Hiroshi Tanaka

1.2k citations
57 papers · 494 · h-index 12

Impact in

Papers in

Hiroshi Tanaka

53 papers receiving 462 citations

Peers

Hiroshi Tanaka
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 98
  • Computer Vision and Pattern Recognition 121
  • Information Systems 70
  • Signal Processing 31
  • Health Information Management 12
Replace Dario Malchiodi with:
Dario Malchiodi Italy
Richa Gupta India
Taoufiq Gadi Morocco
Wilhelmiina Hämäläinen Finland
Osama Dorgham Jordan
Sunita Garhwal India
Hui Yan China
Sanjeev Sharma India
Sheng He Netherlands
Alasdair McAndrew Australia
Hiroshi Tanaka relative to Dario Malchiodi Italy Dario Malchiodi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hiroshi Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroshi Tanaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroshi Tanaka Line = papers co-authored together Hiroshi Tanaka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 201041
3 199640
4 199938
5 199535
6 200831
7 201031
8 200617
9 200516
10 200616
11 201214
12 200712
13 201211
14 20089
15 20098
16 19987
17 20047
18 20157
19 20096
20 20036

About Hiroshi Tanaka

Hiroshi Tanaka is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 57 papers that have together received 494 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Handwritten Text Recognition Techniques (7 papers), Data Mining Algorithms and Applications (7 papers), Rough Sets and Fuzzy Logic (6 papers), Bioinformatics and Genomic Networks (6 papers), Genetic diversity and population structure (5 papers), Robotic Path Planning Algorithms (5 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (98 citations), Computer Vision and Pattern Recognition (121 citations), Information Systems (70 citations), Signal Processing (31 citations) and Health Information Management (12 citations). Hiroshi Tanaka has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Shusaku Tsumoto, Soichi Ogishima, Yosuke Kurihara, Kajiro Watanabe, Fengrong Ren, Ziheng Yang, Mamoru Minami, Yasushi Mae, Tetsuo Nakamura and Masaki Nakagawa. Their work appears in journals such as Gene, Proceedings Genome Informatics Workshop/Genome informatics, IEEE Sensors Journal, PLoS ONE and Methods of Information in Medicine.

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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