Mitsuaki Akiyama
- Signal Processing top 1%
- Advanced Malware Detection Techniques 64
- Information Systems top 1%
- Spam and Phishing Detection 54
- Web Data Mining and Analysis 8
- Software Engineering Research 7
- Information and Cyber Security 6
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- Network Security and Intrusion Detection 52
- Oncology top 10%
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- Internet Traffic Analysis and Secure E-voting 14
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- Carcinogens and Genotoxicity Assessment 7
- Co-authors
- Nori NakamuraTakeshi YagiToshio SeyamaTatsuya MoriK DohiTakashi ItoNaohiro TsuyamaTakuya Mizuno
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Mitsuaki Akiyama
123 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 138
- Signal Processing 485
- Information Systems 503
- Computer Networks and Communications 446
- Endocrinology, Diabetes and Metabolism 319
- Oncology 353
Countries citing papers authored by Mitsuaki Akiyama
This map shows the geographic impact of Mitsuaki Akiyama'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 Mitsuaki Akiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuaki Akiyama more than expected).
Fields of papers citing papers by Mitsuaki Akiyama
This network shows the impact of papers produced by Mitsuaki Akiyama. 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 Mitsuaki Akiyama. The network helps show where Mitsuaki Akiyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsuaki Akiyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | Why They Ignore English Emails: The Challenges of Non-Native Speakers in Identifying Phishing Emails. | 2021 | 6 |
| 5 | Dynamic Analysis of Persistent IoT Malware UsingAdaptive Sandbox | 2021 | 1 |
| 6 | 2020 | 3 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 12 | |
| 9 | DomainScouter: Understanding the Risks of Deceptive IDNs. | 2019 | 8 |
| 10 | Understanding the inconsistencies between text descriptions and the use of privacy-sensitive resources of mobile apps | 2015 | 31 |
| 11 | 2012 | 2 | |
| 12 | 2012 | 8 | |
| 13 | 2010 | 2 | |
| 14 | An Empirical Investigation of Gumblar Evolution | 2010 | 1 |
| 15 | 2009 | 10 | |
| 16 | 1997 | 10 | |
| 17 | The CO_2_ Flux Estimation in the North Pacific Ocean Based on Satellite and Ship Data | 1995 | 2 |
| 18 | 1995 | 50 | |
| 19 | 1993 | 101 | |
| 20 | An analytic correction method for satellite MSS geometric distortions | 1981 | 7 |
About Mitsuaki Akiyama
Mitsuaki Akiyama is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (64 papers), Spam and Phishing Detection (54 papers), Network Security and Intrusion Detection (52 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Web Data Mining and Analysis (8 papers), Software Engineering Research (7 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Information and Cyber Security (6 papers). The work is most often cited by research in Signal Processing (485 citations), Information Systems (503 citations) and Computer Networks and Communications (446 citations). Mitsuaki Akiyama has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Nori Nakamura, Takeshi Yagi, Toshio Seyama, Tatsuya Mori, K Dohi, Takashi Ito, Naohiro Tsuyama, Takuya Mizuno, Daiki Chiba and Takako Hayashi. Their work appears in journals such as IEEE Access, Computers & Security, Blood, Radiation Research and International Journal of Radiation Biology.
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.