Mahmut Karakaya
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Signal Processing top 5%
- Information Systems top 5%
- Ophthalmology top 5%
- Co-authors
- Hairong QiAhmed B. SallamHector Santos-VillalobosSeyedamin PouriyehAndreas UhlReza M. PariziEdward ChaumDavid J. Solecki
- Topics
- Biometric Identification and Security (27 papers)Face recognition and analysis (11 papers)Retinal Imaging and Analysis (10 papers)
- Journals
- Proceedings of the National Academy of SciencesBMC BioinformaticsPattern Recognition Letters
- Partner nations
- United StatesTürkiyeAustria
In The Last Decade
Mahmut Karakaya
50 papers receiving 462 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 177
- Radiology, Nuclear Medicine and Imaging 150
- Signal Processing 142
- Information Systems 127
- Ophthalmology 107
Countries citing papers authored by Mahmut Karakaya
This map shows the geographic impact of Mahmut Karakaya'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 Mahmut Karakaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmut Karakaya more than expected).
Fields of papers citing papers by Mahmut Karakaya
This network shows the impact of papers produced by Mahmut Karakaya. 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 Mahmut Karakaya. The network helps show where Mahmut Karakaya may publish in the future.
Co-authorship network of co-authors of Mahmut Karakaya
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmut Karakaya. A scholar is included among the top collaborators of Mahmut Karakaya 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 Mahmut Karakaya. Mahmut Karakaya 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 | 1 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | End-to-end Off-angle Iris Recognition Using CNN Based Iris Segmentation | 4 |
| 8 | 48 | |
| 9 | 88 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 50 | |
| 15 | 16 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 16 |
About Mahmut Karakaya
Mahmut Karakaya is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Ophthalmology, having authored 54 papers that have together received 485 indexed citations. Recurring topics across this work include Biometric Identification and Security (27 papers), Face recognition and analysis (11 papers) and Retinal Imaging and Analysis (10 papers). The work is most often cited by research in Signal Processing (142 citations), Ophthalmology (107 citations) and Health Information Management (49 citations). Mahmut Karakaya has collaborated with scholars based in United States, Türkiye and Austria. Frequent co-authors include Hairong Qi, Ahmed B. Sallam, Hector Santos-Villalobos, Seyedamin Pouriyeh, Andreas Uhl, Reza M. Parizi, Edward Chaum, David J. Solecki, Joseph S. Ramahi and Niraj Trivedi. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Bioinformatics and Pattern Recognition 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.