Vinayak Swarnkar

1.1k total citations
32 papers, 741 citations indexed

About

Vinayak Swarnkar is a scholar working on Physiology, Cognitive Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vinayak Swarnkar has authored 32 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 15 papers in Cognitive Neuroscience and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vinayak Swarnkar's work include Respiratory and Cough-Related Research (14 papers), Obstructive Sleep Apnea Research (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Vinayak Swarnkar is often cited by papers focused on Respiratory and Cough-Related Research (14 papers), Obstructive Sleep Apnea Research (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Vinayak Swarnkar collaborates with scholars based in Australia, Indonesia and United Kingdom. Vinayak Swarnkar's co-authors include Udantha R. Abeyratne, Rina Triasih, Amalia Setyati, Roneel V. Sharan, Craig Hukins, Paul Porter, Anne B. Chang, Brett Duce, Jamie Tan and Joanna Brisbane and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Annals of Biomedical Engineering and Respiratory Research.

In The Last Decade

Vinayak Swarnkar

32 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinayak Swarnkar Australia 16 456 272 121 113 109 32 741
Jilong Kuang United States 15 289 0.6× 150 0.6× 87 0.7× 64 0.6× 21 0.2× 80 650
Renard Xaviero Adhi Pramono United Kingdom 7 362 0.8× 81 0.3× 157 1.3× 79 0.7× 39 0.4× 11 433
Jordi Laguarta United States 2 153 0.3× 47 0.2× 96 0.8× 194 1.7× 37 0.3× 3 355
María Riera Sagrera Spain 11 92 0.2× 160 0.6× 64 0.5× 31 0.3× 15 0.1× 33 423
Abbas K. Abbas Germany 9 191 0.4× 45 0.2× 44 0.4× 119 1.1× 8 0.1× 12 500
Suzanne M. Kelly United States 16 304 0.7× 126 0.5× 14 0.1× 20 0.2× 21 0.2× 41 870
Ghada Zamzmi United States 16 85 0.2× 26 0.1× 8 0.1× 197 1.7× 96 0.9× 54 649
Jeffrey Lubin United States 16 161 0.4× 15 0.1× 32 0.3× 112 1.0× 6 0.1× 66 837
Philip Warrick Canada 16 367 0.8× 17 0.1× 44 0.4× 18 0.2× 5 0.0× 65 866
R. González-Camarena Mexico 16 315 0.7× 27 0.1× 146 1.2× 13 0.1× 5 0.0× 55 617

Countries citing papers authored by Vinayak Swarnkar

Since Specialization
Citations

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

Fields of papers citing papers by Vinayak Swarnkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinayak Swarnkar

This figure shows the co-authorship network connecting the top 25 collaborators of Vinayak Swarnkar. A scholar is included among the top collaborators of Vinayak Swarnkar 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 Vinayak Swarnkar. Vinayak Swarnkar 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.
Duce, Brett, et al.. (2020). Polysomnographic risk factors for vigilance-related cognitive decline and obstructive sleep apnea. Sleep And Breathing. 25(1). 75–83. 5 indexed citations
2.
Swarnkar, Vinayak, et al.. (2019). Stratifying asthma severity in children using cough sound analytic technology. Journal of Asthma. 58(2). 160–169. 15 indexed citations
3.
Porter, Paul, Udantha R. Abeyratne, Vinayak Swarnkar, et al.. (2019). A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children. Respiratory Research. 20(1). 81–81. 85 indexed citations
4.
Moschovis, Peter P., Paul Porter, Udantha R. Abeyratne, et al.. (2019). A Cough Analysis Smartphone Application for Diagnosis of Acute Respiratory Illnesses in Children. A1181–A1181. 7 indexed citations
5.
6.
Sharan, Roneel V., Udantha R. Abeyratne, Vinayak Swarnkar, & Paul Porter. (2018). Automatic Croup Diagnosis Using Cough Sound Recognition. IEEE Transactions on Biomedical Engineering. 66(2). 485–495. 60 indexed citations
7.
Sharan, Roneel V., et al.. (2018). Predicting spirometry readings using cough sound features and regression. Physiological Measurement. 39(9). 95001–95001. 31 indexed citations
8.
Abeyratne, Udantha R., et al.. (2018). Snore Sound Analysis Can Detect the Presence of Obstructive Sleep Apnea Specific to NREM or REM Sleep. Journal of Clinical Sleep Medicine. 14(6). 991–1003. 22 indexed citations
9.
Abeyratne, Udantha R., et al.. (2015). Cough Sound Analysis for Pneumonia and Asthma Classification in Pediatric Population. 127–131. 42 indexed citations
10.
Swarnkar, Vinayak, et al.. (2013). Automatic Identification of Wet and Dry Cough in Pediatric Patients with Respiratory Diseases. Annals of Biomedical Engineering. 41(5). 1016–1028. 53 indexed citations
11.
Abeyratne, Udantha R., Vinayak Swarnkar, Amalia Setyati, & Rina Triasih. (2013). Cough Sound Analysis Can Rapidly Diagnose Childhood Pneumonia. Annals of Biomedical Engineering. 41(11). 2448–2462. 80 indexed citations
12.
Abeyratne, Udantha R., et al.. (2012). High frequency analysis of cough sounds in pediatric patients with respiratory diseases. PubMed. 2012. 5654–5657. 15 indexed citations
13.
Swarnkar, Vinayak, et al.. (2012). Automated algorithm for Wet/Dry cough sounds classification. PubMed. 2012. 3147–50. 13 indexed citations
14.
Swarnkar, Vinayak, Udantha R. Abeyratne, & Craig Hukins. (2010). Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG. Medical & Biological Engineering & Computing. 48(12). 1203–1213. 27 indexed citations
15.
Abeyratne, Udantha R., Vinayak Swarnkar, Craig Hukins, & Brett Duce. (2010). Interhemispheric Asynchrony Correlates With Severity of Respiratory Disturbance Index in Patients With Sleep Apnea. IEEE Transactions on Biomedical Engineering. 57(12). 2947–2955. 20 indexed citations
16.
Swarnkar, Vinayak, Udantha R. Abeyratne, Craig Hukins, & Brett Duce. (2009). A state transition-based method for quantifying EEG sleep fragmentation. Medical & Biological Engineering & Computing. 47(10). 1053–1061. 18 indexed citations
17.
Swarnkar, Vinayak, Udantha R. Abeyratne, & Craig Hukins. (2007). Inter-hemispheric asynchrony of the brain during events of apnoea and EEG arousals. Physiological Measurement. 28(8). 869–880. 9 indexed citations
18.
Swarnkar, Vinayak & Udantha R. Abeyratne. (2006). Statistical analysis of EEG arousals in sleep apnea syndrome. Queensland's institutional digital repository (The University of Queensland). 1(1). 282–287. 5 indexed citations
19.
Abeyratne, Udantha R., et al.. (2006). Dynamic Data Analysis in Obstructive Sleep Apnea. PubMed. 1. 4510–4513. 2 indexed citations
20.
Swarnkar, Vinayak, et al.. (2006). Left-Right Information flow in the Brain during EEG arousals. PubMed. 2006. 6133–6136. 5 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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