Takuya Hashimoto

155 total papers · 941 total citations
51 papers, 641 citations indexed

About

Takuya Hashimoto is a scholar working on Biomedical Engineering, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Takuya Hashimoto has authored 51 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 16 papers in Social Psychology and 14 papers in Control and Systems Engineering. Recurrent topics in Takuya Hashimoto's work include Social Robot Interaction and HRI (15 papers), Muscle activation and electromyography studies (9 papers) and Prosthetics and Rehabilitation Robotics (8 papers). Takuya Hashimoto is often cited by papers focused on Social Robot Interaction and HRI (15 papers), Muscle activation and electromyography studies (9 papers) and Prosthetics and Rehabilitation Robotics (8 papers). Takuya Hashimoto collaborates with scholars based in Japan, United States and China. Takuya Hashimoto's co-authors include Hiroshi Kobayashi, Toshiaki Tsuji, Hiroshi Kobayashi, Yoshiki Muramatsu, Yutaka S. Sato, Hiroyuki Kobayashi, Igor Verner, Yasuhisa Nakamura, Kouhei Ohnishi and Chika Sugimoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Annals of Oncology.

In The Last Decade

Takuya Hashimoto

49 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Takuya Hashimoto	270	230	198	110	74	51	641
Maria Kyrarini	125 0.5×	116 0.5×	165 0.8×	130 1.2×	27 0.4×	44	554
Takashi Yamamoto	160 0.6×	84 0.4×	222 1.1×	165 1.5×	31 0.4×	65	673
Martin J.-D. Otis	320 1.2×	68 0.3×	295 1.5×	133 1.2×	23 0.3×	60	786
Sašo Koceski	136 0.5×	92 0.4×	75 0.4×	119 1.1×	28 0.4×	64	627
Birgit Graf	130 0.5×	277 1.2×	219 1.1×	276 2.5×	24 0.3×	26	727
M. Skubic	197 0.7×	57 0.2×	210 1.1×	247 2.2×	25 0.3×	32	659
Barbara Bruno	82 0.3×	185 0.8×	138 0.7×	209 1.9×	15 0.2×	68	754
Marta Lorenzini	295 1.1×	272 1.2×	238 1.2×	55 0.5×	34 0.5×	40	721
Daisuke Chugo	310 1.1×	70 0.3×	188 0.9×	168 1.5×	114 1.5×	175	682
Pablo Bustos	51 0.2×	196 0.9×	124 0.6×	233 2.1×	20 0.3×	61	580

Countries citing papers authored by Takuya Hashimoto

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Hashimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Hashimoto

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