Kazuhiro Kozuka

568 citations
38 papers · 369 indexed · h-index 8

Kazuhiro Kozuka

35 papers receiving 326 citations

Peers

Kazuhiro Kozuka
Comparison fields: 5 of 61
  • Media Technology 158
  • Computer Vision and Pattern Recognition 164
  • Human-Computer Interaction 38
  • Fluid Flow and Transfer Processes 37
  • Gastroenterology 31
Replace Akshat Jain with:
Akshat Jain India
Abdullah Bade Malaysia
Bruno Mirbach Luxembourg
Anca Morar Romania
Ji‐Sang Yoo South Korea
Christoph Bichlmeier Germany
S.J. Krotosky United States
Jingchun Cheng China
Alessandro Ledda Belgium
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Kazuhiro Kozuka relative to Akshat Jain India Akshat Jain's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kazuhiro Kozuka

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Kozuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20233
4 20232
5 20237
6 202211
7 20214
8 20215
9 20211
10 20211
11 20210
12 20201
13 20202
14 20181
15 20155
16 20141
17
A measurement of driver's behavior and a proposal of evaluation index of driver's concentration
20101
18
Detection of Driver Gaze Direction and Considerations on its Application to Glance Away Detection using Image Processing
20063
19 200214
20 19861

About Kazuhiro Kozuka

Kazuhiro Kozuka is a scholar working on Gastroenterology, Human-Computer Interaction and Fluid Flow and Transfer Processes, having authored 38 papers that have together received 369 indexed citations. Recurring topics across this work include Esophageal and GI Pathology (11 papers), Gastric Cancer Management and Outcomes (11 papers), Metastasis and carcinoma case studies (5 papers), Gaze Tracking and Assistive Technology (4 papers), Vehicle License Plate Recognition (4 papers), Human-Automation Interaction and Safety (4 papers), Advanced Combustion Engine Technologies (4 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). The work is most often cited by research in Media Technology (158 citations), Computer Vision and Pattern Recognition (164 citations) and Human-Computer Interaction (38 citations). Kazuhiro Kozuka has collaborated with scholars based in Japan and Switzerland. Frequent co-authors include Shin Yamamoto, Tomoki Naito, T. Tsukada, K. Yamada, Tomoaki Nakano, Tatsuo Ito, Noriko Nishiyama, Tatsuo Yachida, Naoya TADA and Hideki Kobara. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and SAE technical papers on CD-ROM/SAE technical paper series.

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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