Rutwik Shah

481 total citations
19 papers, 286 citations indexed

About

Rutwik Shah is a scholar working on Biomedical Engineering, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rutwik Shah has authored 19 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Surgery and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rutwik Shah's work include Advanced X-ray and CT Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Rutwik Shah is often cited by papers focused on Advanced X-ray and CT Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Rutwik Shah collaborates with scholars based in United States, Australia and Canada. Rutwik Shah's co-authors include Valentina Pedoia, Sharmila Majumdar, Nikan K. Namiri, Bruno A. A. Nunes, Thomas M. Link, Matthew D. Bucknor, Francesco Calivá, Felix Liu, Peng Cao and Jinhee Lee and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and American Journal of Roentgenology.

In The Last Decade

Rutwik Shah

15 papers receiving 282 citations

Peers

Rutwik Shah

SURGE

RHEUM

RNMI

OSM

Dongjun Choi South Korea

Magdalena Posadzy Poland

Florian Hinterwimmer Germany

Aleš Neubert Australia

Rongguo Zhang China

Maria Chiara Fiorentino Italy

Evangelia E. Vassalou Greece

Amir Jamaludin United Kingdom

Kaifeng Gan China

Gloria Casaroli Italy

Dongjun Choi South Korea

Rutwik Shah

109 ×0.9

SURGE

30 ×0.3

RHEUM

50 ×0.5

78 ×0.9

RNMI

23 ×0.5

OSM

Citations per year, relative to Rutwik Shah Rutwik Shah (= 1×) peers Dongjun Choi

Countries citing papers authored by Rutwik Shah

Since Specialization

Citations

This map shows the geographic impact of Rutwik Shah'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 Rutwik Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rutwik Shah more than expected).

Fields of papers citing papers by Rutwik Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rutwik Shah. 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 Rutwik Shah. The network helps show where Rutwik Shah may publish in the future.

Co-authorship network of co-authors of Rutwik Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Rutwik Shah. A scholar is included among the top collaborators of Rutwik Shah 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 Rutwik Shah. Rutwik Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Singer, Jonathan P., Daniel R. Calabrese, Steven R. Hays, et al.. (2024). Multicenter Assessment of the Bronchiolar Brushing Molecular Inflammation Score, AIS2, to Identify Incipient CLAD and Mortality Risk. The Journal of Heart and Lung Transplantation. 43(4). S64–S64.

Shah, Rutwik, Bruno A. A. Nunes, Rina Patel, et al.. (2022). Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. Journal of Digital Imaging. 36(2). 401–413.

Kolaitis, Nicholas A., Daniel R. Calabrese, Jeffrey A. Golden, et al.. (2022). Immunosuppression-Induced Pulmonary Alveolar Proteinosis Following Bilateral Lung Transplantation. The Journal of Heart and Lung Transplantation. 41(4). S298–S298.

Nunes, Bruno A. A., Nikan K. Namiri, Rutwik Shah, et al.. (2021). Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies. Radiology Artificial Intelligence. 3(3). e200165–e200165. 79 indexed citations

Namiri, Nikan K., Jinhee Lee, Bruno A. A. Nunes, et al.. (2021). Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis. Scientific Reports. 11(1). 10915–10915. 25 indexed citations

Calivá, Francesco, et al.. (2021). Adversarial Robust Training of Deep Learning MRI Reconstruction Models. 1(MIDL 2020). 1–32. 5 indexed citations

Shah, Rutwik, et al.. (2021). Institution‐wide shape analysis of 3D spinal curvature and global alignment parameters. Journal of Orthopaedic Research®. 40(8). 1896–1908. 3 indexed citations

Calivá, Francesco, Felix Liu, Jinhee Lee, et al.. (2020). Learning osteoarthritis imaging biomarkers from bone surface spherical encoding. Magnetic Resonance in Medicine. 84(4). 2190–2203. 43 indexed citations

Calivá, Francesco, Andrew P. Leynes, Rutwik Shah, et al.. (2020). Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. 94–110. 6 indexed citations

10.

Namiri, Nikan K., Bruno A. A. Nunes, Rutwik Shah, et al.. (2020). Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI. Radiology Artificial Intelligence. 2(4). e190207–e190207. 49 indexed citations

11.

Calivá, Francesco, et al.. (2020). Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. 121–135. 11 indexed citations

12.

Ozhinsky, Eugene, Rutwik Shah, Kay M. Crossley, et al.. (2020). Computer‐Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI. Journal of Magnetic Resonance Imaging. 52(4). 1163–1172. 19 indexed citations

13.

Shah, Rutwik, et al.. (2020). Hand Gesture Control Car. 8(5). 3 indexed citations

14.

Calivá, Francesco, et al.. (2020). Adversarial Robust Training of Deep Learning MRI Reconstruction Models. arXiv (Cornell University). 1. 1–32. 1 indexed citations

15.

Ozhinsky, Eugene, et al.. (2019). Detecting hip osteoarthritic degenerative changes in MRI using deep learning. Osteoarthritis and Cartilage. 27. S387–S388. 3 indexed citations

16.

Nunes, Bruno A. A., Rutwik Shah, Matthew D. Bucknor, et al.. (2019). MRI-based multi-task deep learning for cartilage lesion severity staging in knee osteoarthritis. Osteoarthritis and Cartilage. 27. S398–S399. 4 indexed citations

17.

Shah, Rutwik, et al.. (2019). Factors Predicting Positive Culture in CT-Guided Bone Biopsy Performed for Suspected Osteomyelitis. American Journal of Roentgenology. 212(3). 620–624. 16 indexed citations

18.

Shah, Rutwik, Jack W. Lambert, Yuxin Sun, et al.. (2018). Effect of gantry rotation speed and scan mode on peristalsis motion artifact frequency and severity at abdominal CT. Abdominal Radiology. 43(9). 2239–2245. 10 indexed citations

19.

Bucknor, Matthew D., Eugene Ozhinsky, Rutwik Shah, Roland Krug, & Viola Rieke. (2017). Effect of Sonication Duration and Power on Ablation Depth During MR‐Guided Focused Ultrasound of Bone. Journal of Magnetic Resonance Imaging. 46(5). 1418–1422. 9 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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