Vijay Shah

3.5k total citations · 2 hit papers
45 papers, 2.7k citations indexed

About

Vijay Shah is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vijay Shah has authored 45 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vijay Shah's work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Remote-Sensing Image Classification (9 papers). Vijay Shah is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Remote-Sensing Image Classification (9 papers). Vijay Shah collaborates with scholars based in United States, Germany and United Kingdom. Vijay Shah's co-authors include Roger L. King, Nicolas H. Younan, Peter L. Choyke, Barış Türkbey, Marcelino Bernardo, Peter A. Pinto, Maria J. Merino, Ardeshir R. Rastinehad, Haresh Mani and Yuxi Pang and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and Radiology.

In The Last Decade

Vijay Shah

43 papers receiving 2.7k citations

Hit Papers

An Efficient Pan-Sharpening Method via a Combined Adaptiv... 2008 2026 2014 2020 2008 2011 100 200 300 400 500

Peers

Vijay Shah
Anthony Sisk United States
Andrew D. A. Maidment United States
Matthew Orton United Kingdom
Bruce A. Vendt United States
Catherine W. Piccoli United States
Anthony Sisk United States
Vijay Shah
Citations per year, relative to Vijay Shah Vijay Shah (= 1×) peers Anthony Sisk

Countries citing papers authored by Vijay Shah

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Shah

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

All Works

20 of 20 papers shown
1.
Patel, Shivani A., et al.. (2025). AI-powered transformation of pharmaceutical 3D printing: enhancing precision, efficiency, and personalization. Bioprinting. 50. e00437–e00437. 1 indexed citations
2.
Schaefferkoetter, Joshua, et al.. (2023). Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data. European Journal of Nuclear Medicine and Molecular Imaging. 50(8). 2292–2304. 15 indexed citations
3.
Dias, André H., et al.. (2022). Clinical validation of a population-based input function for 20-min dynamic whole-body 18F-FDG multiparametric PET imaging. EJNMMI Physics. 9(1). 60–60. 19 indexed citations
4.
Sari, Hasan, Clemens Mingels, Ian Alberts, et al.. (2022). First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients. European Journal of Nuclear Medicine and Molecular Imaging. 49(6). 1997–2009. 68 indexed citations
5.
Sibille, Ludovic, Maythinee Chantadisai, Andrei Gafita, et al.. (2021). Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 517–526. 31 indexed citations
6.
Becker, Stéphanie, Vijay Shah, Ludovic Sibille, et al.. (2021). Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography. Frontiers in Medicine. 8. 628179–628179. 23 indexed citations
7.
Hu, Jicun, Vladimir Panin, Anne M. Smith, et al.. (2020). Design and Implementation of Automated Clinical Whole Body Parametric PET With Continuous Bed Motion. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(6). 696–707. 26 indexed citations
8.
Naganawa, Mika, Jean‐Dominique Gallezot, Vijay Shah, et al.. (2020). Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET. EJNMMI Physics. 7(1). 67–67. 50 indexed citations
9.
Seifert, Robert, Ken Herrmann, Jens Kleesiek, et al.. (2020). Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer. Journal of Nuclear Medicine. 61(12). 1786–1792. 91 indexed citations
10.
Armstrong, Ian S., Vijay Shah, Sven Zuehlsdorff, et al.. (2018). Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework. IEEE Transactions on Medical Imaging. 38(5). 1216–1226. 4 indexed citations
11.
Türkbey, Barış, Haresh Mani, Ömer Aras, et al.. (2013). Prostate Cancer: Can Multiparametric MR Imaging Help Identify Patients Who Are Candidates for Active Surveillance?. Radiology. 268(1). 144–152. 177 indexed citations
12.
Mena, Esther, Barış Türkbey, Haresh Mani, et al.. (2012). 11C-Acetate PET/CT in Localized Prostate Cancer: A Study with MRI and Histopathologic Correlation. Journal of Nuclear Medicine. 53(4). 538–545. 88 indexed citations
13.
Shah, Vijay, Barış Türkbey, Haresh Mani, et al.. (2012). Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging. Medical Physics. 39(7Part1). 4093–4103. 62 indexed citations
14.
Ewald, Collin Y., et al.. (2012). Pan-Neuronal Expression of APL-1, an APP-Related Protein, Disrupts Olfactory, Gustatory, and Touch Plasticity inCaenorhabditis elegans. Journal of Neuroscience. 32(30). 10156–10169. 23 indexed citations
15.
Trivedi, Hari, Barış Türkbey, Ardeshir R. Rastinehad, et al.. (2011). Use of Patient-specific MRI-based Prostate Mold for Validation of Multiparametric MRI in Localization of Prostate Cancer. Urology. 79(1). 233–239. 52 indexed citations
16.
Türkbey, Barış, Sheng Xu, Jochen Kruecker, et al.. (2011). Documenting the location of systematic transrectal ultrasound-guided prostate biopsies: correlation with multi-parametric MRI. Cancer Imaging. 11(1). 31–36. 18 indexed citations
17.
Türkbey, Barış, Vijay Shah, Yuxi Pang, et al.. (2010). Is Apparent Diffusion Coefficient Associated with Clinical Risk Scores for Prostate Cancers that Are Visible on 3-T MR Images?. Radiology. 258(2). 488–495. 332 indexed citations
18.
Shah, Vijay, N.H. Younan, & Roger L. King. (2007). An adaptive PCA-based approach to pan-sharpening. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6748. 674802–674802. 7 indexed citations
19.
Shah, Vijay, L.M. Bruce, & Nicolas H. Younan. (2005). Applying modular classifiers to mammographic mass classification. PubMed. 3. 1585–1588. 3 indexed citations
20.
Ghanem, A. H., Yasuo Seta, W.I. Higuchi, et al.. (1992). Factors to Be Considered in the Evaluation of Bioavailability and Bioequivalence of Topical Formulations. Skin Pharmacology and Physiology. 5(3). 129–145. 19 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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