Koichi Hashimoto

4.0k citations
233 papers · 2.4k · h-index 24

Impact in

    • Image Processing Techniques and Applications
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Koichi Hashimoto

210 papers receiving 2.2k citations

Peers

Koichi Hashimoto
Comparison fields: 5 of 139
  • Media Technology 664
  • Aging 131
  • Computer Vision and Pattern Recognition 1.2k
  • Aerospace Engineering 633
  • Biophysics 134
Replace P. Hillman with:
P. Hillman Israel
Ryad Benosman France
Gabriel Brostow United Kingdom
John P. Cunningham United States
Erhardt Barth Germany
Jonathon Shlens United States
Heiko Neumann Germany
Shih‐Chii Liu Switzerland
Stéphane Viollet France
Viren Jain United States
Koichi Hashimoto relative to P. Hillman Israel P. Hillman's profile →
Citations per field
00.5×10×16.4×
P. Hillman · 1×
Citations per year

Countries citing papers authored by Koichi Hashimoto

Since Specialization
Citations

This map shows the geographic impact of Koichi Hashimoto'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 Koichi Hashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Hashimoto more than expected).

Fields of papers citing papers by Koichi Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichi Hashimoto. 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 Koichi Hashimoto. The network helps show where Koichi Hashimoto may publish in the future.

Co-authors

The 25 scholars most cited alongside Koichi Hashimoto, 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 Koichi Hashimoto Line = papers co-authored together Koichi Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002190
2 1993165
3 2004124
4 199697
5 200483
6 201971
7 200558
8 201650
9 200642
10 201741
11 200536
12 200235
13 200633
14 200433
15 201430
16 200230
17 200228
18 200726
19 198825
20 200824

About Koichi Hashimoto

Koichi Hashimoto is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 233 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (78 papers), Image Processing Techniques and Applications (52 papers), Robotics and Sensor-Based Localization (40 papers), Optical measurement and interference techniques (28 papers), CCD and CMOS Imaging Sensors (17 papers), Robot Manipulation and Learning (16 papers), Photoreceptor and optogenetics research (13 papers) and Cell Image Analysis Techniques (12 papers). The work is most often cited by research in Media Technology (664 citations), Aging (131 citations), Computer Vision and Pattern Recognition (1.2k citations), Aerospace Engineering (633 citations) and Biophysics (134 citations). Koichi Hashimoto has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Hidenori Kimura, Toshiro Noritsugu, Masatoshi Ishikawa, Takumi Ebine, Hiromasa Oku, Graziano Chesi, Naoko Ogawa, Shogo Arai, Domenico Prattichizzo and Antonio Vicino. Their work appears in journals such as Sensors, Advanced Robotics, IEEE Access, The International Journal of Robotics Research and Optics Express.

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.

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