Naoki Katoh

232 papers receiving 3.2k citations

Naoki Katoh's Hit Papers

Resource Allocation Problems: Algorithmic Approaches 1989 · 502 citations
5020+12+24Years since publication100200300400500

Peers

Naoki Katoh
Comparison fields: 5 of 164
  • Computer Graphics and Computer-Aided Design 582
  • Computational Theory and Mathematics 915
  • Industrial and Manufacturing Engineering 568
  • Signal Processing 438
  • Computer Networks and Communications 874
Replace Teofilo F. Gonzalez with:
Teofilo F. Gonzalez United States
Leo Liberti France
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Jens Vygen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Naoki Katoh

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Katoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naoki Katoh, 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 Naoki Katoh Line = papers co-authored together Naoki Katoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resource Allocation Problems: Algorithmic Approaches
Hit paper breakdown →
1989502
2 1994256
3 1998209
4 1982197
5 199197
6 200084
7 198171
8 199968
9
Parallel K-means Clustering Algorithm on NOWs
200366
10 201154
11 198350
12 199746
13 201845
14 200444
15 197942
16 199136
17 200135
18 198734
19 201431
20 199831

About Naoki Katoh

Naoki Katoh is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 253 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (62 papers), Advanced Graph Theory Research (35 papers), Optimization and Search Problems (33 papers), Complexity and Algorithms in Graphs (33 papers), Digital Image Processing Techniques (25 papers), Facility Location and Emergency Management (21 papers), Optimization and Packing Problems (21 papers) and Vehicle Routing Optimization Methods (20 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (582 citations), Computational Theory and Mathematics (915 citations), Industrial and Manufacturing Engineering (568 citations), Signal Processing (438 citations) and Computer Networks and Communications (874 citations). Naoki Katoh has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Toshihide Ibaraki, Toshihide Ibaraki, Saı̈d Salhi, Hiroshi Imai, Hisashi Mine, Mary Inaba, Shin‐ichi Tanigawa, Makoto Ohsaki, Takeshi Tokuyama and Tetsuo Asano. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Lecture notes in computer science, Journal of Combinatorial Optimization and Discrete & Computational Geometry.

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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