Tetsushi Ikeda

123 total papers · 2.2k total citations
74 papers, 1.6k citations indexed

About

Tetsushi Ikeda is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Social Psychology. According to data from OpenAlex, Tetsushi Ikeda has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Mechanical Engineering and 20 papers in Social Psychology. Recurrent topics in Tetsushi Ikeda's work include Video Surveillance and Tracking Methods (15 papers), Evacuation and Crowd Dynamics (11 papers) and Intermetallics and Advanced Alloy Properties (10 papers). Tetsushi Ikeda is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Evacuation and Crowd Dynamics (11 papers) and Intermetallics and Advanced Alloy Properties (10 papers). Tetsushi Ikeda collaborates with scholars based in Japan, Switzerland and Germany. Tetsushi Ikeda's co-authors include Takayuki Kanda, Francesco Zanlungo, Hideo Nakajima, Takahiro Miyashita, M. Koiwa, Hiroshi Numakura, Dražen Brščić, Norihiro Hagita, A. Almazouzi and Kazuhiko Shinozawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Tetsushi Ikeda

63 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
Tetsushi Ikeda	559	411	398	295	262	74	1.6k
Jijun Wang	321 0.6×	92 0.2×	208 0.5×	146 0.5×	170 0.6×	76	1.8k
Hui Xie	130 0.2×	292 0.7×	304 0.8×	394 1.3×	323 1.2×	133	2.1k
Shraga Shoval	180 0.3×	92 0.2×	309 0.8×	65 0.2×	245 0.9×	128	1.5k
Cheng Siong Chin	258 0.5×	283 0.7×	162 0.4×	39 0.1×	408 1.6×	130	2.4k
Ioannis Kostavelis	494 0.9×	147 0.4×	640 1.6×	229 0.8×	294 1.1×	94	1.8k
Jongho Shin	361 0.6×	100 0.2×	300 0.8×	24 0.1×	664 2.5×	109	1.5k
Xin Xia	253 0.5×	46 0.1×	359 0.9×	91 0.3×	409 1.6×	74	1.8k
Bo Cheng	188 0.3×	221 0.5×	184 0.5×	56 0.2×	57 0.2×	89	2.0k
Cheng Liu	818 1.5×	166 0.4×	104 0.3×	15 0.1×	194 0.7×	146	2.3k
Mengjie Huang	287 0.5×	36 0.1×	121 0.3×	142 0.5×	410 1.6×	122	1.8k

Countries citing papers authored by Tetsushi Ikeda

Since Specialization

Citations

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

Fields of papers citing papers by Tetsushi Ikeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsushi Ikeda

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