The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kenichi Kanatani sits on this spectrum.
This scientist: 272 publications — 68th percentile
68% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kenichi Kanatani sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kenichi Kanatani is affiliated with Okayama University in Japan and has contributed extensively to the fields of engineering, physics and astronomy, and computer science. Their research intersects multiple subfields such as astronomy and astrophysics, electrical and electronic engineering, computer vision and pattern recognition, control and systems engineering, and global and planetary change.
The scientist's main research topics include lightning and electromagnetic phenomena, electrical fault detection and protection, fire effects on ecosystems, image and object detection techniques, high voltage insulation and dielectric phenomena, power systems fault detection, and advanced vision and imaging.
Kanatani has published in several academic venues with recurring contributions to:
Some of the recent papers by Kanatani include:
Kanatani's collaboration network includes frequent co-authors such as Susumu Matsuura, Koji Michishita, Hirofumi Fujita, Hitoshi Sugimoto, and Kazuo Shinjo.
In addition to journal publications, Kanatani has authored a book published by Morgan & Claypool Publishers titled Linear Algebra for Pattern Processing (2021), which has also been cited in the academic community.
Recognition of Kanatani's contributions includes being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for work related to 3D computer vision analysis and computation.
Kenichi Kanatani
Kenichi Kanatani
Ken-ichi Kanatani
K. Kanatani
K. Kanatani
K. Kanatani
Kenichi Kanatani;Prasanna Rangarajan
Ken-ichi Kanatani;Tsai-Chia Chou
Naoya Ohta;Ken-ichi Kanatani
Kenichi Kanatani
Kenichi Kanatani
Shun-Ichi Amari;Kiyonori Yoshida;Ken-Ichi Kanatani
Kenichi Kanatani;Yasuyuki Sugaya;Hirotaka Niitsuma
Kenichi Kanatani
Kenichi Kanatani
Yasuyuki Sugaya;Kenichi Kanatani
Ken-Ichi Kanatani
Unknown
Ken-Ichi Kanatani
Ken-ichi Kanatani
K. Kanatani
K. Kanatani;N. Ohta
Kenichi Kanatani
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