Charles Capaday

5.8k total citations · 2 hit papers
55 papers, 4.4k citations indexed

About

Charles Capaday is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Charles Capaday has authored 55 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 35 papers in Biomedical Engineering and 23 papers in Neurology. Recurrent topics in Charles Capaday's work include Muscle activation and electromyography studies (33 papers), Motor Control and Adaptation (32 papers) and Transcranial Magnetic Stimulation Studies (23 papers). Charles Capaday is often cited by papers focused on Muscle activation and electromyography studies (33 papers), Motor Control and Adaptation (32 papers) and Transcranial Magnetic Stimulation Studies (23 papers). Charles Capaday collaborates with scholars based in Canada, United States and France. Charles Capaday's co-authors include Brigitte Lavoie, R. B. Stein, H. Devanne, R. B. Stein, Cyril Schneider, Richard B. Stein, J.D. Cooke, F.W.J. Cody, Hugues Barbeau and Christian Éthier and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Charles Capaday

51 papers receiving 4.3k citations

Hit Papers

Input-output properties a... 1986 2026 1999 2012 1997 1986 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charles Capaday 2.7k 2.4k 2.1k 491 427 55 4.4k
David F. Collins 1.9k 0.7× 2.7k 1.1× 1.3k 0.6× 477 1.0× 372 0.9× 82 4.2k
N. Petersen 2.1k 0.8× 2.7k 1.1× 2.4k 1.1× 711 1.4× 433 1.0× 84 5.2k
E. Pierrot‐Deseilligny 2.9k 1.1× 3.3k 1.4× 3.1k 1.5× 838 1.7× 377 0.9× 110 6.3k
Riccardo Mazzocchio 1.8k 0.7× 1.2k 0.5× 2.1k 1.0× 305 0.6× 223 0.5× 69 4.0k
P. D. Thompson 2.1k 0.8× 1.7k 0.7× 3.3k 1.5× 688 1.4× 487 1.1× 70 6.0k
Richard Staines 2.9k 1.1× 1.0k 0.4× 1.4k 0.7× 242 0.5× 846 2.0× 152 4.8k
E. Paul Zehr 2.4k 0.9× 3.3k 1.3× 1.9k 0.9× 846 1.7× 1.1k 2.5× 146 5.8k
Jaynie F. Yang 1.6k 0.6× 2.9k 1.2× 871 0.4× 1.3k 2.7× 1.0k 2.4× 81 5.3k
Sabine Meunier 2.1k 0.8× 1.6k 0.7× 2.5k 1.2× 342 0.7× 180 0.4× 117 4.9k
Timothy J. Carroll 2.2k 0.8× 2.7k 1.1× 1.5k 0.7× 188 0.4× 258 0.6× 112 4.6k

Countries citing papers authored by Charles Capaday

Since Specialization
Citations

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

Fields of papers citing papers by Charles Capaday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Capaday

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Capaday. A scholar is included among the top collaborators of Charles Capaday 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 Charles Capaday. Charles Capaday 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
2.
Capaday, Charles. (2021). On the variability of motor-evoked potentials: experimental results and mathematical model. Experimental Brain Research. 239(10). 2979–2995. 8 indexed citations
3.
Darling, Warren G., et al.. (2018). Pointing to One's Moving Hand: Putative Internal Models Do Not Contribute to Proprioceptive Acuity. Frontiers in Human Neuroscience. 12. 177–177. 12 indexed citations
4.
Darling, Warren G., et al.. (2016). A Donders’ Like Law for Arm Movements: The Signal not the Noise. Frontiers in Human Neuroscience. 10. 136–136. 4 indexed citations
5.
Capaday, Charles & Carl van Vreeswijk. (2015). Linear summation of outputs in a balanced network model of motor cortex. Frontiers in Computational Neuroscience. 9. 63–63. 5 indexed citations
6.
Capaday, Charles, Christian Éthier, Carl van Vreeswijk, & Warren G. Darling. (2013). On the functional organization and operational principles of the motor cortex. Frontiers in Neural Circuits. 7. 66–66. 50 indexed citations
7.
Capaday, Charles, et al.. (2013). Pointing to oneself: active versus passive proprioception revisited and implications for internal models of motor system function. Experimental Brain Research. 229(2). 171–180. 22 indexed citations
8.
Éthier, Christian, et al.. (2007). Corticospinal control of antagonistic muscles in the cat. European Journal of Neuroscience. 26(6). 1632–1641. 21 indexed citations
9.
Ung, Roth‐Visal, et al.. (2005). On the Potential Role of the Corticospinal Tract in the Control and Progressive Adaptation of the Soleus H-Reflex During Backward Walking. Journal of Neurophysiology. 94(2). 1133–1142. 22 indexed citations
10.
Capaday, Charles & Douglas D. Rasmusson. (2003). Expansion of receptive fields in motor cortex by local blockade of GABA A receptors. Experimental Brain Research. 153(1). 118–122. 13 indexed citations
11.
Schneider, Cyril, H. Devanne, Brigitte Lavoie, & Charles Capaday. (2002). Neural mechanisms involved in the functional linking of motor cortical points. Experimental Brain Research. 146(1). 86–94. 77 indexed citations
12.
Capaday, Charles. (2002). The special nature of human walking and its neural control. Trends in Neurosciences. 25(7). 370–376. 146 indexed citations
13.
Schneider, Cyril, Daniel Zytnicki, & Charles Capaday. (2001). Quantitative evidence for multiple widespread representations of individual muscles in the cat motor cortex. Neuroscience Letters. 310(2-3). 183–187. 21 indexed citations
14.
Capaday, Charles, et al.. (1998). Intracortical connections between motor cortical zones controlling antagonistic muscles in the cat: a combined anatomical and physiological study. Experimental Brain Research. 120(2). 223–232. 51 indexed citations
15.
Devanne, H., Brigitte Lavoie, & Charles Capaday. (1997). Input-output properties and gain changes in the human corticospinal pathway. Experimental Brain Research. 114(2). 329–338. 665 indexed citations breakdown →
16.
Capaday, Charles. (1997). Neurophysiological methods for studies of the motor system in freely moving human subjects. Journal of Neuroscience Methods. 74(2). 201–218. 174 indexed citations
17.
Capaday, Charles, et al.. (1995). Differential effects of a flexor nerve input on the human soleus H-reflex during standing versus walking. Canadian Journal of Physiology and Pharmacology. 73(4). 436–449. 54 indexed citations
18.
Capaday, Charles. (1995). The effects of baclofen on the stretch reflex parameters of the cat. Experimental Brain Research. 104(2). 287–96. 51 indexed citations
19.
Cody, F.W.J., et al.. (1995). Cortical control of human soleus muscle during volitional and postural activities studied using focal magnetic stimulation. Experimental Brain Research. 103(1). 97–107. 85 indexed citations
20.
Capaday, Charles & R. B. Stein. (1987). A method for simulating the reflex output of a motoneuron pool. Journal of Neuroscience Methods. 21(2-4). 91–104. 120 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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