Vinoth K. Ranganathan

2.7k citations
30 papers · 2.0k indexed · h-index 20
Topics
Muscle activation and electromyography studies (12 papers)Motor Control and Adaptation (8 papers)Transcranial Magnetic Stimulation Studies (5 papers)

In The Last Decade

Vinoth K. Ranganathan

30 papers receiving 2.0k citations

Peers

Vinoth K. Ranganathan
Comparison fields: 5 of 120
  • Cognitive Neuroscience 592
  • Biomedical Engineering 542
  • General Health Professions 269
  • Developmental and Educational Psychology 260
  • Rehabilitation 217
Replace Victoria A Goodwin with:
Victoria A Goodwin United Kingdom
Ruth E. Taylor‐Piliae United States
Vanina Dal Bello‐Haas Canada
Barbara A. Rakel United States
Karen P. Y. Liu Australia
Roger Hilfiker Switzerland
Joan McMeeken Australia
Erik Rosendahl Sweden
Joyce M. Engel United States
Beatriz C. Abreu United States
Vinoth K. Ranganathan relative to Victoria A Goodwin United Kingdom Victoria A Goodwin's profile →
Citations per field
00.5×6.2×
Victoria A Goodwin · 1×
Citations per year

Countries citing papers authored by Vinoth K. Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by Vinoth K. Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinoth K. Ranganathan

This figure shows the co-authorship network connecting the top 25 collaborators of Vinoth K. Ranganathan. A scholar is included among the top collaborators of Vinoth K. Ranganathan 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 Vinoth K. Ranganathan. Vinoth K. Ranganathan 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
#WorkIndexed citations
1 5
2 16
3 20
4 2
5 24
6 219
7 26
8 3
9 58
10 79
11 66
12 14
13 229
14
Level of mental effort determines training induced strength increases
12
15 222
16 85
17 65
18 39
19 155
20 101

About Vinoth K. Ranganathan

Vinoth K. Ranganathan is a scholar working on Occupational Therapy, Rehabilitation and Neurology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (12 papers), Motor Control and Adaptation (8 papers) and Transcranial Magnetic Stimulation Studies (5 papers). The work is most often cited by research in Research and Theory (68 citations), Geriatrics and Gerontology (139 citations) and Rehabilitation (217 citations). Vinoth K. Ranganathan has collaborated with scholars based in United States, China and Albania. Frequent co-authors include Vlodek Siemionow, Guang H. Yue, Vinod Sahgal, Jing Z. Liu, Alan M. Jette, Mary Stilphen, Diane U. Jette, Sandra Passek, Frederick Frost and Xiaoming Zhang. Their work appears in journals such as PLoS ONE, Brain Research and Journal of the American Geriatrics Society.

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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