Rifat Edizkan
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Signal Processing
- Co-authors
- Serkan GünalFatih Onur HocaoğluEmre AkarslanÖmer Nezih GerekD.G. EceAhmet YazıcıAtalay BarkanaM. Bilginer Gülmezoğlu
- Topics
- Face and Expression Recognition (11 papers)Face recognition and analysis (5 papers)Speech Recognition and Synthesis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsEnergy
In The Last Decade
Rifat Edizkan
28 papers receiving 367 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 187
- Electrical and Electronic Engineering 143
- Computer Vision and Pattern Recognition 76
- Renewable Energy, Sustainability and the Environment 50
- Signal Processing 39
Countries citing papers authored by Rifat Edizkan
This map shows the geographic impact of Rifat Edizkan'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 Rifat Edizkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rifat Edizkan more than expected).
Fields of papers citing papers by Rifat Edizkan
This network shows the impact of papers produced by Rifat Edizkan. 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 Rifat Edizkan. The network helps show where Rifat Edizkan may publish in the future.
Co-authorship network of co-authors of Rifat Edizkan
This figure shows the co-authorship network connecting the top 25 collaborators of Rifat Edizkan. A scholar is included among the top collaborators of Rifat Edizkan 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 Rifat Edizkan. Rifat Edizkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 46 | |
| 8 | DCV-based Face Recognition System and Its Application on the Embedded Development Board | 0 |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 45 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 87 | |
| 19 | 0 | |
| 20 | Improvements on common vector approach for multi class problems | 4 |
About Rifat Edizkan
Rifat Edizkan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 33 papers that have together received 388 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Computer Vision and Pattern Recognition (76 citations) and Signal Processing (39 citations). Rifat Edizkan has collaborated with scholars based in Türkiye and Czechia. Frequent co-authors include Serkan Günal, Fatih Onur Hocaoğlu, Emre Akarslan, Ömer Nezih Gerek, D.G. Ece, Ahmet Yazıcı, Atalay Barkana, M. Bilginer Gülmezoğlu, Bayram Çetişli and Hakan Çevıkalp. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy.
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.