S. Swaroop Vedula

3.0k total citations
33 papers, 1.1k citations indexed

About

S. Swaroop Vedula is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Swaroop Vedula has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 7 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Swaroop Vedula's work include Surgical Simulation and Training (14 papers), Anatomy and Medical Technology (6 papers) and Meta-analysis and systematic reviews (5 papers). S. Swaroop Vedula is often cited by papers focused on Surgical Simulation and Training (14 papers), Anatomy and Medical Technology (6 papers) and Meta-analysis and systematic reviews (5 papers). S. Swaroop Vedula collaborates with scholars based in United States, Switzerland and India. S. Swaroop Vedula's co-authors include Kay Dickersin, Tianjing Li, Roberta W. Scherer, Lisa Bero, Milo A. Puhan, Sonal Singh, Gregory D. Hager, Robin L. Gal, Roy W. Beck and Anand Malpani and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

S. Swaroop Vedula

31 papers receiving 1.1k citations

Peers

S. Swaroop Vedula
Andrew P. Grieve United Kingdom
Vance W. Berger United States
Laura Flight United Kingdom
Benjamin P. George United States
Samantha Cruz Rivera United Kingdom
S. Swaroop Vedula
Citations per year, relative to S. Swaroop Vedula S. Swaroop Vedula (= 1×) peers Liliane Zorzela

Countries citing papers authored by S. Swaroop Vedula

Since Specialization
Citations

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

Fields of papers citing papers by S. Swaroop Vedula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Swaroop Vedula. 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 S. Swaroop Vedula. The network helps show where S. Swaroop Vedula may publish in the future.

Co-authorship network of co-authors of S. Swaroop Vedula

This figure shows the co-authorship network connecting the top 25 collaborators of S. Swaroop Vedula. A scholar is included among the top collaborators of S. Swaroop Vedula 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 S. Swaroop Vedula. S. Swaroop Vedula 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.
Sahu, Manish, Jose L. Porras, S. Swaroop Vedula, et al.. (2024). An endoscopic chisel: intraoperative imaging carves 3D anatomical models. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1359–1366. 2 indexed citations
2.
Sahu, Manish, S. Swaroop Vedula, Masaru Ishii, et al.. (2024). OneSLAM to map them all: a generalized approach to SLAM for monocular endoscopic imaging based on tracking any point. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1259–1266. 3 indexed citations
3.
Kiemen, Ashley, Mohamad Dbouk, Azarakhsh Baghdadi, et al.. (2024). Magnetic Resonance Imaging–Based Assessment of Pancreatic Fat Strongly Correlates With Histology-Based Assessment of Pancreas Composition. Pancreas. 53(2). e180–e186. 4 indexed citations
4.
Sahu, Manish, S. Swaroop Vedula, Masaru Ishii, et al.. (2023). Investigating keypoint descriptors for camera relocalization in endoscopy surgery. International Journal of Computer Assisted Radiology and Surgery. 18(7). 1135–1142. 1 indexed citations
5.
Chen, Chi Chiung Grace, Anand Malpani, Madeleine M. Waldram, et al.. (2023). Effect of pre-operative warm-up on trainee intraoperative performance during robot-assisted hysterectomy: a randomized controlled trial. International Urogynecology Journal. 34(11). 2751–2758. 2 indexed citations
6.
Ryan, John F., Anand Malpani, Kofi Boahene, et al.. (2022). Do Attending and Trainee Surgeons Agree on What Happens in the Operating Room During Septoplasty?. Facial Plastic Surgery & Aesthetic Medicine. 24(6). 472–477. 1 indexed citations
7.
Caffo, Brian, et al.. (2022). A Unified Framework on Generalizability of Clinical Prediction Models. Frontiers in Artificial Intelligence. 5. 872720–872720. 12 indexed citations
8.
Vedula, S. Swaroop, et al.. (2022). Artificial Intelligence in Clinical Practice Is Here—Now What?. JAMA Ophthalmology. 140(4). 306–306. 4 indexed citations
9.
Nair, Akshay Gopinathan, et al.. (2021). Effectiveness of simulation-based training for manual small incision cataract surgery among novice surgeons: a randomized controlled trial. Scientific Reports. 11(1). 10945–10945. 25 indexed citations
10.
Malpani, Anand, S. Swaroop Vedula, Henry Lin, Gregory D. Hager, & Russell H. Taylor. (2020). Effect of real-time virtual reality-based teaching cues on learning needle passing for robot-assisted minimally invasive surgery: a randomized controlled trial. International Journal of Computer Assisted Radiology and Surgery. 15(7). 1187–1194. 13 indexed citations
11.
DiPietro, Robert, Narges Ahmidi, Anand Malpani, et al.. (2019). Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks. International Journal of Computer Assisted Radiology and Surgery. 14(11). 2005–2020. 45 indexed citations
12.
Vedula, S. Swaroop, Anand Malpani, Narges Ahmidi, et al.. (2018). Association Between Surgical Trainee Daytime Sleepiness and Intraoperative Technical Skill When Performing Septoplasty. JAMA Facial Plastic Surgery. 21(2). 104–109. 1 indexed citations
13.
Vedula, S. Swaroop, Anand Malpani, Narges Ahmidi, et al.. (2016). Task-Level vs. Segment-Level Quantitative Metrics for Surgical Skill Assessment. Journal of surgical education. 73(3). 482–489. 28 indexed citations
14.
Gao, Yixin, et al.. (2016). Query-by-example surgical activity detection. International Journal of Computer Assisted Radiology and Surgery. 11(6). 987–996. 6 indexed citations
15.
Malpani, Anand, S. Swaroop Vedula, Chi Chiung Grace Chen, & Gregory D. Hager. (2015). A study of crowdsourced segment-level surgical skill assessment using pairwise rankings. International Journal of Computer Assisted Radiology and Surgery. 10(9). 1435–1447. 31 indexed citations
16.
Wieland, L. Susan, Lainie Rutkow, S. Swaroop Vedula, et al.. (2014). Who Has Used Internal Company Documents for Biomedical and Public Health Research and Where Did They Find Them?. PLoS ONE. 9(5). e94709–e94709. 8 indexed citations
17.
Ahmidi, Narges, Yixin Gao, Benjamı́n Béjar, et al.. (2013). String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery. Lecture notes in computer science. 16(Pt 1). 26–33. 29 indexed citations
19.
Li, Tianjing, et al.. (2011). Network meta-analysis-highly attractive but more methodological research is needed. BMC Medicine. 9(1). 79–79. 274 indexed citations
20.
Vedula, S. Swaroop, Lisa Bero, Roberta W. Scherer, & Kay Dickersin. (2009). Outcome Reporting in Industry-Sponsored Trials of Gabapentin for Off-Label Use. New England Journal of Medicine. 361(20). 1963–1971. 234 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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