Hitoshi Imaoka

525 citations
26 papers · 375 · h-index 8

Impact in

Papers in

Hitoshi Imaoka

22 papers receiving 361 citations

Peers

Hitoshi Imaoka
Comparison fields: 5 of 80
  • Health Informatics 21
  • Radiology, Nuclear Medicine and Imaging 113
  • Oncology 120
  • Signal Processing 48
  • Gastroenterology 14
Replace Hsuan-Ting Chang with:
Hsuan-Ting Chang Taiwan
Bruno Korbar United States
Meilu Zhu Hong Kong
Tahir Mahmood South Korea
Luis Bote-Curiel Spain
Georg Wimmer Austria
Aaron Loh United States
Pia H. Smedsrud Norway
Pranjal Sahu United States
Gabriel Maicas Australia
Hitoshi Imaoka relative to Hsuan-Ting Chang Taiwan Hsuan-Ting Chang's profile →
Citations per field
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Hsuan-Ting Chang · 1×
Citations per year

Countries citing papers authored by Hitoshi Imaoka

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Imaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Hitoshi Imaoka, 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 Hitoshi Imaoka Line = papers co-authored together Hitoshi Imaoka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019208
2 201629
3 202028
4 202315
5 202114
6 202212
7 202312
8 199711
9 20017
10 20047
11 20217
12 20205
13 20225
14 20223
15 19962
16 20022
17 20172
18 20212
19
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
20001
20 20101

About Hitoshi Imaoka

Hitoshi Imaoka is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Condensed Matter Physics, having authored 26 papers that have together received 375 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (11 papers), Biometric Identification and Security (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Oncology (120 citations), Signal Processing (48 citations) and Gastroenterology (14 citations). Hitoshi Imaoka has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Taku Sakamoto, Taro Shibata, Masayoshi Yamada, Yutaka Saito, Hiroko X. KONDO, Hiroyuki Takamaru, Aya Kuchiba, Ryuji Hamamoto, Jun Sese and Makoto Takamoto. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Machine Vision and Applications, Neural Computation, Journal of Gastroenterology and Scientific Reports.

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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