Resul Daş
Impact in
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 28
- IoT and Edge/Fog Computing 6
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- Internet Traffic Analysis and Secure E-voting 7
- Anomaly Detection Techniques and Applications 6
- Co-authors
- Muhammed Zekeriya Gündüz (5 shared papers)İbrahim Türkoğlu (11 shared papers)Abdulkadir Şengür (3 shared papers)Muhammet Baykara (14 shared papers)Gürkan Tuna (15 shared papers)Mariam Zomorodi‐Moghadam (1 shared paper)I‐Hsien Ting (1 shared paper)Moloud Abdar (1 shared paper)
In The Last Decade
Resul Daş
86 papers receiving 2.2k citations
Resul Daş's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Information Management 524
- Signal Processing 365
- Computer Networks and Communications 718
- Medical Laboratory Technology 40
- Artificial Intelligence 823
Countries citing papers authored by Resul Daş
This map shows the geographic impact of Resul Daş'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 Resul Daş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Resul Daş more than expected).
Fields of papers citing papers by Resul Daş
This network shows the impact of papers produced by Resul Daş. 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 Resul Daş. The network helps show where Resul Daş may publish in the future.
Co-authors
The 24 scholars most cited alongside Resul Daş, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cyber-security on smart grid: Threats and potential solutions Hit paper breakdown → | 2020 | 460 |
| 2 | Effective diagnosis of heart disease through neural networks ensembles Hit paper breakdown → | 2008 | 436 |
| 3 | 2009 | 299 | |
| 4 | 2016 | 114 | |
| 5 | A review on fog computing: Issues, characteristics, challenges, and potential applications Hit paper breakdown → | 2023 | 96 |
| 6 | 2008 | 88 | |
| 7 | 2022 | 75 | |
| 8 | 2018 | 74 | |
| 9 | A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks Hit paper breakdown → | 2024 | 69 |
| 10 | 2018 | 68 | |
| 11 | 2009 | 66 | |
| 12 | 2008 | 47 | |
| 13 | Analysis of cyber-attacks in IoT-based critical infrastructures | 2020 | 36 |
| 14 | 2015 | 24 | |
| 15 | 2023 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2017 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2017 | 19 |
About Resul Daş
Resul Daş is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Control and Systems Engineering, having authored 101 papers that have together received 2.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (22 papers), Smart Grid Security and Resilience (14 papers), Internet Traffic Analysis and Secure E-voting (7 papers), IoT and Edge/Fog Computing (6 papers), Complex Network Analysis Techniques (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Health Information Management (524 citations), Signal Processing (365 citations), Computer Networks and Communications (718 citations), Medical Laboratory Technology (40 citations) and Artificial Intelligence (823 citations). Resul Daş has collaborated with scholars based in Türkiye, Spain and Iran. Frequent co-authors include Muhammed Zekeriya Gündüz, İbrahim Türkoğlu, Abdulkadir Şengür, Muhammet Baykara, Gürkan Tuna, Mariam Zomorodi‐Moghadam, I‐Hsien Ting, Moloud Abdar, Bihter Daş and Talha Burak Alakuş. Their work appears in journals such as Expert Systems with Applications, Chemometrics and Intelligent Laboratory Systems, Computer Networks, Internet of Things and Information Fusion.
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.