Serkan Çimen
Impact in
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- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 5
- Cardiac Imaging and Diagnostics 4
- Advanced MRI Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Medical Image Segmentation Techniques 5
- Co-authors
- Alejandro F. Frangi (8 shared papers)Ali Gooya (5 shared papers)Michael Graß (1 shared paper)Zeike A. Taylor (3 shared papers)Nishant Ravikumar (3 shared papers)Arso M. Vukićević (1 shared paper)Gordana Jovičić (1 shared paper)Nenad Filipović (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)European Journal of Radiology (1 paper)Applied Sciences (1 paper)Scientific Reports (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Serkan Çimen
11 papers receiving 236 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 137
- Health Informatics 8
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 71
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Serkan Çimen
This map shows the geographic impact of Serkan Çimen'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 Serkan Çimen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serkan Çimen more than expected).
Fields of papers citing papers by Serkan Çimen
This network shows the impact of papers produced by Serkan Çimen. 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 Serkan Çimen. The network helps show where Serkan Çimen may publish in the future.
Co-authors
The 25 scholars most cited alongside Serkan Çimen, 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 | 2016 | 91 | |
| 2 | 2020 | 54 | |
| 3 | 2018 | 34 | |
| 4 | 2017 | 32 | |
| 5 | 2016 | 8 | |
| 6 | 2016 | 6 | |
| 7 | 2014 | 3 | |
| 8 | 2017 | 3 | |
| 9 | Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions | 2018 | 3 |
| 10 | 2016 | 2 | |
| 11 | 2022 | 1 |
About Serkan Çimen
Serkan Çimen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 237 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (4 papers), Cardiac Imaging and Diagnostics (4 papers), Advanced MRI Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Morphological variations and asymmetry (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (137 citations), Health Informatics (8 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (71 citations) and Computer Graphics and Computer-Aided Design (10 citations). Serkan Çimen has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Alejandro F. Frangi, Ali Gooya, Michael Graß, Zeike A. Taylor, Nishant Ravikumar, Arso M. Vukićević, Gordana Jovičić, Nenad Filipović, Nikola Jagić and Pooyan Sahbaee. Their work appears in journals such as Medical Image Analysis, European Journal of Radiology, Applied Sciences, Scientific Reports and Lecture notes in computer science.
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.