Koji Nakano

4.1k citations
281 papers · 2.6k · h-index 26

Impact in

Papers in

Koji Nakano

258 papers receiving 2.5k citations

Peers

Koji Nakano
Comparison fields: 5 of 131
  • Hardware and Architecture 582
  • Computer Networks and Communications 854
  • Computer Graphics and Computer-Aided Design 101
  • Computer Vision and Pattern Recognition 571
  • Artificial Intelligence 848
Replace Selim G. Akl with:
Selim G. Akl Canada
Jinho Lee South Korea
Nicola Santoro Canada
Ken A. Hawick New Zealand
Zizhong Chen United States
David Z. Pan United States
Leonel Sousa Portugal
Donald E. Thomas United States
Ninghui Sun China
Sally A. McKee United States
Koji Nakano relative to Selim G. Akl Canada Selim G. Akl's profile →
Citations per field
00.5×3.5×
Selim G. Akl · 1×
Citations per year

Countries citing papers authored by Koji Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Koji Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 201077
3 200673
4 200067
5 200266
6 201159
7 200648
8 200644
9 201243
10 200343
11 201141
12 201340
13 199536
14 201136
15 201136
16 201134
17 199934
18 200333
19 200032
20 200331

About Koji Nakano

Koji Nakano is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture and Computational Theory and Mathematics, having authored 281 papers that have together received 2.6k indexed citations. Recurring topics across this work include Algorithms and Data Compression (56 papers), Parallel Computing and Optimization Techniques (44 papers), Interconnection Networks and Systems (32 papers), Mobile Ad Hoc Networks (24 papers), Network Packet Processing and Optimization (24 papers), Digital Image Processing Techniques (23 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Cooperative Communication and Network Coding (19 papers). The work is most often cited by research in Hardware and Architecture (582 citations), Computer Networks and Communications (854 citations), Computer Graphics and Computer-Aided Design (101 citations), Computer Vision and Pattern Recognition (571 citations) and Artificial Intelligence (848 citations). Koji Nakano has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Yasuaki Ito, Stephan Olariu, Jacir L. Bordim, Tatsuya Hayashi, Albert Y. Zomaya, Xin Zhou, J.L. Schwing, Koichi Wada, C.R. Crowell and Masaki Fujita. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, International Journal of Foundations of Computer Science, Journal of Parallel and Distributed Computing, Biochemical and Biophysical Research Communications and physica status solidi (a).

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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