Koji Nakao
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Daisuke InoueJungsuk SongYasuo OkabeMasashi EtoHiroki TakakuraM. YamamotoMasaru KuboKatsunari Yoshioka
- Topics
- Network Security and Intrusion Detection (41 papers)Advanced Malware Detection Techniques (30 papers)Internet Traffic Analysis and Secure E-voting (19 papers)
In The Last Decade
Koji Nakao
64 papers receiving 748 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 565
- Artificial Intelligence 392
- Signal Processing 363
- Information Systems 161
- Electrical and Electronic Engineering 129
Countries citing papers authored by Koji Nakao
This map shows the geographic impact of Koji Nakao'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 Nakao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Nakao more than expected).
Fields of papers citing papers by Koji Nakao
This network shows the impact of papers produced by Koji Nakao. 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 Nakao. The network helps show where Koji Nakao may publish in the future.
Co-authorship network of co-authors of Koji Nakao
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Nakao. A scholar is included among the top collaborators of Koji Nakao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koji Nakao. Koji Nakao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | Dynamic Analysis of Persistent IoT Malware UsingAdaptive Sandbox | 1 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | NONSTOP: Secure Remote Analysis Platform for Cybersecurity Information | 1 |
| 9 | 6 | |
| 10 | DAEDALUS-VIZ: Novel real-time 3D visualization for darknet monitoring-based alert system | 2 |
| 11 | 2 | |
| 12 | A Practical Usage of Large-scale Darknet Monitoring for Disaster Recovery | 1 |
| 13 | Proposal and Consideration for An Anonymity Method for Widespred High-Speed Incident Analysis System(II) | 0 |
| 14 | 4 | |
| 15 | 18 | |
| 16 | Performance evaluation of cooperative transmission in wireless sensor networks using FPGA | 1 |
| 17 | Visualization Technologies of nicter Incident Analysis System | 1 |
| 18 | 2 | |
| 19 | Measurement of Surface Tension of Liquid Ga Base Alloys by a Sessile Drop Method | 33 |
| 20 | 0 |
About Koji Nakao
Koji Nakao is a scholar working on Signal Processing, Computer Networks and Communications and Software, having authored 73 papers that have together received 793 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (41 papers), Advanced Malware Detection Techniques (30 papers) and Internet Traffic Analysis and Secure E-voting (19 papers). The work is most often cited by research in Signal Processing (363 citations), Computer Networks and Communications (565 citations) and Artificial Intelligence (392 citations). Koji Nakao has collaborated with scholars based in Japan, China and France. Frequent co-authors include Daisuke Inoue, Jungsuk Song, Yasuo Okabe, Masashi Eto, Hiroki Takakura, Masashi Eto, M. Yamamoto, Masaru Kubo, Katsunari Yoshioka and Takeshi Takahashi. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and Information Sciences.
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.