Tsutomu Maruyama

288 total papers · 3.5k total citations
179 papers, 2.4k citations indexed

About

Tsutomu Maruyama is a scholar working on Computer Vision and Pattern Recognition, Genetics and Artificial Intelligence. According to data from OpenAlex, Tsutomu Maruyama has authored 179 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 32 papers in Genetics and 29 papers in Artificial Intelligence. Recurrent topics in Tsutomu Maruyama's work include Yersinia bacterium, plague, ectoparasites research (31 papers), Advanced Vision and Imaging (24 papers) and Pharmacological Effects of Natural Compounds (21 papers). Tsutomu Maruyama is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (31 papers), Advanced Vision and Imaging (24 papers) and Pharmacological Effects of Natural Compounds (21 papers). Tsutomu Maruyama collaborates with scholars based in Japan, India and United States. Tsutomu Maruyama's co-authors include Yoshiki Yamaguchi, Hiroshi Zen‐Yōji, Senzo SAKAI, Yasunori Okada, Sou‐ichi Makino, Akihiko Konagaya, Yoshitoki YANAGAWA, Kenji Kanazawa, S Kaneko and Takashi Iida and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Tsutomu Maruyama

169 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Tsutomu Maruyama 617 479 474 397 351 179 2.4k
Masanori Sugiyama 255 0.4× 2.1k 4.3× 478 1.0× 238 0.6× 356 1.0× 178 4.5k
Christoph Mayer 626 1.0× 1.9k 4.1× 191 0.4× 375 0.9× 526 1.5× 131 4.3k
Hiroshi Miyakawa 226 0.4× 866 1.8× 229 0.5× 72 0.2× 53 0.2× 185 4.7k
Hui‐Wen Chang 800 1.3× 908 1.9× 74 0.2× 408 1.0× 97 0.3× 184 3.8k
Lin Tao 273 0.4× 2.6k 5.4× 220 0.5× 39 0.1× 162 0.5× 157 4.7k
Jinn‐Moon Yang 242 0.4× 2.2k 4.7× 119 0.3× 61 0.2× 112 0.3× 157 4.3k
Tomoaki Yoshida 154 0.2× 1.3k 2.7× 142 0.3× 549 1.4× 48 0.1× 350 4.9k
Chih‐Jung Kuo 107 0.2× 1.2k 2.6× 189 0.4× 306 0.8× 135 0.4× 91 3.6k
Andreas Wieser 133 0.2× 629 1.3× 182 0.4× 477 1.2× 50 0.1× 220 4.7k
Panu Somervuo 232 0.4× 695 1.5× 159 0.3× 124 0.3× 139 0.4× 103 2.7k

Countries citing papers authored by Tsutomu Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsutomu Maruyama

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