Kozo Sugiyama

53 total papers · 2.4k total citations
25 papers, 1.3k citations indexed

About

Kozo Sugiyama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kozo Sugiyama has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Kozo Sugiyama's work include Data Visualization and Analytics (6 papers), Model-Driven Software Engineering Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Kozo Sugiyama is often cited by papers focused on Data Visualization and Analytics (6 papers), Model-Driven Software Engineering Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Kozo Sugiyama collaborates with scholars based in Japan, Australia and Germany. Kozo Sugiyama's co-authors include Mitsuhiko Toda, Shojiro Tagawa, Kazuo Misue, Peter Eades, Wei Lai, Bertolt Meyer, Jiro Tanaka, Takashi Kojima, Tooru OOIDA and Isao Yamada and has published in prestigious journals such as Electroencephalography and Clinical Neurophysiology, Knowledge-Based Systems and Journal of Knowledge Management.

In The Last Decade

Kozo Sugiyama

25 papers receiving 1.1k citations

Hit Papers

Methods for Visual Unders... 1981 2026 1996 2011 1981 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kozo Sugiyama 825 241 235 227 190 25 1.3k
Danny Holten 1.3k 1.6× 332 1.4× 395 1.7× 121 0.5× 317 1.7× 20 1.7k
James Abello 657 0.8× 254 1.1× 325 1.4× 80 0.4× 123 0.6× 51 1.2k
Pak Chung Wong 1.1k 1.3× 404 1.7× 513 2.2× 146 0.6× 225 1.2× 79 1.8k
Iván Herman 1.0k 1.2× 224 0.9× 493 2.1× 94 0.4× 330 1.7× 82 1.7k
Daniel Archambault 1.1k 1.3× 253 1.0× 304 1.3× 71 0.3× 58 0.3× 66 1.3k
Hans‐Jörg Schulz 985 1.2× 217 0.9× 359 1.5× 51 0.2× 79 0.4× 57 1.3k
Hisao Tamaki 360 0.4× 193 0.8× 881 3.7× 154 0.7× 245 1.3× 62 1.8k
James J. Thomas 985 1.2× 243 1.0× 515 2.2× 44 0.2× 189 1.0× 23 1.6k
Tatiana von Landesberger 1.1k 1.3× 366 1.5× 349 1.5× 52 0.2× 95 0.5× 71 1.5k
John Lamping 624 0.8× 173 0.7× 665 2.8× 47 0.2× 441 2.3× 31 1.6k

Countries citing papers authored by Kozo Sugiyama

Since Specialization
Citations

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

Fields of papers citing papers by Kozo Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kozo Sugiyama

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