Kevin E. Power

2.2k citations
46 papers · 1.7k · h-index 19

Impact in

Papers in

Kevin E. Power

45 papers receiving 1.6k citations

Peers

Kevin E. Power
Comparison fields: 5 of 64
  • Orthopedics and Sports Medicine 946
  • Neurology 334
  • Occupational Therapy 73
  • Cognitive Neuroscience 328
  • Biomedical Engineering 754
Replace Gabriel S. Trajano with:
Gabriel S. Trajano Australia
Jakob Škarabot United Kingdom
Saied Jalal Aboodarda Canada
Jason M. DeFreitas United States
Christopher A. Knight United States
Robert S. Hutton United States
Tejin Yoon United States
Gregory E. P. Pearcey Canada
Arnaud Guével France
Thomas Lapole France
Kevin E. Power relative to Gabriel S. Trajano Australia Gabriel S. Trajano's profile →
Citations per field
00.5×2.5×
Gabriel S. Trajano · 1×
Citations per year

Countries citing papers authored by Kevin E. Power

Since Specialization
Citations

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

Fields of papers citing papers by Kevin E. Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin E. Power. 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 Kevin E. Power. The network helps show where Kevin E. Power may publish in the future.

Co-authors

The 25 scholars most cited alongside Kevin E. Power, 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 Kevin E. Power Line = papers co-authored together Kevin E. Power links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004309
2 2004289
3 2014136
4 2005123
5 2001110
6 201047
7 201444
8 200339
9 201438
10 201535
11 201531
12 201430
13 200528
14 201426
15 201525
16 201624
17 201621
18 201620
19 201818
20 201518

About Kevin E. Power

Kevin E. Power is a scholar working on Biomedical Engineering, Neurology, Cognitive Neuroscience, Orthopedics and Sports Medicine and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (29 papers), Transcranial Magnetic Stimulation Studies (27 papers), Motor Control and Adaptation (20 papers), Sports injuries and prevention (9 papers), Sports Performance and Training (6 papers), Neuroscience and Neural Engineering (3 papers), Cardiovascular Effects of Exercise (2 papers) and Spinal Cord Injury Research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (946 citations), Neurology (334 citations), Occupational Therapy (73 citations), Cognitive Neuroscience (328 citations) and Biomedical Engineering (754 citations). Kevin E. Power has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include David G. Behm, Duane C. Button, Farrell Cahill, Michael K. Carroll, Warren Young, Eric J. Drinkwater, Davis A. Forman, Gregory E. P. Pearcey, Kenneth G. Anderson and Michael J. Wahl. Their work appears in journals such as Applied Physiology Nutrition and Metabolism, Journal of Neurophysiology, Medicine & Science in Sports & Exercise, Experimental Brain Research and Muscle & Nerve.

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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