S. Kagami

124 total papers · 3.2k total citations
99 papers, 2.3k citations indexed

About

S. Kagami is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, S. Kagami has authored 99 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 41 papers in Biomedical Engineering and 29 papers in Aerospace Engineering. Recurrent topics in S. Kagami's work include Robotic Locomotion and Control (33 papers), Robotics and Sensor-Based Localization (24 papers) and Advanced Vision and Imaging (18 papers). S. Kagami is often cited by papers focused on Robotic Locomotion and Control (33 papers), Robotics and Sensor-Based Localization (24 papers) and Advanced Vision and Imaging (18 papers). S. Kagami collaborates with scholars based in Japan, United States and Canada. S. Kagami's co-authors include Keiji Nishiwaki, H. Inoue, Masayuki Inaba, James Kuffner, Makoto Inaba, Yasuo Kuniyoshi, H. Inoue, Tomomichi Sugihara, Fumio Kanehiro and Simon Thompson and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Consumer Electronics and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

In The Last Decade

S. Kagami

96 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Kagami 1.6k 966 846 475 236 99 2.3k
Satoshi Kagami 1.3k 0.8× 883 0.9× 884 1.0× 406 0.9× 177 0.8× 115 2.0k
Philippe Souères 588 0.4× 1.1k 1.1× 917 1.1× 838 1.8× 118 0.5× 98 2.1k
Jianyi Kong 825 0.5× 664 0.7× 990 1.2× 233 0.5× 368 1.6× 113 2.9k
Ville Kyrki 600 0.4× 1.1k 1.1× 1.0k 1.2× 338 0.7× 304 1.3× 167 2.6k
Paul Oh 605 0.4× 1.3k 1.4× 1.5k 1.7× 1.3k 2.8× 385 1.6× 183 3.0k
Ryo Kurazume 787 0.5× 536 0.6× 1.2k 1.4× 916 1.9× 274 1.2× 246 2.6k
Tsutomu Hasegawa 505 0.3× 709 0.7× 639 0.8× 382 0.8× 273 1.2× 195 1.5k
Chen Wang 430 0.3× 692 0.7× 732 0.9× 431 0.9× 85 0.4× 71 2.0k
Yangsheng Xu 420 0.3× 1.1k 1.2× 460 0.5× 279 0.6× 361 1.5× 79 2.1k
U-Xuan Tan 828 0.5× 535 0.6× 195 0.2× 381 0.8× 303 1.3× 140 2.2k

Countries citing papers authored by S. Kagami

Since Specialization
Citations

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

Fields of papers citing papers by S. Kagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kagami

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kagami. A scholar is included among the top collaborators of S. Kagami 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 S. Kagami. S. Kagami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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