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Researcher · Toyohashi University of Technology · Japan

Shigemichi Matsuzaki

Shigemichi Matsuzaki publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Robotics and Sensor-Based Localization, Advanced Image and Video Retrieval Techniques and Smart Agriculture and AI.

ORCID 0000-0002-4795-6005 OpenAlex
World rank
#4,666,261
of 7,710,434 ranked researchers
Rank in Japan
#139,265
of 383,136
Works
25
Citations
99
Citations per work
4.0
h-index
5
i10-index 4Top 87% in Computer Vision and Pattern Recognition
Shigemichi Matsuzaki

What does Shigemichi Matsuzaki research?

Shigemichi Matsuzaki's work is mostly in Computer Science (45%), Engineering (14%), Agricultural and Biological Sciences (11%).

Physical Sciences: 16 works · 63.0% of their workComputer Science: 11 works · 45.2% of their workComputer Vision and Pattern Recognition: 8 works · 31.5% of their workArtificial Intelligence: 3 works · 13.7% of their workEngineering: 3 works · 13.7% of their workAerospace Engineering: 3 works · 13.7% of their workEnvironmental Science: 1 works · 4.1% of their workEnvironmental Engineering: 1 works · 4.1% of their workEverything else: 5 works · 20.5% of their workLife Sciences: 3 works · 11.0% of their workAgricultural and Biological Sciences: 3 works · 11.0% of their workPlant Science: 3 works · 11.0% of their workSocial Sciences: 1 works · 5.5% of their workSocial Sciences: 1 works · 5.5% of their workGeography, Planning and Development: 1 works · 5.5% of their workTHEIR WORKShigemichiMatsuzaki25works
Life Sciences11%Physical Sciences63%Social Sciences6%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1145.2%
    2. Engineering313.7%
    3. Environmental Science14.1%
  2. Everything else520.5%
    1. Agricultural and Biological Sciences311.0%
    1. Social Sciences15.5%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Aerospace Engineering14% of their works
  4. 4Plant Science11% of their works
  5. 5Geography, Planning and Development6% of their works
  6. 6Environmental Engineering4% of their works

Research topics

Which keywords describe Shigemichi Matsuzaki's research?

The keywords of their largest research topics: Deep Learning, 3D Mapping, SLAM, Feature Matching, Local Descriptors, Plant Disease Detection, Smart Farming and Domain Adaptation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Deep Learning204 topics
  2. 3D Mapping101 topic
  3. SLAM101 topic
  4. Feature Matching81 topic
  5. Local Descriptors81 topic
  6. Plant Disease Detection61 topic
  7. Smart Farming61 topic
  8. Domain Adaptation41 topic
  9. Transfer Learning41 topic
  10. Convolutional Neural Networks31 topic
  11. Forest Carbon Stocks31 topic
  12. Image Captioning31 topic
  13. Image Recognition31 topic
  14. Lidar Remote Sensing31 topic
  15. Optimal Motion Planning31 topic
  16. Sampling-Based Algorithms31 topic
  17. Visual Question Answering31 topic

Where does Shigemichi Matsuzaki work?

Shigemichi Matsuzaki's main affiliation in the publication record is Toyohashi University of Technology, Japan.

How many publications and citations does Shigemichi Matsuzaki have?

OpenAlex counts 25 works and 99 citations for Shigemichi Matsuzaki, an h-index of 5, ranking #4,666,261 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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