Ural Koç
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- COVID-19 diagnosis using AI
Papers in
- Surgery 8
- Pancreatitis Pathology and Treatment 2
-
- Vascular Procedures and Complications 3
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Dominik Fleischmann (2 shared papers)Erik Ranschaert (2 shared papers)Domenico Mastrodicasa (2 shared papers)Tim Leiner (2 shared papers)Merel Huisman (2 shared papers)Martin J. Willemink (2 shared papers)Cedric Bohyn (2 shared papers)Sergey Morozov (2 shared papers)
- Journals
- European Radiology (2 papers)Child s Nervous System (1 paper)Academic Radiology (1 paper)Turkish Journal of Emergency Medicine (1 paper)Clinical Neurology and Neurosurgery (1 paper)
- Partner nations
- TürkiyeUnited StatesBelgium
In The Last Decade
Ural Koç
26 papers receiving 363 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 184
- Radiology, Nuclear Medicine and Imaging 90
- Family Practice 4
- Neurology 11
- General Dentistry 2
Countries citing papers authored by Ural Koç
This map shows the geographic impact of Ural Koç'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 Ural Koç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ural Koç more than expected).
Fields of papers citing papers by Ural Koç
This network shows the impact of papers produced by Ural Koç. 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 Ural Koç. The network helps show where Ural Koç may publish in the future.
Co-authors
The 25 scholars most cited alongside Ural Koç, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 151 | |
| 2 | 2021 | 98 | |
| 3 | 2020 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2017 | 14 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 1 |
About Ural Koç
Ural Koç is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Health Informatics, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 369 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Vascular Procedures and Complications (3 papers), Machine Learning in Healthcare (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Pancreatitis Pathology and Treatment (2 papers), Topic Modeling (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (184 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Family Practice (4 citations), Neurology (11 citations) and General Dentistry (2 citations). Ural Koç has collaborated with scholars based in Türkiye, United States and Belgium. Frequent co-authors include Dominik Fleischmann, Erik Ranschaert, Domenico Mastrodicasa, Tim Leiner, Merel Huisman, Martin J. Willemink, Cedric Bohyn, Sergey Morozov, Marc Zins and Jie Wu. Their work appears in journals such as European Radiology, Child s Nervous System, Academic Radiology, Turkish Journal of Emergency Medicine and Clinical Neurology and Neurosurgery.
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.