Brad Harwood

490 total citations
24 papers, 364 citations indexed

About

Brad Harwood is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Brad Harwood has authored 24 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 16 papers in Cognitive Neuroscience and 9 papers in Orthopedics and Sports Medicine. Recurrent topics in Brad Harwood's work include Muscle activation and electromyography studies (18 papers), Motor Control and Adaptation (15 papers) and Sports Performance and Training (7 papers). Brad Harwood is often cited by papers focused on Muscle activation and electromyography studies (18 papers), Motor Control and Adaptation (15 papers) and Sports Performance and Training (7 papers). Brad Harwood collaborates with scholars based in Canada, United States and United Kingdom. Brad Harwood's co-authors include Charles L. Rice, Brian H. Dalton, Jennifer M. Jakobi, Ruth E. Brown, Kayla Cornett, In Ho Choi, Timothy J. Doherty, Geoffrey A. Power, Shaun G. Boe and Kenji A. Kenno and has published in prestigious journals such as Journal of Neurophysiology, Journal of Applied Physiology and Neuroscience.

In The Last Decade

Brad Harwood

24 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brad Harwood Canada 12 287 151 145 41 40 24 364
Marcel B. Lanza United States 14 334 1.2× 98 0.6× 298 2.1× 16 0.4× 21 0.5× 42 514
Alessio Gallina United Kingdom 15 389 1.4× 179 1.2× 148 1.0× 35 0.9× 52 1.3× 50 588
Benjamin Pasquet Belgium 7 456 1.6× 196 1.3× 279 1.9× 130 3.2× 36 0.9× 8 565
Deanna Horvath Australia 11 125 0.4× 50 0.3× 103 0.7× 62 1.5× 26 0.7× 15 437
Tsugutake Yoneda Japan 9 158 0.6× 119 0.8× 141 1.0× 30 0.7× 22 0.6× 15 366
Utku Ş. Yavuz Netherlands 11 293 1.0× 179 1.2× 54 0.4× 32 0.8× 84 2.1× 23 387
G Hamilton United States 3 205 0.7× 48 0.3× 171 1.2× 54 1.3× 20 0.5× 5 426
TIBOR HORTOB GYI United States 5 324 1.1× 111 0.7× 309 2.1× 91 2.2× 15 0.4× 5 564
Ashley Critchlow United States 6 393 1.4× 150 1.0× 295 2.0× 28 0.7× 9 0.2× 9 562
Morgan Lévénez Belgium 8 255 0.9× 143 0.9× 131 0.9× 83 2.0× 30 0.8× 16 394

Countries citing papers authored by Brad Harwood

Since Specialization
Citations

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

Fields of papers citing papers by Brad Harwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Harwood

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Harwood. A scholar is included among the top collaborators of Brad Harwood 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 Brad Harwood. Brad Harwood 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.
Dalton, Brian H., et al.. (2020). Differential Modulation of Motor Unit Properties from the Separate Components of the Triceps Surae in Humans. Neuroscience. 428. 192–198. 4 indexed citations
2.
Harwood, Brad, et al.. (2016). Rate modulation of human anconeus motor units during high-intensity dynamic elbow extensions. Journal of Applied Physiology. 121(2). 475–482. 6 indexed citations
3.
Harwood, Brad, et al.. (2016). Neuromuscular responses of the plantar flexors to whole‐body vibration. Scandinavian Journal of Medicine and Science in Sports. 27(12). 1569–1575. 13 indexed citations
4.
Harwood, Brad, et al.. (2016). Duration of fascicle shortening is affected by muscle architecture and sex. European Journal of Applied Physiology. 116(11-12). 2237–2245. 4 indexed citations
5.
Harwood, Brad, et al.. (2015). Changes in Anconeus Motor Unit Firing Rates During High-Intensity Dynamic Elbow Extensor Fatiguing Contractions. Medicine & Science in Sports & Exercise. 47(5S). 322–322. 1 indexed citations
6.
7.
Harwood, Brad, Brian H. Dalton, Geoffrey A. Power, & Charles L. Rice. (2013). Motor unit properties from three synergistic muscles during ramp isometric elbow extensions. Experimental Brain Research. 231(4). 501–510. 13 indexed citations
8.
Harwood, Brad, et al.. (2013). Anconeus motor unit number estimates using decomposition‐based quantitative electromyography. Muscle & Nerve. 50(1). 52–59. 11 indexed citations
9.
Harwood, Brad & Charles L. Rice. (2012). Changes in motor unit recruitment thresholds of the human anconeus muscle during torque development preceding shortening elbow extensions. Journal of Neurophysiology. 107(10). 2876–2884. 20 indexed citations
10.
Harwood, Brad, In Ho Choi, & Charles L. Rice. (2012). Reduced motor unit discharge rates of maximal velocity dynamic contractions in response to a submaximal dynamic fatigue protocol. Journal of Applied Physiology. 113(12). 1821–1830. 20 indexed citations
11.
Harwood, Brad, et al.. (2011). Age- and sex-related differences for electromyography gaps during daily activity and a discrete task. Gait & Posture. 34(1). 6–12. 9 indexed citations
12.
Harwood, Brad, et al.. (2010). Effect Of Elbow Joint Angle On Anconeus Fascicle Length And Motor Unit Firing Rates. Medicine & Science in Sports & Exercise. 42(5). 584–585. 7 indexed citations
13.
Harwood, Brad, et al.. (2010). Motor unit discharge rates of the anconeus muscle during high-velocity elbow extensions. Experimental Brain Research. 208(1). 103–113. 28 indexed citations
14.
Harwood, Brad, et al.. (2010). Age independent and position-dependent alterations in motor unit activity of the biceps brachii. European Journal of Applied Physiology. 110(1). 27–38. 14 indexed citations
15.
Dalton, Brian H., et al.. (2009). Triceps surae contractile properties and firing rates in the soleus of young and old men. Journal of Applied Physiology. 107(6). 1781–1788. 64 indexed citations
16.
Boe, Shaun G., Brian H. Dalton, Brad Harwood, Timothy J. Doherty, & Charles L. Rice. (2009). Inter-rater reliability of motor unit number estimates and quantitative motor unit analysis in the tibialis anterior muscle. Clinical Neurophysiology. 120(5). 947–952. 25 indexed citations
17.
Dalton, Brian H., et al.. (2009). Recovery of Motoneuron Output Is Delayed in Old Men Following High-Intensity Fatigue. Journal of Neurophysiology. 103(2). 977–985. 33 indexed citations
18.
Harwood, Brad, et al.. (2008). Differential Derecruitment Thresholds of the Long and Short Heads of the Biceps Brachii in Young and Old Men.. Medicine & Science in Sports & Exercise. 40(5). S446–S446. 1 indexed citations
19.
Harwood, Brad, et al.. (2008). Age- and sex-related differences in muscle activation for a discrete functional task. European Journal of Applied Physiology. 103(6). 677–686. 28 indexed citations
20.
Harwood, Brad, et al.. (2007). Quantifying Muscular Activation And Rest In A Discrete Functional Task Of Older Men And Women. Medicine & Science in Sports & Exercise. 39(5). S267–S267. 2 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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