Koichi Harada

1.7k citations
138 papers · 1.1k · h-index 17

Impact in

Papers in

Koichi Harada

128 papers receiving 982 citations

Peers

Koichi Harada
Comparison fields: 5 of 169
  • Computer Graphics and Computer-Aided Design 74
  • Speech and Hearing 65
  • Computer Vision and Pattern Recognition 194
  • Geology 50
  • Otorhinolaryngology 34
Replace Yaorong Ge with:
Yaorong Ge United States
Tsuyoshi Nakamura Japan
Weiping Shi United States
Michael Stingl Germany
Thomas Schultz Germany
Seiji Ishikawa Japan
Laurent Simon United States
Yingjie Yu China
Philippe Carré France
Timothy R. Spencer United States
Koichi Harada relative to Yaorong Ge United States Yaorong Ge's profile →
Citations per field
00.5×10×16.7×
Yaorong Ge · 1×
Citations per year

Countries citing papers authored by Koichi Harada

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011148
2 198653
3 200037
4 200336
5 200734
6 201732
7 201432
8 201030
9 201529
10 201024
11 198222
12 201420
13 199720
14 201018
15 199418
16
Connected Component Labeling Algorithms for Gray-Scale Images and Evaluation of Performance using Digital Mammograms
200818
17 202116
18 200815
19 201714
20 200214

About Koichi Harada

Koichi Harada is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 138 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Advanced Numerical Analysis Techniques (12 papers), Advanced Data Compression Techniques (10 papers), 3D Shape Modeling and Analysis (10 papers), Advanced Vision and Imaging (9 papers), Medical Image Segmentation Techniques (8 papers), Image and Signal Denoising Methods (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (74 citations), Speech and Hearing (65 citations), Computer Vision and Pattern Recognition (194 citations), Geology (50 citations) and Otorhinolaryngology (34 citations). Koichi Harada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Atsushi Ueda, Keiko Minamoto, Eihachiro Nakamae, Kamrul Hasan Talukder, Tomohiro Suetsuna, Xiaolong Xu, Tomoyuki Nishita, Yutaka Matsuo, Shoko Ohmori and Makoto Yamamoto. Their work appears in journals such as Environmental Health and Preventive Medicine, The Visual Computer, Journal of Applied Physics, Journal of the American Ceramic Society and Journal of High Energy Physics.

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