Toshimitsu Ushio

471 total papers · 2.8k total citations
260 papers, 2.0k citations indexed

About

Toshimitsu Ushio is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Toshimitsu Ushio has authored 260 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computational Theory and Mathematics, 122 papers in Computer Networks and Communications and 55 papers in Statistical and Nonlinear Physics. Recurrent topics in Toshimitsu Ushio's work include Petri Nets in System Modeling (104 papers), Formal Methods in Verification (92 papers) and Distributed systems and fault tolerance (57 papers). Toshimitsu Ushio is often cited by papers focused on Petri Nets in System Modeling (104 papers), Formal Methods in Verification (92 papers) and Distributed systems and fault tolerance (57 papers). Toshimitsu Ushio collaborates with scholars based in Japan, United States and China. Toshimitsu Ushio's co-authors include Shigemasa Takai, Shigeru Yamamoto, Kazumasa HIRAI, Koichi Okuda, Takafumi Kanazawa, T. Hino, Shinzo Kodama, Kazumune Hashimoto, Yukikazu Nakamoto and C. S. Hsu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Toshimitsu Ushio

238 papers receiving 1.9k citations

Author Peers

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

Author						Papers	Cites
Toshimitsu Ushio	874	801	662	362	228	260	2.0k
Kai Cai	1.0k 1.2×	730 0.9×	456 0.7×	268 0.7×	179 0.8×	137	2.5k
Paul G. Spirakis	1.5k 1.8×	431 0.5×	206 0.3×	57 0.2×	130 0.6×	259	2.7k
Carolyn L. Beck	246 0.3×	225 0.3×	534 0.8×	448 1.2×	106 0.5×	128	1.5k
Wolfgang A. Halang	310 0.4×	404 0.5×	284 0.4×	301 0.8×	59 0.3×	183	2.0k
Mark A. Shayman	803 0.9×	389 0.5×	206 0.3×	310 0.9×	34 0.1×	106	1.6k
S. S. Ravi	1.1k 1.2×	626 0.8×	258 0.4×	91 0.3×	191 0.8×	122	2.6k
Y. Wardi	451 0.5×	672 0.8×	54 0.1×	1.2k 3.2×	221 1.0×	139	2.4k
Alberto Marchetti-Spaccamela	1.1k 1.3×	739 0.9×	101 0.2×	71 0.2×	365 1.6×	124	2.5k
B. Porter	496 0.6×	225 0.3×	88 0.1×	1.5k 4.0×	106 0.5×	305	2.5k
Shalabh Bhatnagar	486 0.6×	521 0.7×	92 0.1×	749 2.1×	119 0.5×	150	2.5k

Countries citing papers authored by Toshimitsu Ushio

Since Specialization

Citations

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

Fields of papers citing papers by Toshimitsu Ushio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimitsu Ushio

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