A. Pevsner
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
-
- Advanced Radiotherapy Techniques 6
-
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- Advanced MRI Techniques and Applications 1
- Co-authors
- Steven M. Larson (5 shared papers)Yusuf E. Erdi (5 shared papers)G Mageras (5 shared papers)Ellen Yorke (4 shared papers)John L. Humm (4 shared papers)Heiko Schöder (3 shared papers)Olivia Squire (3 shared papers)K. Rosenzweig (4 shared papers)
- Journals
- Medical Physics (3 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
A. Pevsner
6 papers receiving 772 citations
Peers
Comparison fields: 5 of 30
- Radiation 495
- Radiology, Nuclear Medicine and Imaging 738
- Pulmonary and Respiratory Medicine 321
- Biomedical Engineering 182
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by A. Pevsner
This map shows the geographic impact of A. Pevsner'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 A. Pevsner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pevsner more than expected).
Fields of papers citing papers by A. Pevsner
This network shows the impact of papers produced by A. Pevsner. 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 A. Pevsner. The network helps show where A. Pevsner may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Pevsner, 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 | 2004 | 277 | |
| 2 | The CT motion quantitation of lung lesions and its impact on PET-measured SUVs. | 2004 | 231 |
| 3 | 2004 | 187 | |
| 4 | 2006 | 53 | |
| 5 | 2004 | 26 | |
| 6 | 2011 | 18 |
About A. Pevsner
A. Pevsner is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 792 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Prostate Cancer Diagnosis and Treatment (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Radiation (495 citations), Radiology, Nuclear Medicine and Imaging (738 citations), Pulmonary and Respiratory Medicine (321 citations), Biomedical Engineering (182 citations) and Computer Vision and Pattern Recognition (28 citations). A. Pevsner has collaborated with scholars based in United States. Frequent co-authors include Steven M. Larson, Yusuf E. Erdi, G Mageras, Ellen Yorke, John L. Humm, Heiko Schöder, Olivia Squire, K. Rosenzweig, Sadek A. Nehmeh and Phil Vernon. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics and PubMed.
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.