Devrim Ünal
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- Network Security and Intrusion Detection 10
- IoT and Edge/Fog Computing 5
- Signal Processing top 2%
- Advanced Malware Detection Techniques 7
- Information Systems top 1%
- Blockchain Technology Applications and Security 6
- User Authentication and Security Systems 5
- Artificial Intelligence top 5%
- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 5
- Health Informatics top 10%
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- Smart Grid Security and Resilience 5
- Co-authors
- Ali GhubaishMohammad HammoudehRaj JainTara SalmanAbdulla Al‐AliMaede ZolanvariGregory EpiphaniouFerhat Özgür Çatak
- Journals
- IEEE Access (3 papers)Wireless Communications and Mobile Computing (2 papers)Ad Hoc Networks (1 paper)
- Partner nations
- QatarUnited KingdomUnited States
In The Last Decade
Devrim Ünal
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 691
- Signal Processing 274
- Information Systems 482
- Artificial Intelligence 439
- Health Informatics 15
Countries citing papers authored by Devrim Ünal
This map shows the geographic impact of Devrim Ünal'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 Devrim Ünal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devrim Ünal more than expected).
Fields of papers citing papers by Devrim Ünal
This network shows the impact of papers produced by Devrim Ünal. 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 Devrim Ünal. The network helps show where Devrim Ünal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Devrim Ünal, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 41 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 82 | |
| 14 | 2021 | 25 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 113 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 15 | |
| 19 | 2012 | 1 | |
| 20 | 2006 | 2 |
About Devrim Ünal
Devrim Ünal is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Toxicology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers), Blockchain Technology Applications and Security (6 papers), Smart Grid Security and Resilience (5 papers), IoT and Edge/Fog Computing (5 papers), Cryptography and Data Security (5 papers), User Authentication and Security Systems (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Computer Networks and Communications (691 citations), Signal Processing (274 citations), Information Systems (482 citations), Artificial Intelligence (439 citations) and Health Informatics (15 citations). Devrim Ünal has collaborated with scholars based in Qatar, United Kingdom and United States. Frequent co-authors include Ali Ghubaish, Mohammad Hammoudeh, Raj Jain, Tara Salman, Abdulla Al‐Ali, Maede Zolanvari, Gregory Epiphaniou, Ferhat Özgür Çatak, Ridha Hamila and Mehmet Sabi̇r Kiraz. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Ad Hoc Networks, Computer Networks and Big Data.
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.