Yushi Uno

35 papers receiving 231 citations

Peers

Yushi Uno
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 188
  • Computer Networks and Communications 70
  • Electrical and Electronic Engineering 52
  • Artificial Intelligence 38
  • Computer Vision and Pattern Recognition 28
Replace Ioan Todinca with:
Ioan Todinca France
Janka Chlebı́ková Slovakia
Rossella Petreschi Italy
Ignasi Sau France
Yota Otachi Japan
Igor Razgon Ireland
Robin A. Moser Switzerland
Sundar Vishwanathan India
Jonathan F. Buss Canada
Geir Agnarsson United States
Yushi Uno relative to Ioan Todinca France Ioan Todinca's profile →
Citations per field
00.5×2.9×
Ioan Todinca · 1×
Citations per year

Countries citing papers authored by Yushi Uno

Since Specialization
Citations

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

Fields of papers citing papers by Yushi Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushi Uno

This figure shows the co-authorship network connecting the top 25 collaborators of Yushi Uno. A scholar is included among the top collaborators of Yushi Uno 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 Yushi Uno. Yushi Uno 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
#WorkIndexed citations
1 0
2 3
3 1
4 3
5 2
6 5
7 1
8 1
9 3
10 1
11 5
12
Computational complexity and an integer programming model of Shakashaka
3
13 1
14
The Complexity of Free Flood Filling Games
1
15 87
16 10
17
An Algorithm for L(2, 1)-Labeling of Trees.
1
18 7
19 1
20
Reachability Problems of Random Digraphs
1

About Yushi Uno

Yushi Uno is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Space and Planetary Science, having authored 39 papers that have together received 246 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (20 papers), Complexity and Algorithms in Graphs (13 papers) and Artificial Intelligence in Games (8 papers). The work is most often cited by research in Computational Theory and Mathematics (188 citations), Discrete Mathematics and Combinatorics (24 citations) and Computer Graphics and Computer-Aided Design (20 citations). Yushi Uno has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ryuhei Uehara, Erik D. Demaine, Nicholas J. A. Harvey, Takehiro Ito, Christos H. Papadimitriou, Martha Sideri, Hirotaka Ono, Toru Hasunuma, Yoshio Okamoto and Toshihide Ibaraki. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science and Discrete Applied Mathematics.

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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