Evren Asma
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- Medical Imaging Techniques and Applications 64
- Advanced MRI Techniques and Applications 28
- Radiomics and Machine Learning in Medical Imaging 25
- Radiation top 2%
- Radiation Detection and Scintillator Technologies 15
- Advanced Radiotherapy Techniques 9
- Biomedical Engineering top 10%
- Advanced X-ray and CT Imaging 22
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- Medical Image Segmentation Techniques 4
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- Sparse and Compressive Sensing Techniques 3
- Co-authors
- Richard M. LeahyJinyi QiRavindra M. ManjeshwarThomas E. NicholsSangtae AhnKris ThielemansSteven G. RossTiantian Li
- Journals
- Physics in Medicine and Biology (9 papers)IEEE Transactions on Medical Imaging (5 papers)Medical Physics (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Evren Asma
59 papers receiving 868 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 840
- Radiation 264
- Biomedical Engineering 367
- Computer Vision and Pattern Recognition 79
- Health Informatics 4
Countries citing papers authored by Evren Asma
This map shows the geographic impact of Evren Asma'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 Evren Asma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evren Asma more than expected).
Fields of papers citing papers by Evren Asma
This network shows the impact of papers produced by Evren Asma. 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 Evren Asma. The network helps show where Evren Asma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evren Asma, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 36 | |
| 5 | 2017 | 7 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 96 | |
| 8 | 2015 | 15 | |
| 9 | 2013 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2012 | 37 | |
| 12 | 2011 | 3 | |
| 13 | 2011 | 4 | |
| 14 | 2007 | 36 | |
| 15 | 2005 | 12 | |
| 16 | 2005 | 7 | |
| 17 | 2004 | 34 | |
| 18 | 2002 | 24 | |
| 19 | 2002 | 57 | |
| 20 | 2002 | 140 |
About Evren Asma
Evren Asma is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 64 papers that have together received 897 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (64 papers), Advanced MRI Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced X-ray and CT Imaging (22 papers), Radiation Detection and Scintillator Technologies (15 papers), Advanced Radiotherapy Techniques (9 papers), Medical Image Segmentation Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (840 citations), Radiation (264 citations), Biomedical Engineering (367 citations), Computer Vision and Pattern Recognition (79 citations) and Health Informatics (4 citations). Evren Asma has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Richard M. Leahy, Jinyi Qi, Ravindra M. Manjeshwar, Thomas E. Nichols, Sangtae Ahn, Kris Thielemans, Steven G. Ross, Tiantian Li, Sangeetha Somayajula and Jun Miao. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Medical Physics, EJNMMI Physics and IEEE Transactions on Nuclear 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.