Jun Tarui

562 citations
33 papers · 365 · h-index 11

Impact in

Papers in

Jun Tarui

31 papers receiving 345 citations

Peers

Jun Tarui
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 295
  • Discrete Mathematics and Combinatorics 37
  • Artificial Intelligence 231
  • Computational Mathematics 3
  • Computer Graphics and Computer-Aided Design 10
Replace Satyanarayana V. Lokam with:
Satyanarayana V. Lokam United States
Arnab Bhattacharyya United States
Gudmund Skovbjerg Frandsen Denmark
Kevin Matulef United States
Nicola Galesi Italy
Massimo Lauria Italy
Michael Alekhnovich United States
Dieter van Melkebeek United States
Claus-Peter Schnorr Germany
Pritish Kamath United States
Jun Tarui relative to Satyanarayana V. Lokam United States Satyanarayana V. Lokam's profile →
Citations per field
00.5×1.5×
Satyanarayana V. Lokam · 1×
Citations per year

Countries citing papers authored by Jun Tarui

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tarui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jun Tarui, 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 Jun Tarui Line = papers co-authored together Jun Tarui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994122
2 199340
3 201419
4 200314
5 201314
6 200213
7 200213
8 199612
9 200011
10 200211
11 199211
12 200710
13 20039
14 19999
15 20057
16 19937
17 20107
18 20065
19 20115
20 20075

About Jun Tarui

Jun Tarui is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 33 papers that have together received 365 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (17 papers), Machine Learning and Algorithms (12 papers), semigroups and automata theory (9 papers), Algorithms and Data Compression (8 papers), graph theory and CDMA systems (6 papers), Advanced Graph Theory Research (6 papers), Cryptography and Data Security (5 papers) and Limits and Structures in Graph Theory (5 papers). The work is most often cited by research in Computational Theory and Mathematics (295 citations), Discrete Mathematics and Combinatorics (37 citations), Artificial Intelligence (231 citations), Computational Mathematics (3 citations) and Computer Graphics and Computer-Aided Design (10 citations). Jun Tarui has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Richard Beigel, Kazuyuki Amano, Yoshinori Takei, Toshiya Itoh, Mike Paterson, Peter Bro Miltersen, Mitsunori Ogihara, Akira Maruoka, Seinosuke Toda and David Guijarro. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Discrete Applied Mathematics, Theory of Computing Systems and Journal of the ACM.

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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