Rifat Edizkan
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 5
- Neural Networks and Applications 4
- Anomaly Detection Techniques and Applications 3
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- Face and Expression Recognition 11
- Face recognition and analysis 5
- Image Retrieval and Classification Techniques 4
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- Speech and Audio Processing 3
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- Indoor and Outdoor Localization Technologies 2
- Co-authors
- Serkan GünalFatih Onur HocaoğluEmre AkarslanÖmer Nezih GerekD.G. EceAhmet YazıcıAtalay BarkanaM. Bilginer Gülmezoğlu
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (2 papers)Energy (1 paper)
In The Last Decade
Rifat Edizkan
28 papers receiving 367 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 187
- Computer Vision and Pattern Recognition 76
- Signal Processing 39
- Renewable Energy, Sustainability and the Environment 50
- Media Technology 24
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
The 13 scholars most cited alongside Rifat Edizkan, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2018 | 46 | |
| 8 | DCV-based Face Recognition System and Its Application on the Embedded Development Board | 2016 | 0 |
| 9 | 2014 | 2 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 1 | |
| 12 | 2014 | 45 | |
| 13 | 2013 | 4 | |
| 14 | 2013 | 1 | |
| 15 | 2012 | 36 | |
| 16 | 2009 | 5 | |
| 17 | 2008 | 2 | |
| 18 | 2008 | 87 | |
| 19 | 2006 | 0 | |
| 20 | Improvements on common vector approach for multi class problems | 2005 | 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), Speech Recognition and Synthesis (5 papers), Neural Networks and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Speech and Audio Processing (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (2 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.