Hikaru Inooka

345 total papers · 2.3k total citations
206 papers, 1.7k citations indexed

About

Hikaru Inooka is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Hikaru Inooka has authored 206 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Control and Systems Engineering, 53 papers in Biomedical Engineering and 51 papers in Mechanical Engineering. Recurrent topics in Hikaru Inooka's work include Robot Manipulation and Learning (34 papers), Muscle activation and electromyography studies (23 papers) and Iterative Learning Control Systems (22 papers). Hikaru Inooka is often cited by papers focused on Robot Manipulation and Learning (34 papers), Muscle activation and electromyography studies (23 papers) and Iterative Learning Control Systems (22 papers). Hikaru Inooka collaborates with scholars based in Japan, Pakistan and South Korea. Hikaru Inooka's co-authors include Ryojun Ikeura, Koichi Sagawa, Tadashi Ishihara, Muhammad Arif, Goro Obinata, Ryoichi Nagatomi, Mohammad Fard, Feng Wang, Kohtaro Ohba and Il-Hwan Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Hikaru Inooka

195 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Hikaru Inooka 832 645 392 319 183 206 1.7k
Lorenzo Molinari Tosatti 926 1.1× 976 1.5× 528 1.3× 251 0.8× 112 0.6× 132 2.0k
Takamitsu Matsubara 885 1.1× 992 1.5× 217 0.6× 273 0.9× 78 0.4× 147 1.9k
Christian Smith 871 1.0× 617 1.0× 383 1.0× 156 0.5× 177 1.0× 91 1.9k
Andrea Cherubini 896 1.1× 694 1.1× 318 0.8× 403 1.3× 194 1.1× 87 2.2k
Gentiane Venture 770 0.9× 981 1.5× 230 0.6× 200 0.6× 446 2.4× 189 2.3k
Toshiaki Tsuji 1.1k 1.4× 779 1.2× 973 2.5× 270 0.8× 148 0.8× 241 2.4k
D.W. Repperger 436 0.5× 956 1.5× 380 1.0× 424 1.3× 232 1.3× 149 2.0k
Goro Obinata 488 0.6× 519 0.8× 133 0.3× 320 1.0× 99 0.5× 188 1.5k
Miloš Žefran 940 1.1× 439 0.7× 230 0.6× 141 0.4× 92 0.5× 110 1.8k
Yuichi Kurita 263 0.3× 678 1.1× 177 0.5× 371 1.2× 85 0.5× 195 1.8k

Countries citing papers authored by Hikaru Inooka

Since Specialization
Citations

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

Fields of papers citing papers by Hikaru Inooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikaru Inooka

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