Ganesh Vigneswaran

759 total citations
33 papers, 512 citations indexed

About

Ganesh Vigneswaran is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Ganesh Vigneswaran has authored 33 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 9 papers in Surgery and 7 papers in Urology. Recurrent topics in Ganesh Vigneswaran's work include Urinary Bladder and Prostate Research (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ganesh Vigneswaran is often cited by papers focused on Urinary Bladder and Prostate Research (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ganesh Vigneswaran collaborates with scholars based in United Kingdom, United States and Australia. Ganesh Vigneswaran's co-authors include Roger Lemon, Alexander Kraskov, Roland Philipp, Sachin Modi, Stephan Waldert, Nigel Hacking, Tim Bryant, M. M. Quallo, Mark Harris and Jonathan Dyer and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ganesh Vigneswaran

28 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesh Vigneswaran United Kingdom 8 309 174 114 86 65 33 512
B.S. Athwal United Kingdom 6 353 1.1× 29 0.2× 148 1.3× 12 0.1× 172 2.6× 8 786
A. Assmus Germany 6 286 0.9× 190 1.1× 48 0.4× 3 0.0× 82 1.3× 8 550
D. Brechtelsbauer Germany 12 212 0.7× 41 0.2× 65 0.6× 27 0.3× 4 0.1× 25 537
Massimo Mondani Italy 12 187 0.6× 42 0.2× 117 1.0× 18 0.2× 3 0.0× 17 461
K. Srinivasa Babu India 15 220 0.7× 99 0.6× 75 0.7× 22 0.3× 2 0.0× 40 716
Stefania Bruni Italy 11 295 1.0× 239 1.4× 59 0.5× 23 0.3× 20 455
Mélanie Kaeser Switzerland 12 172 0.6× 41 0.2× 123 1.1× 5 0.1× 5 0.1× 24 494
H. Gerhard Germany 10 342 1.1× 20 0.1× 96 0.8× 36 0.4× 7 0.1× 28 714
Pietro Balbi Italy 16 92 0.3× 15 0.1× 89 0.8× 10 0.1× 26 0.4× 39 762
Guglielmo Puglisi Italy 17 405 1.3× 159 0.9× 27 0.2× 94 1.1× 37 858

Countries citing papers authored by Ganesh Vigneswaran

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Vigneswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Vigneswaran

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Vigneswaran. A scholar is included among the top collaborators of Ganesh Vigneswaran 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 Ganesh Vigneswaran. Ganesh Vigneswaran 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.
Naiseh, Mohammad, Saqib Rahman, Samuel L. Hill, et al.. (2025). Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making. EClinicalMedicine. 89. 103527–103527.
2.
Dao, Tien Tuan, Jennifer Williams, John Robert Bautista, et al.. (2025). TAME Pain data release: using audio signals to characterize pain. Scientific Data. 12(1). 595–595. 1 indexed citations
3.
Vigneswaran, Ganesh, et al.. (2025). Glue Penetration Index Score for Use during Glue Prostate Artery Embolization. CardioVascular and Interventional Radiology. 48(9). 1355–1360.
4.
Vigneswaran, Ganesh, et al.. (2024). A machine learning approach using stone volume to predict stone-free status after ureteroscopy for kidney stones. European Urology Open Science. 59. S41–S42. 3 indexed citations
5.
Neale, James, M.J. Ward, Costa Repanos, et al.. (2024). Comparison of British Thyroid Association and TIRADS classifications and their impact on the radiological and surgical management of indeterminate thyroid nodules. Clinical Radiology. 80. 106725–106725. 1 indexed citations
6.
Farahi, Arya, Elvira Pérez Vallejos, Zoë S. Walters, et al.. (2024). Insights from explainable AI in oesophageal cancer team decisions. Computers in Biology and Medicine. 180. 108978–108978. 1 indexed citations
7.
Vigneswaran, Ganesh, et al.. (2024). A machine learning approach using stone volume to predict stone-free status at ureteroscopy. World Journal of Urology. 42(1). 344–344. 7 indexed citations
8.
9.
Williams, Jennifer, Arya Farahi, Tina Seabrooke, et al.. (2023). TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. ePrints Soton (University of Southampton). 1–4. 2 indexed citations
10.
Walters, Zoë S., et al.. (2023). Machine learning to predict curative multidisciplinary team treatment decisions in oesophageal cancer. European Journal of Surgical Oncology. 49(11). 106986–106986. 11 indexed citations
11.
Vigneswaran, Ganesh, et al.. (2023). The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?. Journal of Gastrointestinal Surgery. 27(4). 807–822. 7 indexed citations
12.
Vigneswaran, Ganesh, et al.. (2022). Comprehensive Review on Current Controversies and Debate in Prostate Artery Embolization. SHILAP Revista de lepidopterología. 48(3). 166–173. 6 indexed citations
13.
Vigneswaran, Ganesh, M El Hadi, Mark Harris, et al.. (2022). The Effect of Protective Coil Embolization of Penile Anastomoses during Prostatic Artery Embolization on Erectile Function: A Propensity-Matched Analysis. Journal of Vascular and Interventional Radiology. 34(2). 218–224.e1. 3 indexed citations
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16.
Wong, Simon H., Ganesh Vigneswaran, Tim Bryant, et al.. (2021). 10-year experience of Paediatric varicocele embolization in a tertiary centre with long-term follow-up. Journal of Pediatric Urology. 18(2). 113.e1–113.e6. 4 indexed citations
17.
Hacking, Nigel, Ganesh Vigneswaran, Sachin Modi, et al.. (2019). Technical and Imaging Outcomes from the UK Registry of Prostate Artery Embolization (UK-ROPE) Study: Focusing on Predictors of Clinical Success. CardioVascular and Interventional Radiology. 42(5). 666–676. 44 indexed citations
18.
Waldert, Stephan, Ganesh Vigneswaran, Roland Philipp, Roger Lemon, & Alexander Kraskov. (2015). Modulation of the Intracortical LFP during Action Execution and Observation. Journal of Neuroscience. 35(22). 8451–8461. 20 indexed citations
19.
Vigneswaran, Ganesh, Roland Philipp, Roger Lemon, & Alexander Kraskov. (2013). M1 Corticospinal Mirror Neurons and Their Role in Movement Suppression during Action Observation. Current Biology. 23(3). 236–243. 161 indexed citations
20.
Vigneswaran, Ganesh, Alexander Kraskov, & Roger Lemon. (2011). Large Identified Pyramidal Cells in Macaque Motor and Premotor Cortex Exhibit “Thin Spikes”: Implications for Cell Type Classification. Journal of Neuroscience. 31(40). 14235–14242. 133 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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