Yasuhiro Shiomi

81 total papers · 527 total citations
47 papers, 326 citations indexed

About

Yasuhiro Shiomi is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Yasuhiro Shiomi has authored 47 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Transportation, 25 papers in Control and Systems Engineering and 25 papers in Building and Construction. Recurrent topics in Yasuhiro Shiomi's work include Traffic control and management (25 papers), Transportation Planning and Optimization (23 papers) and Traffic Prediction and Management Techniques (22 papers). Yasuhiro Shiomi is often cited by papers focused on Traffic control and management (25 papers), Transportation Planning and Optimization (23 papers) and Traffic Prediction and Management Techniques (22 papers). Yasuhiro Shiomi collaborates with scholars based in Japan, Netherlands and Vietnam. Yasuhiro Shiomi's co-authors include Nobuhiro Uno, Victor L. Knoop, Serge Hoogendoorn, Christine Buisson, Toshio Yoshii, Ryuichi Kitamura, Hiroshi Shimamoto, Tomoki Taniguchi, Makoto Chikaraishi and Toshiyuki Nakamura and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Transportation Research Part B Methodological and Transport Policy.

In The Last Decade

Yasuhiro Shiomi

37 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Yasuhiro Shiomi 203 201 145 88 69 47 326
Hideyuki KITA 210 1.0× 173 0.9× 75 0.5× 109 1.2× 124 1.8× 56 336
Hamid Mirzahossein 89 0.4× 185 0.9× 144 1.0× 47 0.5× 82 1.2× 68 348
Jianxiao Ma 136 0.7× 106 0.5× 107 0.7× 86 1.0× 121 1.8× 45 336
Chu Cong Minh 138 0.7× 147 0.7× 103 0.7× 115 1.3× 63 0.9× 25 292
Xizhao Zhou 143 0.7× 184 0.9× 86 0.6× 105 1.2× 65 0.9× 43 350
Shunying Zhu 112 0.6× 90 0.4× 82 0.6× 178 2.0× 86 1.2× 50 320
Long Xuan Nguyen 79 0.4× 114 0.6× 106 0.7× 76 0.9× 75 1.1× 23 272
Bongsoo Son 86 0.4× 182 0.9× 112 0.8× 146 1.7× 69 1.0× 33 324
Evangelos Kaisar 125 0.6× 134 0.7× 117 0.8× 77 0.9× 54 0.8× 31 348
Nadir Farhi 146 0.7× 201 1.0× 114 0.8× 23 0.3× 87 1.3× 59 314

Countries citing papers authored by Yasuhiro Shiomi

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Shiomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Shiomi

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