Shigeki Nakaura

81 total papers · 539 total citations
54 papers, 394 citations indexed

About

Shigeki Nakaura is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shigeki Nakaura has authored 54 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Control and Systems Engineering, 28 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shigeki Nakaura's work include Control and Dynamics of Mobile Robots (24 papers), Robotic Locomotion and Control (24 papers) and Adaptive Control of Nonlinear Systems (14 papers). Shigeki Nakaura is often cited by papers focused on Control and Dynamics of Mobile Robots (24 papers), Robotic Locomotion and Control (24 papers) and Adaptive Control of Nonlinear Systems (14 papers). Shigeki Nakaura collaborates with scholars based in Japan, Germany and Russia. Shigeki Nakaura's co-authors include Mitsuji Sampei, Hisashi DATE, Toshikazu Shimizu, Yohei Takahashi, Kazuma Sekiguchi, Akiko Takahashi, Daisuke Nakayama, J SOHN, Atsushi Takahashi and Hitoshi TOKURA and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, Advanced Robotics and Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit.

In The Last Decade

Shigeki Nakaura

50 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Shigeki Nakaura 237 227 107 49 43 54 394
Pranav A. Bhounsule 132 0.6× 319 1.4× 61 0.6× 82 1.7× 35 0.8× 57 421
Haitham El-Hussieny 163 0.7× 214 0.9× 105 1.0× 57 1.2× 14 0.3× 52 386
Ľubica Miková 141 0.6× 164 0.7× 132 1.2× 35 0.7× 18 0.4× 75 375
Katsuyoshi Tsujita 183 0.8× 340 1.5× 80 0.7× 142 2.9× 19 0.4× 46 445
Yilun Sun 186 0.8× 253 1.1× 110 1.0× 28 0.6× 46 1.1× 40 408
Tae-Yong Choi 194 0.8× 240 1.1× 120 1.1× 31 0.6× 15 0.3× 78 435
Xueshan Gao 229 1.0× 219 1.0× 94 0.9× 36 0.7× 13 0.3× 57 433
Ahmed Abo-Ismail 190 0.8× 140 0.6× 62 0.6× 56 1.1× 16 0.4× 34 338
Yang Zhang 205 0.9× 88 0.4× 120 1.1× 27 0.6× 35 0.8× 44 388
R. Prasanth Kumar 200 0.8× 158 0.7× 59 0.6× 49 1.0× 18 0.4× 38 365

Countries citing papers authored by Shigeki Nakaura

Since Specialization
Citations

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

Fields of papers citing papers by Shigeki Nakaura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeki Nakaura

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Nakaura. A scholar is included among the top collaborators of Shigeki Nakaura 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 Shigeki Nakaura. Shigeki Nakaura 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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2026