Hakan Cebeci
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 3
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- Intracranial Aneurysms: Treatment and Complications 3
- Co-authors
- Mustafa Koplay (20 shared papers)Bahattin Hakyemez (4 shared papers)Hasan Kocaelı (3 shared papers)Mehmet Sedat Durmaz (12 shared papers)Ahmet Bekâr (1 shared paper)Esin Öztürk-Işık (1 shared paper)Ömür Aydın (1 shared paper)Hasan Erdoğan (3 shared papers)
- Journals
- The Spine Journal (3 papers)European Journal of Radiology (2 papers)American Journal of Neuroradiology (1 paper)Journal of Vascular and Interventional Radiology (1 paper)Journal of Orthopaedic Surgery and Research (1 paper)
- Partner nations
- TürkiyeUnited StatesQatar
In The Last Decade
Hakan Cebeci
51 papers receiving 343 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 13
- Radiology, Nuclear Medicine and Imaging 101
- Neurology 41
- Genetics 24
- Pathology and Forensic Medicine 31
Countries citing papers authored by Hakan Cebeci
This map shows the geographic impact of Hakan Cebeci'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 Hakan Cebeci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakan Cebeci more than expected).
Fields of papers citing papers by Hakan Cebeci
This network shows the impact of papers produced by Hakan Cebeci. 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 Hakan Cebeci. The network helps show where Hakan Cebeci may publish in the future.
Co-authors
The 25 scholars most cited alongside Hakan Cebeci, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2014 | 25 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 21 | |
| 5 | 2022 | 17 | |
| 6 | 2014 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2018 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 5 |
About Hakan Cebeci
Hakan Cebeci is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Surgery, Internal Medicine and Genetics, having authored 59 papers that have together received 348 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Glioma Diagnosis and Treatment (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (101 citations), Neurology (41 citations), Genetics (24 citations) and Pathology and Forensic Medicine (31 citations). Hakan Cebeci has collaborated with scholars based in Türkiye, United States and Qatar. Frequent co-authors include Mustafa Koplay, Bahattin Hakyemez, Hasan Kocaelı, Mehmet Sedat Durmaz, Ahmet Bekâr, Esin Öztürk-Işık, Ömür Aydın, Hasan Erdoğan, Mehmet Gençtürk and Ramazan Büyükkaya. Their work appears in journals such as The Spine Journal, European Journal of Radiology, American Journal of Neuroradiology, Journal of Vascular and Interventional Radiology and Journal of Orthopaedic Surgery and Research.
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.