Keiichi Abe

4.1k citations
114 papers · 2.4k · h-index 27

Impact in

Papers in

Keiichi Abe

106 papers receiving 2.3k citations

Peers

Keiichi Abe
Comparison fields: 5 of 165
  • Neurology 249
  • Computer Vision and Pattern Recognition 387
  • Behavioral Neuroscience 58
  • Computer Graphics and Computer-Aided Design 40
  • Molecular Biology 584
Replace Hiroshi Ōyama with:
Hiroshi Ōyama Japan
Henggui Zhang United Kingdom
Zesong Li China
Yongchao Li China
Yun Zhai China
Xiaotong Wang China
Shuyu Li China
Yoshio Ikeda Japan
Peng Deng China
Kelvin Wong United States
Keiichi Abe relative to Hiroshi Ōyama Japan Hiroshi Ōyama's profile →
Citations per field
00.5×3.2×
Hiroshi Ōyama · 1×
Citations per year

Countries citing papers authored by Keiichi Abe

Since Specialization
Citations

This map shows the geographic impact of Keiichi Abe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keiichi Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Abe more than expected).

Fields of papers citing papers by Keiichi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keiichi Abe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keiichi Abe. The network helps show where Keiichi Abe may publish in the future.

Co-authors

The 25 scholars most cited alongside Keiichi Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keiichi Abe Line = papers co-authored together Keiichi Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000242
2 1985153
3 1991118
4 2017118
5 1991118
6 1993116
7 1990106
8 200874
9 199264
10 199661
11 201356
12 201245
13 201944
14 202042
15 199442
16 198739
17 201337
18 201834
19 201634
20 202034

About Keiichi Abe

Keiichi Abe is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Physiology, Molecular Biology and Neurology, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Digital Image Processing Techniques (11 papers), Biochemical effects in animals (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image and Object Detection Techniques (8 papers), Image Processing and 3D Reconstruction (6 papers), Neurological disorders and treatments (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Neurology (249 citations), Computer Vision and Pattern Recognition (387 citations), Behavioral Neuroscience (58 citations), Computer Graphics and Computer-Aided Design (40 citations) and Molecular Biology (584 citations). Keiichi Abe has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Minoru Yoshida, Satoshi Suzuki, Sueharu Horinouchi, Teruhiko Beppu, Takeo Usui, Shinzo Oikawa, Masako Sugiyama, Kyoko Konishi, Sumio Asami and Takaomi Taira. Their work appears in journals such as Machine Vision and Applications, Pattern Recognition, PLoS ONE, The Journal of Antibiotics and Movement Disorders.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact