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Researcher · Fujitsu (United States) · United States

Koichiro Niinuma

Koichiro Niinuma publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Face recognition and analysis, Multimodal Machine Learning Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-8367-3988 OpenAlex
World rank
#924,322
of 7,710,434 ranked researchers
Rank in United States
#304,143
of 1,627,098
Works
48
Citations
543
Citations per work
11.3
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Koichiro Niinuma

What does Koichiro Niinuma research?

Koichiro Niinuma's work is mostly in Computer Science (55%), Engineering (4%), Environmental Science (4%).

Physical Sciences: 30 works · 62.7% of their workComputer Science: 26 works · 54.7% of their workComputer Vision and Pattern Recognition: 20 works · 42.3% of their workArtificial Intelligence: 4 works · 8.8% of their workSignal Processing: 2 works · 3.6% of their workEngineering: 2 works · 4.4% of their workControl and Systems Engineering: 2 works · 4.4% of their workEnvironmental Science: 2 works · 3.6% of their workEnvironmental Engineering: 2 works · 3.6% of their workEverything else: 16 works · 33.7% of their workSocial Sciences: 2 works · 3.6% of their workPsychology: 2 works · 3.6% of their workExperimental and Cognitive Psychology: 2 works · 3.6% of their workTHEIR WORKKoichiro Niinuma48works
Physical Sciences63%Social Sciences4%

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 Science2654.7%
    2. Engineering24.4%
    3. Environmental Science23.6%
  2. Everything else1633.7%
    1. Psychology23.6%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Control and Systems Engineering4% of their works
  4. 4Signal Processing4% of their works
  5. 5Experimental and Cognitive Psychology4% of their works
  6. 6Environmental Engineering4% of their works

Research topics

Which keywords describe Koichiro Niinuma's research?

The keywords of their largest research topics: Deep Learning, Pose Estimation, Face Recognition, Neural Networks, Age Estimation, Facial Landmark Detection, Image Captioning and Visual Question Answering.

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 20 words, with their numbers
  1. Deep Learning355 topics
  2. Pose Estimation162 topics
  3. Face Recognition152 topics
  4. Neural Networks132 topics
  5. Age Estimation101 topic
  6. Facial Landmark Detection101 topic
  7. Image Captioning71 topic
  8. Visual Question Answering71 topic
  9. Action Recognition61 topic
  10. Content-Based Retrieval61 topic
  11. Feature Matching61 topic
  12. Generative Adversarial Networks61 topic
  13. Image Synthesis61 topic
  14. Local Descriptors61 topic
  15. Spatiotemporal Features61 topic
  16. Video Summarization61 topic
  17. Dimensionality Reduction51 topic
  18. Feature Selection51 topic
  19. Forest Carbon Stocks51 topic
  20. Lidar Remote Sensing51 topic

Where does Koichiro Niinuma work?

Koichiro Niinuma's main affiliation in the publication record is Fujitsu (United States), United States.

How many publications and citations does Koichiro Niinuma have?

OpenAlex counts 48 works and 543 citations for Koichiro Niinuma, an h-index of 11, ranking #924,322 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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