Tsuyoshi Nakamura

398 total papers · 2.3k total citations
220 papers, 1.6k citations indexed

About

Tsuyoshi Nakamura is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Tsuyoshi Nakamura has authored 220 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 24 papers in Control and Systems Engineering and 23 papers in Social Psychology. Recurrent topics in Tsuyoshi Nakamura's work include Social Robot Interaction and HRI (16 papers), Robotics and Automated Systems (14 papers) and Clinical Nutrition and Gastroenterology (12 papers). Tsuyoshi Nakamura is often cited by papers focused on Social Robot Interaction and HRI (16 papers), Robotics and Automated Systems (14 papers) and Clinical Nutrition and Gastroenterology (12 papers). Tsuyoshi Nakamura collaborates with scholars based in Japan, United States and China. Tsuyoshi Nakamura's co-authors include Zheng Chen, Masayoshi Kanoh, Hidenori Itoh, Kouhei Akazawa, K. C. Nicolaou, Lifeng He, Masachika Senba, Yuko Y. Palesch, Thomas Baker and M. Mine and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Tsuyoshi Nakamura

189 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Tsuyoshi Nakamura 193 179 175 158 132 220 1.6k
Masaya Tanaka 154 0.8× 320 1.8× 235 1.3× 141 0.9× 59 0.4× 103 1.6k
Yun Mao 356 1.8× 116 0.6× 128 0.7× 97 0.6× 93 0.7× 122 2.0k
H. Wang 403 2.1× 135 0.8× 108 0.6× 209 1.3× 85 0.6× 143 1.9k
Jinfeng Xu 322 1.7× 412 2.3× 196 1.1× 70 0.4× 171 1.3× 163 2.4k
Junlin Zhang 404 2.1× 101 0.6× 100 0.6× 103 0.7× 75 0.6× 122 1.7k
Jing Zhang 165 0.9× 111 0.6× 126 0.7× 51 0.3× 261 2.0× 153 1.8k
Takahiro Inoue 704 3.6× 238 1.3× 220 1.3× 221 1.4× 110 0.8× 182 1.8k
Saurabh Jain 120 0.6× 220 1.2× 143 0.8× 68 0.4× 362 2.7× 137 1.8k
Yong Yang 298 1.5× 113 0.6× 185 1.1× 342 2.2× 166 1.3× 234 2.0k
Shuai Ma 427 2.2× 190 1.1× 59 0.3× 172 1.1× 55 0.4× 134 1.8k

Countries citing papers authored by Tsuyoshi Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Nakamura

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