Satoshi Kondo

3.1k citations
77 papers · 1.3k indexed · h-index 16

Satoshi Kondo

63 papers receiving 1.3k citations

Peers

Satoshi Kondo
Comparison fields: 5 of 98
  • Hepatology 404
  • Surgery 765
  • Pulmonary and Respiratory Medicine 502
  • Oncology 338
  • Microbiology 8
Replace Jin Kyu Kang with:
Jin Kyu Kang South Korea
Yoshimasa Kurumi Japan
Shigeki Itoh Japan
Nicolas Michoux Belgium
Takayuki Yamada Japan
Christopher F. Beaulieu United States
Vincent Agnus France
Shigeyuki Naka Japan
Jimm Grimm United States
Yong Yin China
Satoshi Kondo relative to Jin Kyu Kang South Korea Jin Kyu Kang's profile →
Citations per field
00.5×2.6×
Jin Kyu Kang · 1×
Citations per year

Countries citing papers authored by Satoshi Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20240
5 20233
6 20230
7 20230
8 20121
9 20110
10 20100
11
Deveolement of SPRITE-SAT for TLE and TGF measurements
20080
12 20083
13
Development of the sprite and lightning imaging system onboard the SPRITE-SAT
20071
14 20077
15 20064
16 200543
17
A New Method of Direct Mode Motion Compensation in Multiple Picture Prediction
20041
18 200319
19 19985
20 19850

About Satoshi Kondo

Satoshi Kondo is a scholar working on Microbiology, Signal Processing and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Video Coding and Compression Technologies (10 papers), Image and Video Quality Assessment (6 papers), Gallbladder and Bile Duct Disorders (6 papers), Optical measurement and interference techniques (5 papers), Advanced Data Compression Techniques (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Hepatology (404 citations), Surgery (765 citations) and Pulmonary and Respiratory Medicine (502 citations). Satoshi Kondo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yuji Nimura, Hideo Yamamoto, Naokazu Hayakawa, Katsuhiko Uesaka, Junichi Kamiya, Masato Nagino, Yukoh Kin, Koji Oda, Tsuyoshi Sano and Masato Nagino. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Gastroenterology and Hepatology.

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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