Tomihisa Kamada

17 total papers · 3.2k total citations
12 papers, 2.0k citations indexed

About

Tomihisa Kamada is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Tomihisa Kamada has authored 12 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Tomihisa Kamada's work include Data Visualization and Analytics (6 papers), Data Management and Algorithms (3 papers) and Multimedia Communication and Technology (2 papers). Tomihisa Kamada is often cited by papers focused on Data Visualization and Analytics (6 papers), Data Management and Algorithms (3 papers) and Multimedia Communication and Technology (2 papers). Tomihisa Kamada collaborates with scholars based in Japan and Taiwan. Tomihisa Kamada's co-authors include Satoru Kawai, Shin Takahashi, Akinori Yonezawa, Satoshi Matsuoka, Satoshi Matsuoka and Hiroshi Hosobe and has published in prestigious journals such as ACM Transactions on Graphics, ACM Transactions on Information Systems and Information Processing Letters.

In The Last Decade

Tomihisa Kamada

12 papers receiving 1.8k citations

Hit Papers

An algorithm for drawing ... 1989 2026 2001 2013 1989 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Tomihisa Kamada 818 424 267 239 224 12 2.0k
Danny Holten 1.3k 1.6× 468 1.1× 395 1.5× 84 0.4× 128 0.6× 20 1.7k
Michael J. McGuffin 1.3k 1.6× 353 0.8× 332 1.2× 227 0.9× 169 0.8× 54 2.2k
Frank van Ham 1.3k 1.6× 411 1.0× 569 2.1× 94 0.4× 310 1.4× 35 2.2k
Iván Herman 1.0k 1.2× 293 0.7× 493 1.8× 114 0.5× 277 1.2× 82 1.7k
Guy Mélançon 1.1k 1.3× 533 1.3× 543 2.0× 112 0.5× 237 1.1× 69 1.9k
Pak Chung Wong 1.1k 1.3× 265 0.6× 513 1.9× 149 0.6× 90 0.4× 79 1.8k
Benjamin Bach 1.6k 1.9× 267 0.6× 404 1.5× 93 0.4× 277 1.2× 78 2.1k
Marc Streit 1.3k 1.6× 196 0.5× 686 2.6× 276 1.2× 154 0.7× 82 2.0k
Helen C. Purchase 1.5k 1.8× 401 0.9× 466 1.7× 64 0.3× 228 1.0× 101 3.0k
Miriah Meyer 1.4k 1.8× 147 0.3× 376 1.4× 354 1.5× 401 1.8× 68 2.6k

Countries citing papers authored by Tomihisa Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Tomihisa Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomihisa Kamada

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