Hitoshi Imaoka

498 citations
25 papers · 317 · h-index 8

Impact in

Papers in

Hitoshi Imaoka

20 papers receiving 305 citations

Peers

Hitoshi Imaoka
Comparison fields: 5 of 78
  • Health Informatics 19
  • Radiology, Nuclear Medicine and Imaging 115
  • Signal Processing 44
  • Oncology 105
  • Computer Vision and Pattern Recognition 55
Replace Bruno Korbar with:
Bruno Korbar United States
Hsuan-Ting Chang Taiwan
Yuki Shimahara Japan
Aaron Loh United States
Luis A. de Souza Brazil
Marek Wodziński Poland
Bingzhong Jing China
Rikke Rass Winkel Denmark
Silvia Delsanto Italy
Michael Gadermayr Austria
Hitoshi Imaoka relative to Bruno Korbar United States Bruno Korbar's profile →
Citations per field
00.5×1.5×2.3×
Bruno Korbar · 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 23 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019176
2 201629
3 202023
4 202312
5 202211
6 202111
7 199710
8 20238
9 20217
10 20017
11 20204
12 20224
13 20044
14 20222
15 20172
16 19962
17 20022
18
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
20001
19 20101
20 20151

About Hitoshi Imaoka

Hitoshi Imaoka is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 317 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (10 papers), Biometric Identification and Security (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), ECG Monitoring and Analysis (2 papers), Image Retrieval and Classification Techniques (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Signal Processing (44 citations), Oncology (105 citations) and Computer Vision and Pattern Recognition (55 citations). Hitoshi Imaoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ryuji Hamamoto, Masayoshi Yamada, Yutaka Saito, Hiroko Kondo, Aya Kuchiba, Hiroyuki Takamaru, Taro Shibata, Taku Sakamoto, Jun Sese and Makoto Takamoto. Their work appears in journals such as Neural Computation, IEEE Journal of Biomedical and Health Informatics, Machine Vision and Applications, Scientific Reports and Physica A Statistical Mechanics and its Applications.

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