Ranveer Vasdev

415 total citations
22 papers, 120 citations indexed

About

Ranveer Vasdev is a scholar working on Radiology, Nuclear Medicine and Imaging, Urology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ranveer Vasdev has authored 22 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Urology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ranveer Vasdev's work include Urinary Bladder and Prostate Research (5 papers), Pelvic floor disorders treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ranveer Vasdev is often cited by papers focused on Urinary Bladder and Prostate Research (5 papers), Pelvic floor disorders treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ranveer Vasdev collaborates with scholars based in United States and Australia. Ranveer Vasdev's co-authors include Christopher Weight, Paul Blake, Joel Rosenberg, Arveen Kalapara, Resha Tejpaul, Nicholas Heller, Subodh Regmi, Nikolaos Papanikolopoulos, Sean McSweeney and Hsin‐Hsiao Scott Wang and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and Urology.

In The Last Decade

Ranveer Vasdev

15 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranveer Vasdev United States 6 47 24 24 21 21 22 120
Nicholas Heller United States 6 41 0.9× 22 0.9× 36 1.5× 18 0.9× 36 1.7× 24 141
Swaminathan Ramasubramanian India 8 55 1.2× 23 1.0× 26 1.1× 36 1.7× 31 1.5× 59 262
Gary L. Legault United States 7 26 0.6× 42 1.8× 44 1.8× 25 1.2× 19 0.9× 27 172
Omid Halse United Kingdom 8 17 0.4× 40 1.7× 39 1.6× 8 0.4× 23 1.1× 18 243
Hael Abdulrazeq United States 7 77 1.6× 40 1.7× 26 1.1× 42 2.0× 30 1.4× 33 217
Yuri Yin‐Moe Aung United Kingdom 2 157 3.3× 39 1.6× 84 3.5× 14 0.7× 53 2.5× 5 266
Philip Rothschild Australia 3 117 2.5× 34 1.4× 86 3.6× 20 1.0× 29 1.4× 6 207
José Florencio F. Lapeña Philippines 8 66 1.4× 20 0.8× 23 1.0× 20 1.0× 30 1.4× 40 174
Sophia M. Pressman United States 9 146 3.1× 24 1.0× 51 2.1× 21 1.0× 64 3.0× 18 229
Rachel Lea Draelos United States 7 41 0.9× 9 0.4× 59 2.5× 22 1.0× 109 5.2× 9 227

Countries citing papers authored by Ranveer Vasdev

Since Specialization
Citations

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

Fields of papers citing papers by Ranveer Vasdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranveer Vasdev

This figure shows the co-authorship network connecting the top 25 collaborators of Ranveer Vasdev. A scholar is included among the top collaborators of Ranveer Vasdev 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 Ranveer Vasdev. Ranveer Vasdev 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.
Vasdev, Ranveer, Spyridon P. Basourakos, David Y. Yang, et al.. (2025). Trends in Outpatient Radical Prostatectomy and Same-Day Discharge for Prostate Cancer: Analysis of the National Inpatient Sample and Nationwide Ambulatory Surgery Sample. Urology Practice. 12(3). 305–315. 1 indexed citations
3.
Vasdev, Ranveer, Tianyu He, Sevann Helo, et al.. (2025). Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis. Urology. 201. 183–189.
4.
Vasdev, Ranveer, et al.. (2024). Self-adjusted Nitrous Oxide During Urodynamic Studies Reduces Patient Pain Without Compromising Study Quality: A Randomized Controlled Trial. European Urology Open Science. 68. 25–31. 1 indexed citations
5.
Basourakos, Spyridon P., Ranveer Vasdev, Vidit Sharma, et al.. (2024). Artificial intelligence model for automated surgical instrument detection and counting: an experimental proof-of-concept study. Patient Safety in Surgery. 18(1). 24–24. 7 indexed citations
6.
Sharma, Vidit, Ranveer Vasdev, Spyridon P. Basourakos, et al.. (2024). Comparing Frailty Indices for Risk Stratification in Urologic Oncology: Which Index to Choose?. Urology. 194. 154–161. 1 indexed citations
7.
Vasdev, Ranveer, et al.. (2024). Intradetrusor botox injection and augmentation cystoplasty trends among spina bifida patients at US freestanding children's hospitals. Journal of Pediatric Urology. 20(3). 482.e1–482.e6. 1 indexed citations
8.
Wang, Hsin‐Hsiao Scott, Ranveer Vasdev, & Caleb P. Nelson. (2023). Artificial Intelligence in Pediatric Urology. Urologic Clinics of North America. 51(1). 91–103. 11 indexed citations
9.
Vasdev, Ranveer, et al.. (2023). Joint engineering‐medical school programs prepare physicians for clinical challenges: An observational study. Health Science Reports. 6(11). 3 indexed citations
10.
Choi, Janet S., et al.. (2023). Machine Learning Prediction of Objective Hearing Loss With Demographics, Clinical Factors, and Subjective Hearing Status. Otolaryngology. 169(3). 504–513. 9 indexed citations
11.
Vasdev, Ranveer, Gerald W. Timm, Sean P. Elliott, et al.. (2023). Objective Quantification of Detrusor Overactivity Using Spectral Measures of Cystometry Data. Urology. 174. 206–211. 1 indexed citations
12.
Vasdev, Ranveer, et al.. (2022). Data Gap in Sacral Neuromodulation Documentation: Call to Improve Documentation Protocols. International Neurourology Journal. 26(3). 227–233.
13.
Vasdev, Ranveer, Molly Dewitt‐Foy, & Sean P. Elliott. (2022). Sacral Insufficiency Fractures After Total Pubectomy for Osteomyelitis: A Case Series. Urology. 170. 203–208.
14.
Johnson, Stephen M., et al.. (2021). Adenosine A2a receptors modulate TrkB receptor-dependent respiratory plasticity in neonatal rats. Respiratory Physiology & Neurobiology. 294. 103743–103743.
16.
Heller, Nicholas, Matthew Peterson, Stephanie Peterson, et al.. (2020). An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging. European Urology Open Science. 19. e738–e738. 5 indexed citations
17.
Vasdev, Ranveer, et al.. (2020). Litigation risks despite guideline adherence for acute spinal cord injury: time is spine. Neurosurgical FOCUS. 49(5). E17–E17. 2 indexed citations
18.
Heller, Nicholas, Sean McSweeney, Paul Blake, et al.. (2020). Public Perceptions of Artificial Intelligence and Robotics in Medicine. Journal of Endourology. 34(10). 1041–1048. 66 indexed citations
19.
Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). MP42-11 AN INTERNATIONAL CHALLENGE TO USE ARTIFICIAL INTELLIGENCE TO DEFINE THE STATE OF THE ART IN KIDNEY AND KIDNEY TUMOR SEGMENTATION IN CT IMAGING. The Journal of Urology. 203(Supplement 4).
20.
Heller, Nicholas, Sean McSweeney, Matthew Peterson, et al.. (2020). An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.. Journal of Clinical Oncology. 38(6_suppl). 626–626. 10 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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