Olya Grove

1.2k total citations
9 papers, 896 citations indexed

About

Olya Grove is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computational Mechanics. According to data from OpenAlex, Olya Grove has authored 9 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Computational Mechanics. Recurrent topics in Olya Grove's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Numerical Analysis Techniques (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Olya Grove is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Numerical Analysis Techniques (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Olya Grove collaborates with scholars based in United States, China and Netherlands. Olya Grove's co-authors include Robert J. Gillies, Robert A. Gatenby, Yoganand Balagurunathan, Yuhua Gu, Lawrence Hall, Hua Wang, Virendra Kumar, Dmitry B. Goldgof, Jongphil Kim and Emmanuel Rios Velazquez and has published in prestigious journals such as PLoS ONE, Radiology and Medical Physics.

In The Last Decade

Olya Grove

9 papers receiving 883 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olya Grove United States 6 757 320 197 162 142 9 896
Cristiana Fanciullo Italy 6 726 1.0× 251 0.8× 244 1.2× 140 0.9× 131 0.9× 10 867
Shufang Pei China 12 833 1.1× 212 0.7× 137 0.7× 229 1.4× 134 0.9× 23 1.0k
Mariyah Selmi United Kingdom 3 719 0.9× 202 0.6× 132 0.7× 101 0.6× 181 1.3× 4 834
Qiuchang Sun China 11 649 0.9× 198 0.6× 115 0.6× 177 1.1× 93 0.7× 15 755
François Lucia France 18 962 1.3× 478 1.5× 250 1.3× 132 0.8× 211 1.5× 75 1.2k
Qihua Li China 6 678 0.9× 169 0.5× 150 0.8× 166 1.0× 138 1.0× 12 812
Eric A. Cohen United States 15 453 0.6× 177 0.6× 100 0.5× 181 1.1× 84 0.6× 44 621
Vishwa S. Parekh United States 14 722 1.0× 154 0.5× 213 1.1× 252 1.6× 128 0.9× 39 942

Countries citing papers authored by Olya Grove

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Olya Grove

This figure shows the co-authorship network connecting the top 25 collaborators of Olya Grove. A scholar is included among the top collaborators of Olya Grove based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olya Grove. Olya Grove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Grove, Olya, Anders Berglund, Matthew B. Schabath, et al.. (2021). Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. PLoS ONE. 16(3). e0248541–e0248541. 8 indexed citations
2.
Großmann, Patrick, Olya Grove, Nehmé El-Hachem, et al.. (2015). TU‐CD‐BRB‐02: BEST IN PHYSICS (JOINT IMAGING‐THERAPY): Identification of Molecular Phenotypes by Integrating Radiomics and Genomics. Medical Physics. 42(6Part32). 3602–3602. 2 indexed citations
3.
Grove, Olya, Anders Berglund, Matthew B. Schabath, et al.. (2015). Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. PLoS ONE. 10(3). e0118261–e0118261. 199 indexed citations
4.
Balagurunathan, Yoganand, Yuhua Gu, Hua Wang, et al.. (2014). Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Translational Oncology. 7(1). 72–87. 240 indexed citations
5.
Foroutan, Parastou, Jenny Kreahling, David L. Morse, et al.. (2013). Diffusion MRI and Novel Texture Analysis in Osteosarcoma Xenotransplants Predicts Response to Anti-Checkpoint Therapy. PLoS ONE. 8(12). e82875–e82875. 41 indexed citations
6.
Gatenby, Robert A., Olya Grove, & Robert J. Gillies. (2013). Quantitative Imaging in Cancer Evolution and Ecology. Radiology. 269(1). 8–14. 369 indexed citations
7.
Grove, Olya, Khairan Rajab, & Les A. Piegl. (2012). Heterogeneous modeling of medical image data using B-spline functions. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 226(10). 737–751. 4 indexed citations
8.
Grove, Olya, Khairan Rajab, Les A. Piegl, & Susana K. Lai-Yuen. (2010). From CT to NURBS: Contour Fitting with B-spline Curves. Computer-Aided Design and Applications. 8(1). 3–21. 29 indexed citations
9.
Grove, Olya, Khairan Rajab, & Les A. Piegl. (2010). From CT to NURBS: Contour Fitting with B-spline Curves. Computer-Aided Design and Applications. 7(sup1). 1–19. 4 indexed citations

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.

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