Devrim Ünal

2.0k citations
39 papers · 1.5k · 2 hit papers · h-index 18

Impact in

Papers in

Devrim Ünal

38 papers receiving 1.4k citations

Devrim Ünal's Hit Papers

Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security 2020 · 306 citations
3060+2+4Years since publication100200300

Peers

Devrim Ünal
Comparison fields: 5 of 89
  • Computer Networks and Communications 806
  • Signal Processing 325
  • Information Systems 564
  • Health Informatics 24
  • Artificial Intelligence 500
Replace Randhir Kumar with:
Randhir Kumar India
Chamseddine Talhi Canada
Weixian Liao United States
Luigi Coppolino Italy
Hongliang Zhu China
Chang Xu China
Hui Zhu China
Hossam Hawash Egypt
Pushpita Chatterjee United States
Ashish Singh India
Devrim Ünal relative to Randhir Kumar India Randhir Kumar's profile →
Citations per field
00.5×
Randhir Kumar · 1×
Citations per year

Countries citing papers authored by Devrim Ünal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Devrim Ünal Line = papers co-authored together Devrim Ünal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security
Hit paper breakdown →
2020306
2
Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study
Hit paper breakdown →
2020229
3 2018135
4 2020130
5 202194
6 202254
7 202050
8 201946
9 202245
10 202242
11 202139
12 202139
13 202131
14 202229
15 202420
16 202219
17 201419
18 202418
19 201217
20 201916

About Devrim Ünal

Devrim Ünal is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Control and Systems Engineering, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Blockchain Technology Applications and Security (7 papers), Advanced Malware Detection Techniques (7 papers), IoT and Edge/Fog Computing (6 papers), Cryptography and Data Security (5 papers), Advanced Authentication Protocols Security (5 papers), User Authentication and Security Systems (5 papers) and Access Control and Trust (5 papers). The work is most often cited by research in Computer Networks and Communications (806 citations), Signal Processing (325 citations), Information Systems (564 citations), Health Informatics (24 citations) and Artificial Intelligence (500 citations). Devrim Ünal has collaborated with scholars based in Qatar, United Kingdom and Türkiye. Frequent co-authors include Ali Ghubaish, Raj Jain, Tara Salman, Mohammad Hammoudeh, Abdulla Al‐Ali, Maede Zolanvari, Ferhat Özgür Çatak, Gregory Epiphaniou, Ridha Hamila and Abdelrahman Abuarqoub. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, IEEE Open Journal of the Communications Society, Big Data and Computer Networks.

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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