Toshihiro Matsui

2.1k total citations
95 papers, 1.4k citations indexed

About

Toshihiro Matsui is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Toshihiro Matsui has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 25 papers in Computer Networks and Communications and 24 papers in Artificial Intelligence. Recurrent topics in Toshihiro Matsui's work include Constraint Satisfaction and Optimization (21 papers), Data Management and Algorithms (16 papers) and Robotic Path Planning Algorithms (15 papers). Toshihiro Matsui is often cited by papers focused on Constraint Satisfaction and Optimization (21 papers), Data Management and Algorithms (16 papers) and Robotic Path Planning Algorithms (15 papers). Toshihiro Matsui collaborates with scholars based in Japan, United States and Poland. Toshihiro Matsui's co-authors include Shin Kato, Sadayuki Tsugawa, H. Fujii, Hideki Asoh, Kiyohito Tokuda, Masayuki Inaba, Isao Hara, Satoru Hayamizu, Hirohisa Hirukawa and Makoto Yokoo and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Toshihiro Matsui

85 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshihiro Matsui Japan 17 617 347 279 239 226 95 1.4k
Jürgen Adamy Germany 19 880 1.4× 201 0.6× 310 1.1× 206 0.9× 423 1.9× 190 1.7k
Ross A. Knepper United States 25 666 1.1× 948 2.7× 525 1.9× 182 0.8× 192 0.8× 44 2.0k
Kai‐Tai Song Taiwan 23 824 1.3× 1.4k 4.0× 221 0.8× 188 0.8× 119 0.5× 147 2.1k
Tully Foote United States 7 501 0.8× 673 1.9× 204 0.7× 112 0.5× 217 1.0× 8 1.4k
Antonio Sgorbissa Italy 22 351 0.6× 802 2.3× 419 1.5× 113 0.5× 65 0.3× 136 1.5k
Paul E. Rybski United States 29 472 0.8× 878 2.5× 602 2.2× 143 0.6× 323 1.4× 74 2.2k
Tankut Acarman Türkiye 24 605 1.0× 391 1.1× 229 0.8× 257 1.1× 686 3.0× 115 1.8k
Óscar Martínez Mozos Spain 26 296 0.5× 1.5k 4.3× 351 1.3× 265 1.1× 116 0.5× 68 2.2k
Renato Zaccaria Italy 18 332 0.5× 540 1.6× 239 0.9× 83 0.3× 52 0.2× 110 1.2k
Guohui Tian China 21 410 0.7× 758 2.2× 320 1.1× 187 0.8× 56 0.2× 176 1.5k

Countries citing papers authored by Toshihiro Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiro Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiro Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiro Matsui. A scholar is included among the top collaborators of Toshihiro Matsui 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 Toshihiro Matsui. Toshihiro Matsui 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.
Hori, Masaaki & Toshihiro Matsui. (2023). Improving Multi-Agent Reinforcement Learning for Beer Game by Reward Design Based on Payment Mechanism. 7(2). 1–1. 1 indexed citations
2.
Matsui, Toshihiro, et al.. (2010). A quantified distributed constraint optimization problem. Adaptive Agents and Multi-Agents Systems. 1. 1023–1030. 5 indexed citations
3.
Iwasaki, Atsushi, et al.. (2010). Cooperative problem solving against adversary: quantified distributed constraint satisfaction problem. Adaptive Agents and Multi-Agents Systems. 781–788. 4 indexed citations
4.
Matsui, Toshihiro, et al.. (2008). Resource constrained distributed constraint optimization using resource constraint free pseudo-tree. Adaptive Agents and Multi-Agents Systems. 3. 1405–1408. 1 indexed citations
5.
Matsui, Toshihiro & Hiroshi Matsuo. (2007). Improvement of efficiency in pseudo-tree based distributed best first search. 124(4). 273–9. 2 indexed citations
6.
Matsui, Toshihiro, Hiroshi Matsuo, & A. Iwata. (2005). Efficient Methods for Asynchronous Distributed Constraint Optimization Algorithm.. 14(6). 727–732. 4 indexed citations
7.
Matsui, Toshihiro & Hiroshi Matsuo. (2005). Applying Distributed Constraint Optimization Method to Dynamic Problem.. Computational intelligence. 170–175. 1 indexed citations
8.
Tsugawa, Sadayuki, et al.. (2001). DEMO 2000 COOPERATIVE DRIVING: AN OVERVIEW. 2 indexed citations
9.
Asano, Futoshi, Hideki Asoh, & Toshihiro Matsui. (2000). Sound Source Localization and Separation in Near Field. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(11). 2286–2294. 30 indexed citations
10.
Thompson, Simon, Toshihiro Matsui, & Alex Zelinsky. (2000). Localisation using automatically selected landmarks from panoramic images. PLoS ONE. 10(7). e0132654–e0132654. 9 indexed citations
11.
Matsui, Toshihiro, Hideki Asoh, John Fry, et al.. (1999). Integrated natural spoken dialogue system of Jijo-2 mobile robot for office services. National Conference on Artificial Intelligence. 621–627. 42 indexed citations
12.
Asoh, Hideki, et al.. (1998). Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks. International Conference on Neural Information Processing. 256–259. 1 indexed citations
13.
Motomura, Yoichi, Isao Hara, Hideki Asoh, & Toshihiro Matsui. (1997). Bayesian Network that Learns Conditional Probabilities by Neural Networks.. International Conference on Neural Information Processing. 5 indexed citations
14.
Asoh, Hideki, Satoru Hayamizu, Isao Hara, et al.. (1997). Socially embedded learning of the office-conversant mobile robot Jijo-2. International Joint Conference on Artificial Intelligence. 2. 880–885. 68 indexed citations
15.
Matsui, Toshihiro, et al.. (1996). Results of IPTP Character Recognition Competitions and Studies on Multi-expert System for Handprinted Numeral Recognition (Special Issue on Character Recognition and Document Understanding). IEICE Transactions on Information and Systems. 79(5). 429–435. 4 indexed citations
16.
Asano, Futoshi, Satoru Hayamizu, & Toshihiro Matsui. (1996). A Realtime Noise Reduction System using Delay-and-Sum Beamformer and its Application to Speech Recognition. 96(437). 23–30. 5 indexed citations
17.
Matsui, Toshihiro & Satoshi Sekiguchi. (1995). Design and Implementation of Parallel EusLisp Using Multithread. 36(8). 1885–1896. 10 indexed citations
18.
Matsui, Toshihiro, et al.. (1991). An integrated robot teleoperation method using multi-media display. International Symposium on Robotics. 145–152. 13 indexed citations
19.
Matsui, Toshihiro & Masayuki Inaba. (1991). EusLisp: an object-based implementation of Lisp. Journal of information processing. 13(3). 327–338. 101 indexed citations
20.
Hasegawa, Tsutomu, Hiromu Onda, & Toshihiro Matsui. (1991). Collision Avoidance for a Multi-Joint Manipulator Based on Empty Space Analysis of the 3-D Real World. Transactions of the Society of Instrument and Control Engineers. 27(1). 122–128. 1 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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