Takashi Suehiro

229 total papers · 3.3k total citations
147 papers, 1.7k citations indexed

About

Takashi Suehiro is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Takashi Suehiro has authored 147 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Control and Systems Engineering, 43 papers in Computer Vision and Pattern Recognition and 42 papers in Mechanical Engineering. Recurrent topics in Takashi Suehiro's work include Robot Manipulation and Learning (62 papers), Robotic Path Planning Algorithms (33 papers) and Robotic Mechanisms and Dynamics (28 papers). Takashi Suehiro is often cited by papers focused on Robot Manipulation and Learning (62 papers), Robotic Path Planning Algorithms (33 papers) and Robotic Mechanisms and Dynamics (28 papers). Takashi Suehiro collaborates with scholars based in Japan, Poland and United States. Takashi Suehiro's co-authors include K. Kitagaki, Katsushi Ikeuchi, Woo-Keun Yoon, Noriaki Ando, Tetsuo Kotoku, Shunsuke Kudoh, Kunikatsu Takase, K. Takase, Tsutomu Hasegawa and Tetsuo Tomizawa and has published in prestigious journals such as Scientific Reports, Neural Networks and IEEE Transactions on Robotics and Automation.

In The Last Decade

Takashi Suehiro

131 papers receiving 1.5k citations

Hit Papers

RT-middleware: distribute... 2005 2026 2012 2019 2005 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Takashi Suehiro 1.1k 550 470 314 212 147 1.7k
Carlo Alberto Avizzano 454 0.4× 648 1.2× 391 0.8× 550 1.8× 242 1.1× 161 2.2k
Andrea Cherubini 896 0.8× 318 0.6× 568 1.2× 694 2.2× 279 1.3× 87 2.2k
Dominik Henrich 718 0.6× 266 0.5× 511 1.1× 300 1.0× 197 0.9× 126 1.3k
Estela Bicho 460 0.4× 188 0.3× 356 0.8× 284 0.9× 147 0.7× 110 1.5k
Nicola Pedrocchi 1.1k 1.0× 517 0.9× 289 0.6× 671 2.1× 84 0.4× 119 1.8k
Yingbai Hu 843 0.8× 283 0.5× 423 0.9× 724 2.3× 147 0.7× 65 1.8k
Venkat Krovi 952 0.9× 397 0.7× 404 0.9× 887 2.8× 65 0.3× 179 1.9k
Shahram Payandeh 666 0.6× 584 1.1× 562 1.2× 774 2.5× 135 0.6× 205 1.8k
Sang–Rok Oh 1.3k 1.2× 522 0.9× 444 0.9× 964 3.1× 203 1.0× 219 2.2k
Pinhas Ben‐Tzvi 915 0.8× 692 1.3× 333 0.7× 1.4k 4.6× 334 1.6× 150 2.3k

Countries citing papers authored by Takashi Suehiro

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Suehiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Suehiro

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Suehiro. A scholar is included among the top collaborators of Takashi Suehiro 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 Takashi Suehiro. Takashi Suehiro 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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