V Clark
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Effects of Radiation Exposure
Papers in
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- Advanced Radiotherapy Techniques 4
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- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Joseph O. Deasy (5 shared papers)Angel I. Blanco (1 shared paper)Yun Zhou (2 shared papers)Luigi Ferrucci (2 shared papers)Dean F. Wong (2 shared papers)Susan M. Resnick (2 shared papers)J Alaly (1 shared paper)Jimit Doshi (2 shared papers)
- Journals
- Medical Physics (3 papers)Neurobiology of Aging (2 papers)Linear Algebra and its Applications (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
V Clark
7 papers receiving 729 citations
V Clark's Hit Papers
Peers
Comparison fields: 5 of 72
- Radiation 407
- Radiology, Nuclear Medicine and Imaging 278
- Pulmonary and Respiratory Medicine 215
- Otorhinolaryngology 14
- Psychiatry and Mental health 26
Countries citing papers authored by V Clark
This map shows the geographic impact of V Clark'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 V Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V Clark more than expected).
Fields of papers citing papers by V Clark
This network shows the impact of papers produced by V Clark. 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 V Clark. The network helps show where V Clark may publish in the future.
Co-authors
The 20 scholars most cited alongside V Clark, 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 | CERR: A computational environment for radiotherapy research Hit paper breakdown → | 2003 | 670 |
| 2 | 2012 | 30 | |
| 3 | 2007 | 28 | |
| 4 | 2013 | 19 | |
| 5 | 2005 | 1 | |
| 6 | 2006 | 1 | |
| 7 | 2006 | 1 |
About V Clark
V Clark is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Psychiatry and Mental health, having authored 7 papers that have together received 750 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Dementia and Cognitive Impairment Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Functional Brain Connectivity Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Prostate Cancer Treatment and Research (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Radiation (407 citations), Radiology, Nuclear Medicine and Imaging (278 citations), Pulmonary and Respiratory Medicine (215 citations), Otorhinolaryngology (14 citations) and Psychiatry and Mental health (26 citations). V Clark has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Joseph O. Deasy, Angel I. Blanco, Yun Zhou, Luigi Ferrucci, Dean F. Wong, Susan M. Resnick, J Alaly, Jimit Doshi, Christos Davatzikos and Jan J. Wilkens. Their work appears in journals such as Medical Physics, Neurobiology of Aging, Linear Algebra and its Applications and International Journal of Radiation Oncology*Biology*Physics.
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.