K. Puvanendran

32 papers receiving 1.0k citations

Peers

K. Puvanendran
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 331
  • Experimental and Cognitive Psychology 296
  • Physiology 501
  • Signal Processing 126
  • Cognitive Neuroscience 220
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Citations per year

Countries citing papers authored by K. Puvanendran

Since Specialization
Citations

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

Fields of papers citing papers by K. Puvanendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Puvanendran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Puvanendran Line = papers co-authored together K. Puvanendran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013178
2 2004153
3 2012119
4 2007108
5 198376
6 201465
7
From snoring to sleep apnea in a Singapore population.
199939
8 200931
9 197929
10 200828
11 200127
12
A retrospective review of patients with clinically definite multiple sclerosis.
199825
13
Formant-structure and phase-coupling analysis of human snoring sounds for the detection of Obstructive Sleep Apnea
200120
14 200517
15
Speech-like Analysis of Snore Signals for the Detection of Obstructive Sleep Apnea
200616
16 197816
17 200914
18 199912
19 197911
20 197711

About K. Puvanendran

K. Puvanendran is a scholar working on Endocrine and Autonomic Systems, Signal Processing, Neurology, Experimental and Cognitive Psychology and Physiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (8 papers), Speech and Audio Processing (6 papers), Sleep and related disorders (4 papers), Sleep and Work-Related Fatigue (4 papers), Myasthenia Gravis and Thymoma (4 papers), Voice and Speech Disorders (3 papers), Neuroscience of respiration and sleep (3 papers) and Parkinson's Disease and Spinal Disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (331 citations), Experimental and Cognitive Psychology (296 citations), Physiology (501 citations), Signal Processing (126 citations) and Cognitive Neuroscience (220 citations). K. Puvanendran has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Udaya Seneviratne, Udantha R. Abeyratne, Tong San Koh, Andrew Keong Ng, Joshua J. Gooley, Sing Chen Yeo, Eric Chern-Pin Chua, G Devathasan, K.L. Goh and Poh Kam Wong. Their work appears in journals such as Sleep Medicine, Journal of Neurology Neurosurgery & Psychiatry, SLEEP, Annals of Biomedical Engineering and Acta Neurologica Scandinavica.

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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