Atilla Özgür
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Industrial and Manufacturing Engineering top 10%
- Control and Systems Engineering
- Topics
- Network Security and Intrusion Detection (6 papers)Anomaly Detection Techniques and Applications (6 papers)Advanced Malware Detection Techniques (6 papers)
- Journals
- Computers & Industrial EngineeringIEEE Geoscience and Remote Sensing LettersDigital Signal Processing
- Partner nations
- TürkiyeGermanyUnited States
In The Last Decade
Atilla Özgür
18 papers receiving 329 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 212
- Computer Networks and Communications 190
- Signal Processing 120
- Industrial and Manufacturing Engineering 32
- Control and Systems Engineering 26
Countries citing papers authored by Atilla Özgür
This map shows the geographic impact of Atilla Özgür'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 Atilla Özgür with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atilla Özgür more than expected).
Fields of papers citing papers by Atilla Özgür
This network shows the impact of papers produced by Atilla Özgür. 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 Atilla Özgür. The network helps show where Atilla Özgür may publish in the future.
Co-authorship network of co-authors of Atilla Özgür
This figure shows the co-authorship network connecting the top 25 collaborators of Atilla Özgür. A scholar is included among the top collaborators of Atilla Özgür 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 Atilla Özgür. Atilla Özgür 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 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 60 | |
| 10 | Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems | 7 |
| 11 | Demokrat Parti dönemi hayvancılık politikaları ve veteriner hekimliği hizmetleri | 0 |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 104 | |
| 16 | 12 | |
| 17 | 90 | |
| 18 | 2 | |
| 19 | Hayvanlarla yaşamı paylaşmak | 0 |
| 20 | Learning Styles: Definitions, models and functions | 7 |
About Atilla Özgür
Atilla Özgür is a scholar working on Signal Processing, Artificial Intelligence and Ophthalmology, having authored 22 papers that have together received 338 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Signal Processing (120 citations), Computer Networks and Communications (190 citations) and Artificial Intelligence (212 citations). Atilla Özgür has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Hamit Erdem, Yılmaz Uygun, Marc‐Thorsten Hütt and Müjdat Çetin. Their work appears in journals such as Computers & Industrial Engineering, IEEE Geoscience and Remote Sensing Letters and Digital Signal Processing.
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.