Evrim Türkbey
Impact in
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- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Advanced MRI Techniques and Applications
- Health Informatics top 2%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- COVID-19 diagnosis using AI 9
- Cardiac Imaging and Diagnostics 8
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- Renal cell carcinoma treatment 9
- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- David A. Bluemke (25 shared papers)João A.C. Lima (19 shared papers)Ronald M. Summers (22 shared papers)Le Lü (14 shared papers)Holger R. Roth (5 shared papers)John Eng (3 shared papers)Rob J. van der Geest (8 shared papers)Jens Vogel‐Claussen (2 shared papers)
- Journals
- Medical Physics (5 papers)Abdominal Radiology (5 papers)Academic Radiology (4 papers)Journal of Magnetic Resonance Imaging (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesNetherlandsBrazil
In The Last Decade
Evrim Türkbey
93 papers receiving 3.6k citations
Evrim Türkbey's Hit Papers
Peers
Comparison fields: 5 of 134
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Informatics 79
- Cardiology and Cardiovascular Medicine 1.2k
- Pulmonary and Respiratory Medicine 569
- Computer Vision and Pattern Recognition 300
Countries citing papers authored by Evrim Türkbey
This map shows the geographic impact of Evrim Türkbey'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 Evrim Türkbey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evrim Türkbey more than expected).
Fields of papers citing papers by Evrim Türkbey
This network shows the impact of papers produced by Evrim Türkbey. 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 Evrim Türkbey. The network helps show where Evrim Türkbey may publish in the future.
Co-authors
The 25 scholars most cited alongside Evrim Türkbey, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Normal values for cardiovascular magnetic resonance in adults and children Hit paper breakdown → | 2015 | 548 |
| 2 | A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations Hit paper breakdown → | 2014 | 287 |
| 3 | 2010 | 271 | |
| 4 | 2012 | 236 | |
| 5 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan Hit paper breakdown → | 2021 | 183 |
| 6 | 2016 | 136 | |
| 7 | 2015 | 128 | |
| 8 | 2015 | 107 | |
| 9 | 2010 | 104 | |
| 10 | 2012 | 103 | |
| 11 | 2011 | 98 | |
| 12 | 2011 | 96 | |
| 13 | 2013 | 92 | |
| 14 | 2022 | 76 | |
| 15 | 2011 | 74 | |
| 16 | 2013 | 74 | |
| 17 | 2020 | 63 | |
| 18 | 2009 | 59 | |
| 19 | 2020 | 57 | |
| 20 | 2020 | 49 |
About Evrim Türkbey
Evrim Türkbey is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 3.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Renal cell carcinoma treatment (9 papers), Medical Image Segmentation Techniques (9 papers), COVID-19 diagnosis using AI (9 papers), AI in cancer detection (8 papers), Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Function and Risk Factors (8 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (79 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Pulmonary and Respiratory Medicine (569 citations) and Computer Vision and Pattern Recognition (300 citations). Evrim Türkbey has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include David A. Bluemke, João A.C. Lima, Ronald M. Summers, Le Lü, Holger R. Roth, John Eng, Rob J. van der Geest, Jens Vogel‐Claussen, Michael Tee and Emanuela R. Valsangiacomo Buechel. Their work appears in journals such as Medical Physics, Abdominal Radiology, Academic Radiology, Journal of Magnetic Resonance Imaging and Journal of Clinical Oncology.
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.