Suguru Ueda

49 papers receiving 482 citations

Peers

Suguru Ueda
Comparison fields: 5 of 68
  • Management Science and Operations Research 141
  • Economics and Econometrics 150
  • Electrical and Electronic Engineering 232
  • Computational Theory and Mathematics 53
  • Computer Networks and Communications 71
Replace Leon Wu with:
Leon Wu United States
Jian Yao China
Sergey V. Muravyov Russia
Alan Blair Australia
Eduardo Mendes France
Seungwoo Jeon South Korea
Seunghyun Oh South Korea
Jun Kawahara Japan
Changzhou Wang China
Suguru Ueda relative to Leon Wu United States Leon Wu's profile →
Citations per field
00.5×8.3×
Leon Wu · 1×
Citations per year

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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 201043
3 198527
4 199122
5 198922
6
Therapeutic applications of a collagen bandage lens: a preliminary report.
198821
7
Effect of a collagen shield on cat corneal epithelial wound healing.
198920
8 201418
9 198618
10 199118
11 201817
12 201715
13 198513
14 202012
15 200311
16 200211
17 201110
18 20129
19 20189
20 20199

About Suguru Ueda

Suguru Ueda is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Economics and Econometrics, Biomedical Engineering and Artificial Intelligence, having authored 51 papers that have together received 509 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (16 papers), Auction Theory and Applications (15 papers), Analog and Mixed-Signal Circuit Design (11 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Logic, Reasoning, and Knowledge (6 papers), CCD and CMOS Imaging Sensors (5 papers), Complexity and Algorithms in Graphs (4 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Management Science and Operations Research (141 citations), Economics and Econometrics (150 citations), Electrical and Electronic Engineering (232 citations), Computational Theory and Mathematics (53 citations) and Computer Networks and Communications (71 citations). Suguru Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Makoto Yokoo, M. Hotta, Atsushi Iwasaki, Peter Troyan, Atsushi Iwasaki, Marius Silaghi, Katsutoshi Hirayama, Toshihiro Matsui, Mari Yoshikawa and Takanobu Watanabe. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Artificial Intelligence, Constraints, IEEE Transactions on Biomedical Engineering 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.

Explore authors with similar magnitude of impact