Eyüp Gedіklі
-
- Advanced Multi-Objective Optimization Algorithms 4
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 7
-
- Human Pose and Action Recognition 4
- Video Surveillance and Tracking Methods 4
- Digital Imaging for Blood Diseases 3
-
- Hand Gesture Recognition Systems 5
-
- Image Processing Techniques and Applications 4
-
- Gait Recognition and Analysis 4
- Co-authors
- Sefa ArasHamdi Tolga KahramanMurat EkіncіSelen AyasMehmet ÖzerenMehmet AlkanatGüzin UlutaşÖzcan Özyurt
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (1 paper)Information Sciences (1 paper)
- Partner nations
- TürkiyeKazakhstan
In The Last Decade
Eyüp Gedіklі
20 papers receiving 414 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 108
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 91
- Industrial and Manufacturing Engineering 26
- Energy Engineering and Power Technology 8
Countries citing papers authored by Eyüp Gedіklі
This map shows the geographic impact of Eyüp Gedіklі'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 Eyüp Gedіklі with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyüp Gedіklі more than expected).
Fields of papers citing papers by Eyüp Gedіklі
This network shows the impact of papers produced by Eyüp Gedіklі. 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 Eyüp Gedіklі. The network helps show where Eyüp Gedіklі may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Eyüp Gedіklі, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 210 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 4 | |
| 15 | 2015 | 13 | |
| 16 | 2010 | 1 | |
| 17 | 2008 | 25 | |
| 18 | 2007 | 4 | |
| 19 | 2007 | 0 | |
| 20 | Silhouette Based Human Motion Detection and Analysis for Real-Time Automated Video Surveillance | 2005 | 28 |
About Eyüp Gedіklі
Eyüp Gedіklі is a scholar working on General Dentistry, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 430 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Hand Gesture Recognition Systems (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Processing Techniques and Applications (4 papers), Gait Recognition and Analysis (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Artificial Intelligence (190 citations) and Computer Vision and Pattern Recognition (91 citations). Eyüp Gedіklі has collaborated with scholars based in Türkiye and Kazakhstan. Frequent co-authors include Sefa Aras, Hamdi Tolga Kahraman, Murat Ekіncі, Selen Ayas, Mehmet Özeren, Mehmet Alkanat, Güzin Ulutaş, Özcan Özyurt, Zafer Cömert and Uğur Güvenç. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information 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.