Kazutoshi Tanaka

114 total papers · 750 total citations
51 papers, 474 citations indexed

About

Kazutoshi Tanaka is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Kazutoshi Tanaka has authored 51 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Control and Systems Engineering, 22 papers in Biomedical Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Kazutoshi Tanaka's work include Robot Manipulation and Learning (27 papers), Soft Robotics and Applications (14 papers) and Prosthetics and Rehabilitation Robotics (8 papers). Kazutoshi Tanaka is often cited by papers focused on Robot Manipulation and Learning (27 papers), Soft Robotics and Applications (14 papers) and Prosthetics and Rehabilitation Robotics (8 papers). Kazutoshi Tanaka collaborates with scholars based in Japan, United States and Australia. Kazutoshi Tanaka's co-authors include Masashi Hamaya, Yasuo Kuniyoshi, Ryuma Niiyama, Satoshi Nishikawa, Makoto Hashizume, Mamoru Mitsuishi, Jumpei Arata, Shin’ichi Warisawa, Robert Lee and Takashi Yoshizawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of neurosurgery.

In The Last Decade

Kazutoshi Tanaka

48 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
Kazutoshi Tanaka	222	208	93	76	66	51	474
Long Cheng	166 0.7×	121 0.6×	87 0.9×	70 0.9×	91 1.4×	32	438
Yu Liu	161 0.7×	113 0.5×	86 0.9×	55 0.7×	55 0.8×	47	465
Ali Torabi	195 0.9×	199 1.0×	139 1.5×	82 1.1×	48 0.7×	31	521
Yunliang Wang	161 0.7×	129 0.6×	135 1.5×	43 0.6×	20 0.3×	68	515
Zhen Deng	203 0.9×	153 0.7×	66 0.7×	92 1.2×	76 1.2×	48	530
Zhiqin Qian	193 0.9×	99 0.5×	84 0.9×	97 1.3×	38 0.6×	46	503
Takahiro Takeda	224 1.0×	121 0.6×	83 0.9×	98 1.3×	49 0.7×	68	539
Teppei Tsujita	241 1.1×	118 0.6×	95 1.0×	105 1.4×	11 0.2×	80	465
Minhua Zheng	83 0.4×	94 0.5×	32 0.3×	131 1.7×	86 1.3×	32	474
Yangxin Xu	232 1.0×	135 0.6×	75 0.8×	107 1.4×	48 0.7×	24	539

Countries citing papers authored by Kazutoshi Tanaka

Since Specialization

Citations

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

Fields of papers citing papers by Kazutoshi Tanaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Tanaka

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