Toshimitsu Ushio

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 Masakazu Adachi 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toshimitsu Ushio Japan 21 879 805 666 370 228 260 2.0k
Saverio Mascolo Italy 31 3.3k 3.8× 274 0.3× 537 0.8× 161 0.4× 185 0.8× 135 4.2k
B. Porter United Kingdom 26 498 0.6× 225 0.3× 88 0.1× 1.5k 3.9× 106 0.5× 306 2.5k
Christian Commault France 22 444 0.5× 491 0.6× 160 0.2× 1.3k 3.4× 94 0.4× 98 1.9k
Tomasz Radzik United Kingdom 17 718 0.8× 348 0.4× 105 0.2× 96 0.3× 151 0.7× 54 1.5k
Amit Kumar India 26 1.4k 1.5× 532 0.7× 190 0.3× 21 0.1× 209 0.9× 119 2.3k
Ljiljana Trajković Canada 23 1.3k 1.5× 228 0.3× 143 0.2× 188 0.5× 20 0.1× 151 2.2k
Kalyan S. Perumalla United States 23 1.4k 1.5× 163 0.2× 77 0.1× 204 0.6× 21 0.1× 126 2.0k
James Aspnes United States 28 2.5k 2.8× 483 0.6× 166 0.2× 27 0.1× 145 0.6× 107 3.1k
Michael Jünger Germany 16 244 0.3× 530 0.7× 111 0.2× 59 0.2× 406 1.8× 30 1.4k
Mohammad Masoud Javidi Iran 27 652 0.7× 139 0.2× 354 0.5× 61 0.2× 33 0.1× 109 2.1k

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

20 of 20 papers shown
1.
Zhang, Zhe, Toshimitsu Ushio, Yaonan Wang, Jing Zhang, & Xiaogang Zhang. (2024). Asymptotic stability analysis of time delayed fractional-order replicator dynamics with government’s intervention. Neurocomputing. 608. 128359–128359. 1 indexed citations
2.
Ushio, Toshimitsu, et al.. (2024). Bounded Synthesis and Reinforcement Learning of Supervisors for Stochastic Discrete Event Systems With LTL Specifications. IEEE Transactions on Automatic Control. 69(10). 6668–6683. 1 indexed citations
3.
Ushio, Toshimitsu, et al.. (2023). Finite-Horizon Shield for Path Planning Ensuring Safety/Co-Safety Specifications and Security Policies. IEEE Access. 11. 11766–11780. 1 indexed citations
4.
Ushio, Toshimitsu, et al.. (2022). Dynamics of miners' decision making under taxation in blockchain. Nonlinear Theory and Its Applications IEICE. 13(2). 233–238.
5.
Ushio, Toshimitsu, et al.. (2022). Learning-Based Bounded Synthesis for Semi-MDPs With LTL Specifications. IEEE Control Systems Letters. 6. 2557–2562. 1 indexed citations
6.
Ushio, Toshimitsu, et al.. (2022). Hyper-Labeled Transition System and Its Application to Planning Under Linear Temporal Logic Constraints. IEEE Control Systems Letters. 6. 2437–2442. 1 indexed citations
7.
Ushio, Toshimitsu, et al.. (2021). Abstraction-Based Symbolic Control Barrier Functions for Safety-Critical Embedded Systems. IEEE Control Systems Letters. 6. 1436–1441. 3 indexed citations
8.
Ushio, Toshimitsu, et al.. (2021). Continuous deep Q-learning with a simulator for stabilization of uncertain discrete-time systems. Nonlinear Theory and Its Applications IEICE. 12(4). 738–757. 4 indexed citations
9.
Ushio, Toshimitsu, et al.. (2020). On-Line Permissive Supervisory Control of Discrete Event Systems for scLTL Specifications. IEEE Control Systems Letters. 4(3). 530–535. 10 indexed citations
10.
Hashimoto, Kazumune, Yuichi Yoshimura, & Toshimitsu Ushio. (2020). Learning Self-Triggered Controllers With Gaussian Processes. IEEE Transactions on Cybernetics. 51(12). 6294–6304. 19 indexed citations
11.
Ushio, Toshimitsu, et al.. (2020). Application of deep reinforcement learning to networked control systems with uncertain network delays. Nonlinear Theory and Its Applications IEICE. 11(4). 480–500. 4 indexed citations
12.
Ushio, Toshimitsu, et al.. (2019). Supervisory Control of Communicating Timed Discrete Event Systems for State Avoidance Problem. IEEE Control Systems Letters. 4(1). 259–264. 7 indexed citations
13.
Ushio, Toshimitsu, et al.. (2019). Anti-jamming mobile control using QoS-based reinforcement learning. IEICE Communications Express. 8(12). 501–506. 1 indexed citations
14.
Zhang, Zhe, Toshimitsu Ushio, Zhaoyang Ai, & Jing Zhang. (2019). Novel stability condition for delayed fractional-order composite systems based on vector Lyapunov function. Nonlinear Dynamics. 99(2). 1253–1267. 26 indexed citations
15.
Ushio, Toshimitsu, et al.. (2019). On Stability of Consensus Control of Discrete-Time Multi-Agent Systems by Multiple Pinning Agents. IEEE Control Systems Letters. 3(4). 1038–1043. 2 indexed citations
16.
Ushio, Toshimitsu, et al.. (2018). Deadlock-free output feedback controller design based on approximately abstracted observers. Nonlinear Analysis Hybrid Systems. 30. 58–71. 11 indexed citations
17.
Ushio, Toshimitsu, et al.. (2014). A Bisimulation-Based Design of User Interface With Alerts Avoiding Automation Surprises. IEEE Transactions on Human-Machine Systems. 46(2). 317–323. 3 indexed citations
18.
Ushio, Toshimitsu, et al.. (2011). Self-triggered Receding Horizon Control of Linear Discrete-time System using MLD Model. IEICE Technical Report; IEICE Tech. Rep.. 110. 1 indexed citations
19.
Ushio, Toshimitsu, et al.. (2004). Formal Detection of Three Automation Surprises in Human-Machine Interaction. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(11). 2878–2884. 3 indexed citations
20.
Ushio, Toshimitsu. (1999). On-Line Control of Discrete Event Systems with a Maximally Controllable and Observable Sublanguage. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(9). 1965–1970. 13 indexed citations

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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