F. Boray Tek
Impact in
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- Digital Imaging for Blood Diseases
- Face and Expression Recognition
- Face recognition and analysis
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
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- Digital Imaging for Blood Diseases 8
- Medical Image Segmentation Techniques 2
- Image and Object Detection Techniques 2
- Face and Expression Recognition 2
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- AI in cancer detection 6
- Natural Language Processing Techniques 3
- Co-authors
- İzzet Kale (8 shared papers)Andrew G. Dempster (6 shared papers)Gözde Bozdağı Akar (2 shared papers)Maria Petrou (1 shared paper)Sanun Srisuk (1 shared paper)A. Kadyrov (1 shared paper)Fabien Cardinaux (1 shared paper)Samy Bengio (1 shared paper)
- Journals
- IEEE Access (2 papers)Computer Vision and Image Understanding (1 paper)Malaria Journal (1 paper)Journal of Pathology Informatics (1 paper)Electronics Letters (1 paper)
- Partner nations
- TürkiyeUnited KingdomAustralia
In The Last Decade
F. Boray Tek
32 papers receiving 700 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 576
- Biophysics 130
- Media Technology 197
- Developmental Biology 23
- Signal Processing 81
Countries citing papers authored by F. Boray Tek
This map shows the geographic impact of F. Boray Tek'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 F. Boray Tek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Boray Tek more than expected).
Fields of papers citing papers by F. Boray Tek
This network shows the impact of papers produced by F. Boray Tek. 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 F. Boray Tek. The network helps show where F. Boray Tek may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Boray Tek, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | 2009 | 127 | |
| 3 | 2006 | 98 | |
| 4 | 2003 | 78 | |
| 5 | 2013 | 53 | |
| 6 | 2005 | 43 | |
| 7 | 2018 | 33 | |
| 8 | 2021 | 26 | |
| 9 | 2003 | 26 | |
| 10 | 2014 | 14 | |
| 11 | 2006 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 2014 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2012 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About F. Boray Tek
F. Boray Tek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Signal Processing, having authored 36 papers that have together received 748 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), Retinal Imaging and Analysis (6 papers), AI in cancer detection (6 papers), Image Processing Techniques and Applications (5 papers), Natural Language Processing Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Image and Object Detection Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Biophysics (130 citations), Media Technology (197 citations), Developmental Biology (23 citations) and Signal Processing (81 citations). F. Boray Tek has collaborated with scholars based in Türkiye, United Kingdom and Australia. Frequent co-authors include İzzet Kale, Andrew G. Dempster, Gözde Bozdağı Akar, Maria Petrou, Sanun Srisuk, A. Kadyrov, Fabien Cardinaux, Samy Bengio, Farzin Deravi and Kieron Messer. Their work appears in journals such as IEEE Access, Computer Vision and Image Understanding, Malaria Journal, Journal of Pathology Informatics and Electronics Letters.
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.