Suguru Ueda

53 papers receiving 577 citations

Peers

Suguru Ueda
Comparison fields: 5 of 71
  • Management Science and Operations Research 206
  • Economics and Econometrics 219
  • Computational Theory and Mathematics 78
  • Electrical and Electronic Engineering 242
  • Computer Networks and Communications 82
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Bing‐Chang Wang China
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Kenji Saito Japan
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Countries citing papers authored by Suguru Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Suguru Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suguru Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suguru Ueda Line = papers co-authored together Suguru Ueda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201579
2 201052
3
Concise Characteristic Function Representations in Coalitional Games Based on Agent Types
201137
4 198530
5 199124
6
Effect of a collagen shield on cat corneal epithelial wound healing.
198923
7 198923
8 201422
9
Therapeutic applications of a collagen bandage lens: a preliminary report.
198821
10 201819
11 201718
12 199117
13 198616
14 202014
15 198514
16 200213
17 201213
18 200312
19 201111
20 201811

About Suguru Ueda

Suguru Ueda is a scholar working on Management Science and Operations Research, Economics and Econometrics, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 56 papers that have together received 608 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (20 papers), Auction Theory and Applications (19 papers), Analog and Mixed-Signal Circuit Design (11 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Logic, Reasoning, and Knowledge (7 papers), CCD and CMOS Imaging Sensors (5 papers), Game Theory and Applications (5 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Management Science and Operations Research (206 citations), Economics and Econometrics (219 citations), Computational Theory and Mathematics (78 citations), Electrical and Electronic Engineering (242 citations) and Computer Networks and Communications (82 citations). Suguru Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Makoto Yokoo, Atsushi Iwasaki, M. Hotta, Atsushi Iwasaki, Peter Troyan, Katsutoshi Hirayama, Toshihiro Matsui, Marius Calin Silaghi, K. Maruyama and Mari Yoshikawa. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Artificial Intelligence, Constraints, ACM Transactions on Economics and Computation and Autonomous Agents and Multi-Agent Systems.

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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