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Researcher · Fujitsu (Japan) · Japan

Shigemi Nagata

Shigemi Nagata publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Neural Networks and Applications, Image Retrieval and Classification Techniques and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#2,320,072
of 7,710,434 ranked researchers
Rank in Japan
#45,311
of 383,136
Works
52
Citations
749
Citations per work
14.4
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Shigemi Nagata

What does Shigemi Nagata research?

Shigemi Nagata's work is mostly in Computer Science (65%), Engineering (19%).

Physical Sciences: 43 works · 83.6% of their workComputer Science: 34 works · 65.0% of their workComputer Vision and Pattern Recognition: 19 works · 37.1% of their workArtificial Intelligence: 13 works · 24.3% of their workSignal Processing: 2 works · 3.6% of their workEngineering: 10 works · 18.6% of their workControl and Systems Engineering: 5 works · 9.3% of their workAerospace Engineering: 3 works · 6.4% of their workComputational Mechanics: 2 works · 2.9% of their workEverything else: 9 works · 16.4% of their workTHEIR WORKShigemi Nagata52works
Physical Sciences84%

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 Science3465.0%
    2. Engineering1018.6%
  2. Everything else916.4%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Control and Systems Engineering9% of their works
  4. 4Aerospace Engineering6% of their works
  5. 5Signal Processing4% of their works
  6. 6Computational Mechanics3% of their works

Research topics

Which keywords describe Shigemi Nagata's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Self-Organizing Maps, Content-Based Image Retrieval, Shape Matching, Feature Matching and Local Descriptors.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Deep Learning262 topics
  2. Machine Learning202 topics
  3. Neural Networks141 topic
  4. Self-Organizing Maps141 topic
  5. Content-Based Image Retrieval131 topic
  6. Shape Matching131 topic
  7. Feature Matching121 topic
  8. Local Descriptors121 topic
  9. 3D Mapping91 topic
  10. SLAM91 topic
  11. Fragmented Objects71 topic
  12. Fuzzy Logic Systems71 topic
  13. Reconstruction71 topic
  14. Type-2 Fuzzy Sets71 topic
  15. Depth Estimation51 topic
  16. Optimal Motion Planning51 topic
  17. Sampling-Based Algorithms51 topic
  18. Stereo Vision51 topic

Where does Shigemi Nagata work?

Shigemi Nagata's main affiliation in the publication record is Fujitsu (Japan), Japan.

How many publications and citations does Shigemi Nagata have?

OpenAlex counts 52 works and 749 citations for Shigemi Nagata, an h-index of 9, ranking #2,320,072 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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