S. Kagami

3.1k citations
96 papers · 2.5k · h-index 27

Impact in

Papers in

S. Kagami

93 papers receiving 2.4k citations

Peers

S. Kagami
Comparison fields: 5 of 74
  • Control and Systems Engineering 1.1k
  • Computer Vision and Pattern Recognition 922
  • Biomedical Engineering 1.8k
  • Aerospace Engineering 483
  • Signal Processing 163
Replace Satoshi Kagami with:
Satoshi Kagami Japan
Philippe Souères France
Bum-Jae You South Korea
Siyuan Feng United States
Péter Fankhauser Switzerland
Mrinal Kalakrishnan United States
Tsutomu Hasegawa Japan
G. Hirzinger Germany
Shin’ichiro Nakaoka Japan
Michael Gienger Germany
S. Kagami relative to Satoshi Kagami Japan Satoshi Kagami's profile →
Citations per field
00.5×1.5×
Satoshi Kagami · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003217
2 2002172
3 2002160
4 2002111
5 2003109
6 2002108
7 2002102
8 200383
9 200482
10 200678
11 200970
12 200362
13 200261
14 200259
15 200547
16 200241
17 200639
18 200438
19 200636
20 200335

About S. Kagami

S. Kagami is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering, Control and Systems Engineering and Signal Processing, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (32 papers), Robotics and Sensor-Based Localization (23 papers), Advanced Vision and Imaging (18 papers), Robotic Path Planning Algorithms (16 papers), Speech and Audio Processing (13 papers), CCD and CMOS Imaging Sensors (10 papers), Robot Manipulation and Learning (9 papers) and Advanced Adaptive Filtering Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (922 citations), Biomedical Engineering (1.8k citations), Aerospace Engineering (483 citations) and Signal Processing (163 citations). S. Kagami has collaborated with scholars based in Japan and United States. Frequent co-authors include Keiji Nishiwaki, Hiroyuki Inoue, Masayuki Inaba, James Kuffner, Makoto Inaba, Yasuo Kuniyoshi, H. Inoue, Tomomichi Sugihara, Fumio Kanehiro and Simon Thompson. Their work appears in journals such as Springer tracts in advanced robotics, IEEE Transactions on Consumer Electronics, The International Journal of Robotics Research, Institutional Repositories DataBase (IRDB) and Society of Instrument and Control Engineers of Japan.

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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