Shigeyuki Sakane
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- Advanced Vision and Imaging 14
- Robotic Path Planning Algorithms 9
- Human-Computer Interaction top 5%
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 16
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- Robot Manipulation and Learning 13
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- Target Tracking and Data Fusion in Sensor Networks 8
- Bayesian Modeling and Causal Inference 6
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- Teleoperation and Haptic Systems 7
- Modular Robots and Swarm Intelligence 5
- Co-authors
- M. KakikuraNobuyuki KitaTakehiro SatoEiichi ŌnoMasaru IshiiTomomasa SatoS. RougeauxYasuo Kuniyoshi
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Graphics and Computer-Aided Design
In The Last Decade
Shigeyuki Sakane
44 papers receiving 489 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 326
- Human-Computer Interaction 64
- Computer Graphics and Computer-Aided Design 28
- Aerospace Engineering 195
- Control and Systems Engineering 164
Countries citing papers authored by Shigeyuki Sakane
This map shows the geographic impact of Shigeyuki Sakane'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 Shigeyuki Sakane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeyuki Sakane more than expected).
Fields of papers citing papers by Shigeyuki Sakane
This network shows the impact of papers produced by Shigeyuki Sakane. 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 Shigeyuki Sakane. The network helps show where Shigeyuki Sakane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeyuki Sakane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 5 | |
| 2 | 2006 | 32 | |
| 3 | 2005 | 5 | |
| 4 | 2005 | 3 | |
| 5 | 2003 | 7 | |
| 6 | 2003 | 0 | |
| 7 | 2002 | 7 | |
| 8 | 2001 | 1 | |
| 9 | 1998 | 10 | |
| 10 | 1998 | 3 | |
| 11 | 1997 | 15 | |
| 12 | Decentralized and Cooperative Robot Systems | 1995 | 0 |
| 13 | 1995 | 3 | |
| 14 | 1995 | 5 | |
| 15 | Thorough ZDF-Based Localization for Binocular Tracking | 1994 | 3 |
| 16 | 1992 | 0 | |
| 17 | 1990 | 1 | |
| 18 | 1988 | 3 | |
| 19 | 1986 | 1 | |
| 20 | 1985 | 1 |
About Shigeyuki Sakane
Shigeyuki Sakane is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 50 papers that have together received 556 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (16 papers), Advanced Vision and Imaging (14 papers), Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (9 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Teleoperation and Haptic Systems (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Human-Computer Interaction (64 citations) and Computer Graphics and Computer-Aided Design (28 citations). Shigeyuki Sakane has collaborated with scholars based in Japan, Poland and France. Frequent co-authors include M. Kakikura, Nobuyuki Kita, Takehiro Sato, Eiichi Ōno, Masaru Ishii, Tomomasa Sato, S. Rougeaux, Yasuo Kuniyoshi, Ken Ito and Yoshiaki Shirai. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Computer Vision and Image Understanding.
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.