Jun Muramatsu

70 papers receiving 620 citations

Peers

Jun Muramatsu
Comparison fields: 5 of 48
  • Acoustics and Ultrasonics 18
  • Statistical and Nonlinear Physics 180
  • Computer Networks and Communications 313
  • Computer Vision and Pattern Recognition 171
  • Artificial Intelligence 205
Replace Evangelos Pikasis with:
Evangelos Pikasis Greece
Jonathan N. Blakely United States
James Nechvatal United States
Lawrence E. Bassham United States
Xiaowen Li China
Boulat A. Bash United States
Elad Cohen Israel
A. S. Dmitriev Russia
Jianhong Xiang China
Anke Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Muramatsu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Muramatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 200763
3 201361
4 200548
5 201228
6 201025
7 201423
8 201221
9 200321
10 200715
11 201515
12 200812
13 201212
14 200312
15 200611
16 201110
17 20039
18 20058
19 20047
20 20067

About Jun Muramatsu

Jun Muramatsu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 72 papers that have together received 663 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (22 papers), Error Correcting Code Techniques (21 papers), Cellular Automata and Applications (20 papers), Cooperative Communication and Network Coding (16 papers), DNA and Biological Computing (16 papers), Chaos-based Image/Signal Encryption (12 papers), Underwater Vehicles and Communication Systems (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (18 citations), Statistical and Nonlinear Physics (180 citations), Computer Networks and Communications (313 citations), Computer Vision and Pattern Recognition (171 citations) and Artificial Intelligence (205 citations). Jun Muramatsu has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Peter Davis, Kazuyuki Yoshimura, Atsushi Uchida, Hiroki Aida, Takahisa Harayama, Haruka Okumura, Tadashi Wadayama, Tomohiko Uyematsu, F. Kanaya and K. Asakawa. Their work appears in journals such as IEEE Transactions on Information Theory, Optics Express, Scientific Reports, IEEE Journal of Oceanic Engineering and Physical Review Letters.

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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