Umut Özkaya
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 5%
- Co-authors
- Şaban ÖztürkLevent SeyfiMücahid BarstuğanFarid MelganiEnes Yi̇ği̇tMassimo DonelliMesay Belete BejigaDilbag Singh
- Topics
- AI in cancer detection (6 papers)Geophysical Methods and Applications (5 papers)Microwave Imaging and Scattering Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAutomation in ConstructionIEEE Transactions on Instrumentation and Measurement
In The Last Decade
Umut Özkaya
24 papers receiving 587 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 209
- Radiology, Nuclear Medicine and Imaging 156
- Oncology 122
- Computer Vision and Pattern Recognition 105
- Ocean Engineering 98
Countries citing papers authored by Umut Özkaya
This map shows the geographic impact of Umut Özkaya'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 Umut Özkaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umut Özkaya more than expected).
Fields of papers citing papers by Umut Özkaya
This network shows the impact of papers produced by Umut Özkaya. 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 Umut Özkaya. The network helps show where Umut Özkaya may publish in the future.
Co-authorship network of co-authors of Umut Özkaya
This figure shows the co-authorship network connecting the top 25 collaborators of Umut Özkaya. A scholar is included among the top collaborators of Umut Özkaya 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 Umut Özkaya. Umut Özkaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | Coronavirus (Covid-19) classification using CT images by machine learning methods | 1 |
| 5 | 33 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 76 | |
| 10 | 1 | |
| 11 | 107 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 20 | |
| 20 | 2 |
About Umut Özkaya
Umut Özkaya is a scholar working on Analytical Chemistry, Neurology and Ocean Engineering, having authored 28 papers that have together received 613 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Geophysical Methods and Applications (5 papers) and Microwave Imaging and Scattering Analysis (5 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Artificial Intelligence (209 citations). Umut Özkaya has collaborated with scholars based in Türkiye, Algeria and India. Frequent co-authors include Şaban Öztürk, Levent Seyfi, Mücahid Barstuğan, Farid Melgani, Enes Yi̇ği̇t, Massimo Donelli, Mesay Belete Bejiga, Dilbag Singh, Hassène Gritli and Bayram Akdemïr. Their work appears in journals such as SHILAP Revista de lepidopterología, Automation in Construction and IEEE Transactions on Instrumentation and Measurement.
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.