Takami Yasuda

194 total papers · 569 total citations
83 papers, 319 citations indexed

About

Takami Yasuda is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Takami Yasuda has authored 83 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 25 papers in Control and Systems Engineering and 11 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Takami Yasuda's work include Human Motion and Animation (18 papers), Computer Graphics and Visualization Techniques (11 papers) and Augmented Reality Applications (11 papers). Takami Yasuda is often cited by papers focused on Human Motion and Animation (18 papers), Computer Graphics and Visualization Techniques (11 papers) and Augmented Reality Applications (11 papers). Takami Yasuda collaborates with scholars based in Japan and Greece. Takami Yasuda's co-authors include Shigeki Yokoi, J. Toriwaki, Jun‐ichiro Toriwaki, Mamoru Endo, Shinya Miyazaki, Ke Tian, Yasuhiro Hashimoto, Bin Umino, Mitsuru ENDO and Mutsuhisa Fujioka and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Applied Sciences and IEEE Computer Graphics and Applications.

In The Last Decade

Takami Yasuda

66 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
Takami Yasuda	161	71	57	55	53	83	319
Edmond C. Prakash	155 1.0×	51 0.7×	42 0.7×	93 1.7×	22 0.4×	57	291
Shigeki Yokoi	206 1.3×	47 0.7×	46 0.8×	21 0.4×	33 0.6×	62	351
Jieun Lee	95 0.6×	23 0.3×	44 0.8×	66 1.2×	51 1.0×	53	290
Frederic Kleinermann	68 0.4×	63 0.9×	37 0.6×	27 0.5×	54 1.0×	34	331
Jan Holub	88 0.5×	15 0.2×	12 0.2×	17 0.3×	32 0.6×	77	316
Rafael Kuffner dos Anjos	195 1.2×	37 0.5×	40 0.7×	22 0.4×	207 3.9×	30	343
José L. Encarnação	92 0.6×	29 0.4×	54 0.9×	46 0.8×	47 0.9×	55	229
Maria Andréia Formico Rodriguês	151 0.9×	27 0.4×	35 0.6×	16 0.3×	75 1.4×	78	336
I‐Chen Lin	178 1.1×	42 0.6×	23 0.4×	45 0.8×	39 0.7×	39	256
Hiroaki Nishino	115 0.7×	72 1.0×	27 0.5×	15 0.3×	194 3.7×	73	354

Countries citing papers authored by Takami Yasuda

Since Specialization

Citations

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

Fields of papers citing papers by Takami Yasuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takami Yasuda

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