Koichi Sato

1.1k total citations
22 papers, 341 citations indexed

About

Koichi Sato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Koichi Sato has authored 22 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Koichi Sato's work include Advanced Vision and Imaging (5 papers), Video Surveillance and Tracking Methods (5 papers) and Memory Processes and Influences (3 papers). Koichi Sato is often cited by papers focused on Advanced Vision and Imaging (5 papers), Video Surveillance and Tracking Methods (5 papers) and Memory Processes and Influences (3 papers). Koichi Sato collaborates with scholars based in Japan, United States and China. Koichi Sato's co-authors include J.K. Aggarwal, Junbo Wang, Zixue Cheng, Ruiyun Yu, Brian L. Evans, Koichi Takeuchi, Kouhei Ishikawa, Jie Wu, Ken Ono and Kei Jitsuiki and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and Progress of Theoretical Physics.

In The Last Decade

Koichi Sato

20 papers receiving 312 citations

Peers

Koichi Sato
Comparison fields: 5 of 80
  • Artificial Intelligence 172
  • Computer Vision and Pattern Recognition 99
  • Information Systems 53
  • Sociology and Political Science 32
  • Education 23
Replace Alice Toniolo with:
Alice Toniolo United Kingdom
Sébastien Paquet Canada
Rohana Mahmud Malaysia
Sherif Abdou Egypt
Xinhuan Shu China
Virach Sornlertlamvanich Thailand
Stewart Massie United Kingdom
Martin Popel Czechia
Preetam Maloor United States
Alice Toniolo United Kingdom View profile →
Citations per field, relative to Koichi Sato
Koichi Sato · 1×
Citations per year, relative to Koichi Sato
Koichi Sato · 1×

Countries citing papers authored by Koichi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Sato. A scholar is included among the top collaborators of Koichi Sato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koichi Sato. Koichi Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 7
3 3
4 6
5
Terminology-driven Augmentation of Bilingual Terminologies
4
6 2
7 0
8 16
9 3
10 7
11 5
12 49
13 3
14
Improving Our Students' Speaking Skills: Using Selective Error Correction and Group Work To Reduce Anxiety and Encourage Real Communication.
22
15 26
16 1
17 3
18 2
19 0
20 1

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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