Hideyuki Sawada

220 total papers · 1.4k total citations
125 papers, 887 citations indexed

About

Hideyuki Sawada is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Hideyuki Sawada has authored 125 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 28 papers in Human-Computer Interaction and 27 papers in Mechanical Engineering. Recurrent topics in Hideyuki Sawada's work include Tactile and Sensory Interactions (29 papers), Speech and Audio Processing (24 papers) and Speech Recognition and Synthesis (14 papers). Hideyuki Sawada is often cited by papers focused on Tactile and Sensory Interactions (29 papers), Speech and Audio Processing (24 papers) and Speech Recognition and Synthesis (14 papers). Hideyuki Sawada collaborates with scholars based in Japan, Vietnam and Thailand. Hideyuki Sawada's co-authors include Yeong-Han Chun, Y. Hori, Shuji Hashimoto, Rosdiyana Samad, Tatsuaki Hashimoto, Hiroki Shigemune, Keiken Ninomiya, Keiji Uchida, Pitoyo Hartono and Jianwu Dang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Hideyuki Sawada

111 papers receiving 822 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 Sawada 353 327 202 173 172 125 887
Paulo Menezes 132 0.4× 171 0.5× 95 0.5× 235 1.4× 80 0.5× 100 953
Dominic Létourneau 238 0.7× 407 1.2× 91 0.5× 76 0.4× 202 1.2× 68 1.1k
Tapomayukh Bhattacharjee 204 0.6× 360 1.1× 296 1.5× 135 0.8× 311 1.8× 60 869
Ping Li 154 0.4× 224 0.7× 91 0.5× 83 0.5× 52 0.3× 61 777
Huijun Li 234 0.7× 212 0.6× 332 1.6× 190 1.1× 168 1.0× 66 884
Ehsan T. Esfahani 127 0.4× 219 0.7× 196 1.0× 77 0.4× 289 1.7× 65 939
Ning Wang 204 0.6× 571 1.7× 180 0.9× 95 0.5× 320 1.9× 57 990
Attila Kővári 104 0.3× 365 1.1× 217 1.1× 248 1.4× 40 0.2× 89 1.0k
Duygun Erol Barkana 140 0.4× 280 0.9× 165 0.8× 76 0.4× 314 1.8× 81 923
Pengwen Xiong 118 0.3× 150 0.5× 133 0.7× 153 0.9× 205 1.2× 56 708

Countries citing papers authored by Hideyuki Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Sawada

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