Hideyuki Tokuda

391 total papers · 4.1k total citations
219 papers, 2.5k citations indexed

About

Hideyuki Tokuda is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Hideyuki Tokuda has authored 219 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Networks and Communications, 65 papers in Computer Vision and Pattern Recognition and 56 papers in Hardware and Architecture. Recurrent topics in Hideyuki Tokuda's work include Context-Aware Activity Recognition Systems (54 papers), Real-Time Systems Scheduling (52 papers) and Embedded Systems Design Techniques (35 papers). Hideyuki Tokuda is often cited by papers focused on Context-Aware Activity Recognition Systems (54 papers), Real-Time Systems Scheduling (52 papers) and Embedded Systems Design Techniques (35 papers). Hideyuki Tokuda collaborates with scholars based in Japan, United States and Canada. Hideyuki Tokuda's co-authors include Clifford W. Mercer, Jin Nakazawa, E. Douglas Jensen, C. Douglass Locke, Yutaka Ishikawa, Tatsuo Nakajima, T. Okoshi, Takuro Yonezawa, Michio Honda and Yoshifumi Nishida and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Communications and Computer.

In The Last Decade

Hideyuki Tokuda

202 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Hideyuki Tokuda 1.4k 1.0k 373 349 279 219 2.5k
Assaf Schuster 2.3k 1.7× 1.1k 1.1× 266 0.7× 317 0.9× 1.3k 4.7× 188 4.0k
Kevin Jeffay 2.2k 1.6× 1.2k 1.1× 127 0.3× 527 1.5× 186 0.7× 97 2.8k
Fulvio Corno 424 0.3× 1.6k 1.6× 424 1.1× 1.6k 4.7× 332 1.2× 240 3.3k
Yong Chen 1.6k 1.1× 820 0.8× 194 0.5× 166 0.5× 753 2.7× 245 2.2k
Ishfaq Ahmad 2.4k 1.7× 1.4k 1.4× 262 0.7× 320 0.9× 1.2k 4.3× 124 3.0k
Peter A. Dinda 2.9k 2.1× 1.2k 1.2× 321 0.9× 794 2.3× 1.6k 5.8× 168 3.7k
Dejan Milojičić 2.9k 2.1× 661 0.6× 371 1.0× 676 1.9× 1.8k 6.5× 201 4.0k
Lawrence A. Rowe 2.1k 1.5× 334 0.3× 1.1k 2.9× 135 0.4× 589 2.1× 112 3.6k
Jason Nieh 2.6k 1.9× 1.8k 1.8× 401 1.1× 317 0.9× 1.8k 6.3× 159 4.1k
Ladislau Bölöni 2.4k 1.8× 832 0.8× 209 0.6× 560 1.6× 1.1k 4.1× 142 3.3k

Countries citing papers authored by Hideyuki Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Tokuda

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