Avinash Parnandi

31 papers receiving 762 citations

Peers

Avinash Parnandi
Comparison fields: 5 of 80
  • Rehabilitation 172
  • Human-Computer Interaction 81
  • Applied Psychology 61
  • Cognitive Neuroscience 185
  • Experimental and Cognitive Psychology 118
Replace John Edison Muñoz with:
John Edison Muñoz Canada
Giacinto Barresi Italy
Giovanni Albani Italy
Gianluigi Reni Italy
Prabitha Urwyler Switzerland
Erika Rovini Italy
Marcela Múnera Colombia
Thomas Ploetz United States
Shaw Bronner United States
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Citations per year

Countries citing papers authored by Avinash Parnandi

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Parnandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Avinash Parnandi, 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 Avinash Parnandi Line = papers co-authored together Avinash Parnandi 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 2009109
2 202158
3 201052
4 201449
5 201541
6 201940
7 201539
8 201432
9 201431
10 201331
11 201031
12 201030
13 201528
14 201728
15 201324
16 201724
17 201324
18 201122
19 201121
20 201114

About Avinash Parnandi

Avinash Parnandi is a scholar working on Rehabilitation, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Epidemiology and Experimental and Cognitive Psychology, having authored 32 papers that have together received 788 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (15 papers), Heart Rate Variability and Autonomic Control (7 papers), Acute Ischemic Stroke Management (6 papers), Behavioral Health and Interventions (5 papers), Mental Health Research Topics (5 papers), Language Development and Disorders (3 papers), Balance, Gait, and Falls Prevention (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Rehabilitation (172 citations), Human-Computer Interaction (81 citations), Applied Psychology (61 citations), Cognitive Neuroscience (185 citations) and Experimental and Cognitive Psychology (118 citations). Avinash Parnandi has collaborated with scholars based in United States, Qatar and Australia. Frequent co-authors include Ricardo Gutiérrez‐Osuna, Eric Wade, Maja J. Matarić, Beena Ahmed, Heidi M. Schambra, Gaurav S. Sukhatme, Gerald E. Loeb, Nicholas Wettels, Eva M. Shipp and Grace Kim. Their work appears in journals such as IEEE Transactions on Affective Computing, Frontiers in Neurology, IEEE Journal of Biomedical and Health Informatics, Speech Communication and Sensors.

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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