Toshiyuki Suda

68 total papers · 1.3k total citations
43 papers, 1.1k citations indexed

About

Toshiyuki Suda is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Toshiyuki Suda has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 26 papers in Computational Mechanics and 22 papers in Mechanical Engineering. Recurrent topics in Toshiyuki Suda's work include Thermochemical Biomass Conversion Processes (29 papers), Granular flow and fluidized beds (18 papers) and Iron and Steelmaking Processes (13 papers). Toshiyuki Suda is often cited by papers focused on Thermochemical Biomass Conversion Processes (29 papers), Granular flow and fluidized beds (18 papers) and Iron and Steelmaking Processes (13 papers). Toshiyuki Suda collaborates with scholars based in Japan, China and United States. Toshiyuki Suda's co-authors include Guangwen Xu, Takahiro Murakami, Junichi Sato, Hidehisa Tani, Yoshiaki Matsuzawa, Toshiro Fujimori, Makoto Takafuji, Rong He, Masahiro Narukawa and Akio Yamamoto and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

Toshiyuki Suda

43 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Toshiyuki Suda 871 481 380 137 133 43 1.1k
Changsheng Bu 619 0.7× 300 0.6× 417 1.1× 277 2.0× 198 1.5× 58 1.1k
Tomasz Czakiert 792 0.9× 421 0.9× 688 1.8× 235 1.7× 158 1.2× 41 1.3k
Paulo Debiagi 1.1k 1.2× 479 1.0× 270 0.7× 238 1.7× 68 0.5× 48 1.5k
Yongbo Du 684 0.8× 298 0.6× 252 0.7× 313 2.3× 198 1.5× 56 937
Weijie Yan 482 0.6× 287 0.6× 249 0.7× 154 1.1× 58 0.4× 43 1.0k
Hannes Stadler 554 0.6× 570 1.2× 377 1.0× 274 2.0× 70 0.5× 41 1.3k
Guangsuo Yu 1000 1.1× 343 0.7× 465 1.2× 353 2.6× 110 0.8× 60 1.5k
Jouni Ritvanen 596 0.7× 337 0.7× 578 1.5× 150 1.1× 117 0.9× 48 1.0k
Chien‐Song Chyang 704 0.8× 497 1.0× 341 0.9× 153 1.1× 122 0.9× 71 1.1k
Yuegui Zhou 537 0.6× 672 1.4× 241 0.6× 190 1.4× 78 0.6× 46 997

Countries citing papers authored by Toshiyuki Suda

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Suda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Suda

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