Shoji Nishimura

129 total papers · 1.2k total citations
72 papers, 768 citations indexed

About

Shoji Nishimura is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Shoji Nishimura has authored 72 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Shoji Nishimura's work include Human Pose and Action Recognition (14 papers), Video Surveillance and Tracking Methods (11 papers) and Data Management and Algorithms (7 papers). Shoji Nishimura is often cited by papers focused on Human Pose and Action Recognition (14 papers), Video Surveillance and Tracking Methods (11 papers) and Data Management and Algorithms (7 papers). Shoji Nishimura collaborates with scholars based in Japan, China and United States. Shoji Nishimura's co-authors include Amr El Abbadi, Sudipto Das, Divyakant Agrawal, Qun Jin, Anne Nevgi, Seppo Tella, Atsushi Ogihara, Bo Wu, Jianquan Liu and Haruo Yokota and has published in prestigious journals such as IEEE Access, Sensors and Cancers.

In The Last Decade

Shoji Nishimura

63 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
Shoji Nishimura	327	249	225	164	80	72	768
Katayoun Farrahi	108 0.3×	117 0.5×	122 0.5×	188 1.1×	124 1.6×	37	809
Manuel Stein	284 0.9×	243 1.0×	106 0.5×	349 2.1×	87 1.1×	39	785
Joe Tekli	177 0.5×	203 0.8×	119 0.5×	166 1.0×	364 4.5×	52	743
Imad Fakhri Taha Alshaikhli	153 0.5×	112 0.4×	126 0.6×	181 1.1×	178 2.2×	102	621
Michèle Angelaccio	260 0.8×	111 0.4×	123 0.5×	98 0.6×	145 1.8×	37	643
David Albrecht	171 0.5×	147 0.6×	123 0.5×	120 0.7×	428 5.3×	48	734
Ibrar Hussain	164 0.5×	351 1.4×	118 0.5×	116 0.7×	248 3.1×	60	798
Antti Evesti	170 0.5×	259 1.0×	75 0.3×	111 0.7×	193 2.4×	32	724
Giuliana Vitiello	112 0.3×	237 1.0×	68 0.3×	136 0.8×	168 2.1×	111	769
David J. Parish	334 1.0×	103 0.4×	147 0.7×	197 1.2×	195 2.4×	84	622

Countries citing papers authored by Shoji Nishimura

Since Specialization

Citations

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

Fields of papers citing papers by Shoji Nishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoji Nishimura

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