Enis Karaarslan
- Artificial Intelligence top 5%
- Health Informatics top 0.2%
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications top 10%
- Co-authors
- Ömer AydınEmre ErtürkMurat DoğanUğur ÖzcanAli HürriyetoğluÜmit CaliVukica JovanovićMurat Kuzlu
- Topics
- Blockchain Technology Applications and Security (9 papers)IoT and Edge/Fog Computing (6 papers)Advanced Malware Detection Techniques (4 papers)
In The Last Decade
Enis Karaarslan
33 papers receiving 698 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 279
- Health Informatics 278
- Information Systems 176
- Radiology, Nuclear Medicine and Imaging 91
- Computer Networks and Communications 90
Countries citing papers authored by Enis Karaarslan
This map shows the geographic impact of Enis Karaarslan'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 Enis Karaarslan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enis Karaarslan more than expected).
Fields of papers citing papers by Enis Karaarslan
This network shows the impact of papers produced by Enis Karaarslan. 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 Enis Karaarslan. The network helps show where Enis Karaarslan may publish in the future.
Co-authorship network of co-authors of Enis Karaarslan
This figure shows the co-authorship network connecting the top 25 collaborators of Enis Karaarslan. A scholar is included among the top collaborators of Enis Karaarslan 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 Enis Karaarslan. Enis Karaarslan 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 76 | |
| 7 | 109 | |
| 8 | 2 | |
| 9 | Measuring The Robustness of AI Models Against Adversarial Attacks: Thyroid Ultrasound Images Case Study | 1 |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 40 | |
| 19 | 20 | |
| 20 | 3 |
About Enis Karaarslan
Enis Karaarslan is a scholar working on Health Informatics, Information Systems and Human-Computer Interaction, having authored 37 papers that have together received 744 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Health Informatics (278 citations), Computer Science Applications (60 citations) and Artificial Intelligence (279 citations). Enis Karaarslan has collaborated with scholars based in Türkiye, Norway and Belgium. Frequent co-authors include Ömer Aydın, Emre Ertürk, Murat Doğan, Uğur Özcan, Ömer Aydın, Ali Hürriyetoğlu, Ümit Cali, Vukica Jovanović, Murat Kuzlu and Mina Fanea‐Ivanovici. Their work appears in journals such as IEEE Communications Standards Magazine, Earth Science Informatics and TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER 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.