · #2,927,597 worldwide 4k citations · 258 works
- 2 Takuma Nanjo #3,829,877 worldwide 1.1k citations · 52 works
- 3
Akira Tsumura
Japan · #4,157,502 worldwide 2.5k citations · 35 works
- 4 Rintaro Haraguchi #4,199,929 worldwide 102 citations · 24 works
- 5
Hiroshi Koezuka
Japan · #4,224,181 worldwide 2.8k citations · 58 works
- 6
Kenichi Kuroda
Japan · #4,297,385 worldwide 7.2k citations · 291 works
- 7 Mikio Yamamuka #4,643,937 worldwide 1.1k citations · 54 works
- 8
Katsuyuki Takashima
Japan · #4,807,990 worldwide 3.6k citations · 83 works
- 9 Toshisada Mariyama #5,008,782 worldwide 187 citations · 40 works
- 10
Taisuke Furukawa
Japan · #5,027,213 worldwide 982 citations · 59 works
Which keywords describe research at Mitsubishi Electric (Japan)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Power Electronics, Thermal Management, Machine Learning, Integrated Circuits, Model Predictive Control and Energy Efficiency.
- Frequency Synthesizer
- Millimeter-Wave
- Permanent Magnet Machines
- Parameter Estimation
- Collision Avoidance
- Semiconductor Lasers
- Optical Modulators
- Control Systems
- Wide Bandgap Semiconductors
- Silicon Carbide
- Beamforming
- Nonlinear Systems
- Reliability
- Thermal Analysis
- High-Temperature Electronics
- Model Predictive Control
- Integrated Circuits
- Convolutional Neural Networks
- Power Electronics
- Machine Learning
- Deep Learning
- Neural Networks
- Energy Efficiency
- Thermal Management
- Optimization
- Artificial Neural Networks
- Biosensors
- Power Devices
- Wireless Sensor Networks
- Smart Grid
- Multi-Agent Systems
- IGBT Modules
- Autonomous Vehicles
- Signal Processing
- Induction Motors
- Raman Lasers
- Fault Diagnosis
- Electric Motor Drives
- Stability Analysis
- Silicon Photonics
Size is fractional works in 2022-now 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 Learning169▲ 3.4×70 topics
- Machine Learning85▲ 1.77×58 topics
- Neural Networks81▲ 3.7×31 topics
- Power Electronics49▲ 11×8 topics
- Energy Efficiency48▲ 3.6×31 topics
- Convolutional Neural Networks43▲ 4.1×14 topics
- Thermal Management40▲ 8.5×8 topics
- Integrated Circuits37▲ 18×3 topics
- Optimization34▲ 5.2×19 topics
- Model Predictive Control33▲ 9.0×6 topics
- Artificial Neural Networks29▲ 4.4×7 topics
- High-Temperature Electronics28▲ 33×2 topics
- Biosensors28▲ 3.9×9 topics
- Thermal Analysis28▲ 15×7 topics
- Power Devices27▲ 28×2 topics
- Reliability27▲ 25×3 topics
- Wireless Sensor Networks27▲ 4.1×15 topics
- Nonlinear Systems26▲ 8.3×6 topics
- Smart Grid26▲ 5.0×9 topics
- Beamforming26▲ 17×4 topics
- Multi-Agent Systems25▲ 9.0×5 topics
- Silicon Carbide24▲ 35×2 topics
- IGBT Modules24▲ 41×1 topic
- Wide Bandgap Semiconductors24▲ 41×1 topic
- Autonomous Vehicles24▲ 8.0×4 topics
- Control Systems24▲ 9.2×8 topics
- Signal Processing24▲ 12×7 topics
- Optical Modulators22▲ 11×3 topics
- Induction Motors21▲ 33×2 topics
- Semiconductor Lasers21▲ 21×2 topics
- Raman Lasers20▲ 13×2 topics
- Collision Avoidance20▲ 7.4×3 topics
- Fault Diagnosis19▲ 9.4×6 topics
- Parameter Estimation19▲ 10×6 topics
- Electric Motor Drives18▲ 33×1 topic
- Permanent Magnet Machines18▲ 33×1 topic
- Stability Analysis18▲ 8.1×5 topics
- Millimeter-Wave18▲ 34×2 topics
- Silicon Photonics18▲ 13×2 topics
- Frequency Synthesizer18▲ 32×2 topics
Which research topics does Mitsubishi Electric (Japan) publish most on?
By volume in 2022-now: Silicon Carbide Semiconductor Technologies, Electric Motor Design and Analysis, Photonic and Optical Devices and Radio Frequency Integrated Circuit Design.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Silicon Carbide Semiconductor Technologies Electrical and Electronic Engineering 24 works
- 2 Electric Motor Design and Analysis Electrical and Electronic Engineering 18 works
- 3 Photonic and Optical Devices Electrical and Electronic Engineering 18 works
- 4 Radio Frequency Integrated Circuit Design Electrical and Electronic Engineering 16 works
- 5 Semiconductor Lasers and Optical Devices Electrical and Electronic Engineering 16 works
- 6 Optical Network Technologies Electrical and Electronic Engineering 14 works
- 7 Electromagnetic Compatibility and Noise Suppression Electrical and Electronic Engineering 13 works
- 8 Advanced Control Systems Optimization Control and Systems Engineering 12 works
- 9 Speech and Audio Processing Signal Processing 12 works
- 10 High voltage insulation and dielectric phenomena Materials Chemistry 12 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: 40% of research is openly available.
World: 18% is written across borders.
How has Mitsubishi Electric (Japan)'s research output changed?
Output in 2022-2025 was 2% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Mitsubishi Electric (Japan) as a percentage of every work published that year, 0.0060% in 2024.
Fractional works of Mitsubishi Electric (Japan) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 10.6% in 2006.
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 have tabs of their own, above.
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