Takeshi Tsujimura

118 total papers · 439 total citations
56 papers, 246 citations indexed

About

Takeshi Tsujimura is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Takeshi Tsujimura has authored 56 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takeshi Tsujimura's work include Semiconductor Lasers and Optical Devices (18 papers), Optical Wireless Communication Technologies (17 papers) and Robotics and Sensor-Based Localization (14 papers). Takeshi Tsujimura is often cited by papers focused on Semiconductor Lasers and Optical Devices (18 papers), Optical Wireless Communication Technologies (17 papers) and Robotics and Sensor-Based Localization (14 papers). Takeshi Tsujimura collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Tsujimura's co-authors include Tetsuro Yabuta, Kiyotaka Izumi, Kuniaki Tanaka, Masahiro Yoshikawa, Toshio Kurashima, Tetsuya Manabe, Kazuyo Tanaka, Yuji Azuma, Hironori Tanaka and Kazuyuki Shiraki and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Japanese Journal of Applied Physics and Pattern Recognition Letters.

In The Last Decade

Takeshi Tsujimura

49 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
Takeshi Tsujimura	111	72	59	53	33	56	246
Jun Jiang	113 1.0×	103 1.4×	69 1.2×	62 1.2×	33 1.0×	50	319
Kai Wang	123 1.1×	28 0.4×	45 0.8×	42 0.8×	43 1.3×	30	292
Norbert Link	84 0.8×	62 0.9×	19 0.3×	44 0.8×	21 0.6×	35	285
Lin Xi	73 0.7×	61 0.8×	33 0.6×	54 1.0×	22 0.7×	44	290
Min Wang	54 0.5×	91 1.3×	27 0.5×	68 1.3×	42 1.3×	57	272
Xu Gao	100 0.9×	42 0.6×	29 0.5×	28 0.5×	79 2.4×	29	306
Christoph Walter	57 0.5×	51 0.7×	116 2.0×	67 1.3×	32 1.0×	33	320
Nathan Kirchner	38 0.3×	48 0.7×	52 0.9×	36 0.7×	30 0.9×	30	321
Yifan Wang	59 0.5×	40 0.6×	141 2.4×	40 0.8×	67 2.0×	58	264
Takuya Tsujimura	50 0.5×	135 1.9×	105 1.8×	131 2.5×	34 1.0×	36	289

Countries citing papers authored by Takeshi Tsujimura

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Tsujimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Tsujimura

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