Toki Migimatsu

25 total papers · 829 total citations
12 papers, 239 citations indexed

About

Toki Migimatsu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Toki Migimatsu has authored 12 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Toki Migimatsu's work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Multimodal Machine Learning Applications (4 papers). Toki Migimatsu is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Multimodal Machine Learning Applications (4 papers). Toki Migimatsu collaborates with scholars based in United States, China and Canada. Toki Migimatsu's co-authors include Jeannette Bohg, Christopher Agia, Marco Pavone, Kevin Lin, Lin Shao, Qiang Zhang, Kaiyuan Yang, Brent Yi, Jiajun Wu and Stefan Schaal and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Toki Migimatsu

12 papers receiving 230 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Toki Migimatsu 120 113 95 26 22 12 239
Rika Antonova 110 0.9× 117 1.0× 104 1.1× 23 0.9× 32 1.5× 14 278
Zhenjia Xu 113 0.9× 60 0.5× 80 0.8× 21 0.8× 29 1.3× 12 226
Ishika Singh 83 0.7× 163 1.4× 108 1.1× 23 0.9× 16 0.7× 7 290
Christopher Agia 70 0.6× 118 1.0× 95 1.0× 16 0.6× 18 0.8× 10 256
Alberto Olivares‐Alarcos 97 0.8× 106 0.9× 35 0.4× 51 2.0× 48 2.2× 14 242
S. Reza Ahmadzadeh 159 1.3× 95 0.8× 67 0.7× 12 0.5× 26 1.2× 24 230
Tim Niemueller 79 0.7× 88 0.8× 63 0.7× 17 0.7× 25 1.1× 12 187
Rogerio Bonatti 87 0.7× 142 1.3× 146 1.5× 17 0.7× 11 0.5× 12 310
Viktor Makoviychuk 194 1.6× 59 0.5× 83 0.9× 15 0.6× 32 1.5× 10 257
Linxi Fan 73 0.6× 103 0.9× 122 1.3× 9 0.3× 17 0.8× 10 236

Countries citing papers authored by Toki Migimatsu

Since Specialization
Citations

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

Fields of papers citing papers by Toki Migimatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toki Migimatsu

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