Olya Grove
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 1
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- Advanced Numerical Analysis Techniques 3
- 3D Shape Modeling and Analysis 2
- Co-authors
- Robert J. Gillies (5 shared papers)Robert A. Gatenby (3 shared papers)Yuhua Gu (2 shared papers)Yoganand Balagurunathan (2 shared papers)Hua Wang (1 shared paper)Dmitry B. Goldgof (1 shared paper)Lawrence Hall (1 shared paper)Jongphil Kim (1 shared paper)
- Journals
- PLoS ONE (2 papers)Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (1 paper)Radiology (1 paper)Translational Oncology (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Olya Grove
8 papers receiving 955 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 615
- Health Informatics 17
- Pulmonary and Respiratory Medicine 206
- Genetics 68
- Modeling and Simulation 27
Countries citing papers authored by Olya Grove
This map shows the geographic impact of Olya Grove'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 Olya Grove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olya Grove more than expected).
Fields of papers citing papers by Olya Grove
This network shows the impact of papers produced by Olya Grove. 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 Olya Grove. The network helps show where Olya Grove may publish in the future.
Co-authors
The 25 scholars most cited alongside Olya Grove, 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 | 2013 | 419 | |
| 2 | 2014 | 252 | |
| 3 | 2015 | 213 | |
| 4 | 2013 | 44 | |
| 5 | 2010 | 29 | |
| 6 | 2015 | 4 | |
| 7 | 2010 | 4 | |
| 8 | 2012 | 4 |
About Olya Grove
Olya Grove is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Cancer Research, Pulmonary and Respiratory Medicine and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 969 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Numerical Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), 3D Shape Modeling and Analysis (2 papers), Medical Image Segmentation Techniques (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (615 citations), Health Informatics (17 citations), Pulmonary and Respiratory Medicine (206 citations), Genetics (68 citations) and Modeling and Simulation (27 citations). Olya Grove has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Robert J. Gillies, Robert A. Gatenby, Yuhua Gu, Yoganand Balagurunathan, Hua Wang, Dmitry B. Goldgof, Lawrence Hall, Jongphil Kim, Virendra Kumar and Philippe Lambin. Their work appears in journals such as PLoS ONE, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, Radiology, Translational Oncology and Medical 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.