Olya Grove
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
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- Lung Cancer Diagnosis and Treatment 2
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Robert J. Gillies (6 shared papers)Robert A. Gatenby (4 shared papers)Yoganand Balagurunathan (3 shared papers)Yuhua Gu (3 shared papers)Hua Wang (2 shared papers)Jongphil Kim (1 shared paper)Dmitry B. Goldgof (1 shared paper)Virendra Kumar (1 shared paper)
- Journals
- PLoS ONE (3 papers)Translational Oncology (1 paper)Radiology (1 paper)Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Olya Grove
9 papers receiving 950 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 620
- Health Informatics 17
- Pulmonary and Respiratory Medicine 216
- Genetics 64
- Modeling and Simulation 25
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 | 404 | |
| 2 | 2014 | 253 | |
| 3 | 2015 | 212 | |
| 4 | 2013 | 44 | |
| 5 | 2010 | 29 | |
| 6 | 2021 | 9 | |
| 7 | 2012 | 4 | |
| 8 | 2015 | 4 | |
| 9 | 2010 | 4 |
About Olya Grove
Olya Grove is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 9 papers that have together received 963 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Numerical Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Medical Image Segmentation Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), AI in cancer detection (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (620 citations), Health Informatics (17 citations), Pulmonary and Respiratory Medicine (216 citations), Genetics (64 citations) and Modeling and Simulation (25 citations). Olya Grove has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Robert J. Gillies, Robert A. Gatenby, Yoganand Balagurunathan, Yuhua Gu, Hua Wang, Jongphil Kim, Dmitry B. Goldgof, Virendra Kumar, Lawrence Hall and Philippe Lambin. Their work appears in journals such as PLoS ONE, Translational Oncology, Radiology, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine 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.