F. Boray Tek
Impact in
-
- Digital Imaging for Blood Diseases
- Media Technology top 2%
- Image Processing Techniques and Applications
Papers in
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- Digital Imaging for Blood Diseases 8
- Co-authors
- İzzet KaleAndrew G. DempsterGözde Bozdağı AkarShawn MikulaThorben KroegerFred A. HamprechtGareth BeddoeFlavio Cannavò
- Journals
- IEEE Access (2 papers)Ecological Informatics (1 paper)Electronics Letters (1 paper)Journal of Pathology Informatics (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- TürkiyeUnited KingdomAustralia
In The Last Decade
F. Boray Tek
28 papers receiving 484 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 386
- Media Technology 160
- Biophysics 98
- Developmental Biology 22
- Artificial Intelligence 119
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-authorship network
The 13 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 29 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2013 | 51 | |
| 14 | 2013 | 2 | |
| 15 | 2012 | 2 | |
| 16 | 2009 | 102 | |
| 17 | 2009 | 144 | |
| 18 | 2006 | 7 | |
| 19 | 2006 | 73 | |
| 20 | 2003 | 22 |
About F. Boray Tek
F. Boray Tek is a scholar working on Structural Biology, Computer Vision and Pattern Recognition, Media Technology, Biophysics and Developmental Biology, having authored 30 papers that have together received 513 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (7 papers), Image Processing Techniques and Applications (5 papers), Retinal Imaging and Analysis (4 papers), Natural Language Processing Techniques (3 papers), Speech and Audio Processing (2 papers), Machine Learning in Healthcare (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Media Technology (160 citations), Biophysics (98 citations), Developmental Biology (22 citations) and Artificial Intelligence (119 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, Shawn Mikula, Thorben Kroeger, Fred A. Hamprecht, Gareth Beddoe, Flavio Cannavò, Xiaoyun Yang and G. Nunnari. Their work appears in journals such as IEEE Access, Ecological Informatics, Electronics Letters, Journal of Pathology Informatics and Computer Vision and Image Understanding.
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.