Jun Tarui

563 citations
19 papers · 222 · h-index 8

Impact in

Papers in

Jun Tarui

18 papers receiving 203 citations

Peers

Jun Tarui
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 181
  • Discrete Mathematics and Combinatorics 28
  • Artificial Intelligence 138
  • Algebra and Number Theory 8
  • Computer Graphics and Computer-Aided Design 6
Replace Kevin Matulef with:
Kevin Matulef United States
Ajai Kapoor Italy
Garth Isaak United States
Zbigniew Lonc Poland
Johan M. M. van Rooij Netherlands
Isolde Adler Germany
Alexander Ushakov United States
A. Ehrenfeucht United States
Jakub Onufry Wojtaszczyk Poland
Pritish Kamath United States
Jun Tarui relative to Kevin Matulef United States Kevin Matulef's profile →
Citations per field
00.5×1.5×2.2×
Kevin Matulef · 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 10 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

19 of 19 papers shown
#Work
1 199495
2 199329
3 201314
4 200313
5 20009
6 20078
7 20028
8 20038
9 20027
10 20027
11 19966
12 20106
13
On Complexity of Computing the Permanent of a Rectangular Matrix
19993
14 19923
15 20112
16
Proceedings of the 8th annual conference on Theory and applications of models of computation
20111
17 20081
18 20101
19 20081

About Jun Tarui

Jun Tarui is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 19 papers that have together received 222 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (9 papers), semigroups and automata theory (6 papers), Advanced Graph Theory Research (5 papers), Machine Learning and Algorithms (5 papers), Limits and Structures in Graph Theory (4 papers), graph theory and CDMA systems (4 papers), Algorithms and Data Compression (3 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (181 citations), Discrete Mathematics and Combinatorics (28 citations), Artificial Intelligence (138 citations), Algebra and Number Theory (8 citations) and Computer Graphics and Computer-Aided Design (6 citations). Jun Tarui has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Richard Beigel, Toshiya Itoh, Yoshinori Takei, Kazuyuki Amano, Peter Bro Miltersen, Mike Paterson, Tsutomu Kawabata, Akira Maruoka, Mitsunori Ogihara and Kazuo Iwama. Their work appears in journals such as Theoretical Computer Science, Journal of the ACM, Computational Complexity, Discrete Mathematics 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.

Explore authors with similar magnitude of impact