Selen Bozkurt
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 8
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 11
- Topic Modeling 9
- Natural Language Processing Techniques 5
- Urology top 10%
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- Radiomics and Machine Learning in Medical Imaging 8
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- Biomedical Text Mining and Ontologies 11
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- Obstructive Sleep Apnea Research 7
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- Neuroscience of respiration and sleep 6
- Co-authors
- Tina Hernandez‐BoussardJohn P. A. IoannidisNigam H. ShahDaniel L. RubinMurat TurhanImon BanerjeeOnur TelliJames D. Brooks
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Selen Bozkurt
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Health Informatics 228
- Health Information Management 87
- Artificial Intelligence 312
- Urology 62
- Radiology, Nuclear Medicine and Imaging 214
Countries citing papers authored by Selen Bozkurt
This map shows the geographic impact of Selen Bozkurt'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 Selen Bozkurt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selen Bozkurt more than expected).
Fields of papers citing papers by Selen Bozkurt
This network shows the impact of papers produced by Selen Bozkurt. 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 Selen Bozkurt. The network helps show where Selen Bozkurt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Selen Bozkurt, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 17 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 40 | |
| 13 | 2018 | 3 | |
| 14 | Evaluation of Ear, Nose, and Throat Involvement in Pemphigus Vulgaris in Comparison with Pemphigus Severity Scoring Systems: A Cross-sectional Study. | 2018 | 0 |
| 15 | 2017 | 6 | |
| 16 | 2017 | 0 | |
| 17 | 2016 | 3 | |
| 18 | 2016 | 42 | |
| 19 | 2015 | 21 | |
| 20 | 2013 | 11 |
About Selen Bozkurt
Selen Bozkurt is a scholar working on Health Informatics, Health Information Management and Endocrine and Autonomic Systems, having authored 111 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Health Informatics (228 citations), Health Information Management (87 citations) and Artificial Intelligence (312 citations). Selen Bozkurt has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Tina Hernandez‐Boussard, John P. A. Ioannidis, Nigam H. Shah, Daniel L. Rubin, Murat Turhan, Imon Banerjee, Onur Telli, James D. Brooks, Ömer Gökhan Doluoğlu and Erkan Alpsoy. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.