Brian D. Corneil

5.0k total citations
86 papers, 2.8k citations indexed

About

Brian D. Corneil is a scholar working on Cognitive Neuroscience, Neurology and Biomedical Engineering. According to data from OpenAlex, Brian D. Corneil has authored 86 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cognitive Neuroscience, 33 papers in Neurology and 17 papers in Biomedical Engineering. Recurrent topics in Brian D. Corneil's work include Visual perception and processing mechanisms (34 papers), Motor Control and Adaptation (31 papers) and Vestibular and auditory disorders (29 papers). Brian D. Corneil is often cited by papers focused on Visual perception and processing mechanisms (34 papers), Motor Control and Adaptation (31 papers) and Vestibular and auditory disorders (29 papers). Brian D. Corneil collaborates with scholars based in Canada, United States and Netherlands. Brian D. Corneil's co-authors include Douglas P. Munoz, Etienne Olivier, Richard A. Andersen, Sam Musallam, Hansjörg Scherberger, Bradley Greger, Chao Gu, F.J.R. Richmond, Sharon L. Cushing and Marc M. van Wanrooij and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Brian D. Corneil

84 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian D. Corneil Canada 28 2.3k 556 544 474 393 86 2.8k
Sabrina Pitzalis Italy 34 4.3k 1.9× 456 0.8× 260 0.5× 549 1.2× 152 0.4× 82 4.8k
Suliann Ben Hamed France 31 2.9k 1.3× 378 0.7× 306 0.6× 708 1.5× 280 0.7× 81 3.4k
Peter Praamstra Netherlands 38 4.2k 1.9× 444 0.8× 515 0.9× 693 1.5× 108 0.3× 79 5.1k
Maarten A. Frens Netherlands 31 1.8k 0.8× 1.1k 2.0× 433 0.8× 485 1.0× 459 1.2× 115 3.5k
Driss Boussaoud France 38 5.0k 2.2× 739 1.3× 703 1.3× 354 0.7× 155 0.4× 68 5.7k
James W. Bisley United States 34 3.9k 1.7× 137 0.2× 369 0.7× 256 0.5× 298 0.8× 72 4.6k
John S. Butler Ireland 29 1.8k 0.8× 262 0.5× 193 0.4× 817 1.7× 407 1.0× 83 2.7k
Satoru Miyauchi Japan 29 3.5k 1.5× 790 1.4× 256 0.5× 444 0.9× 102 0.3× 77 4.1k
Tamar R. Makin United Kingdom 31 2.1k 0.9× 643 1.2× 385 0.7× 305 0.6× 76 0.2× 74 3.4k
Adrian G. Guggisberg Switzerland 36 2.6k 1.2× 644 1.2× 483 0.9× 223 0.5× 38 0.1× 87 3.7k

Countries citing papers authored by Brian D. Corneil

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Corneil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Corneil. 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 Brian D. Corneil. The network helps show where Brian D. Corneil may publish in the future.

Co-authorship network of co-authors of Brian D. Corneil

This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Corneil. A scholar is included among the top collaborators of Brian D. Corneil 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 Brian D. Corneil. Brian D. Corneil 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.
Weerdesteyn, Vivian, et al.. (2025). Age-related attenuation of the fast visuomotor network during rapid goal-directed reaching. Neuroscience. 592. 1–10.
2.
Goodale, Melvyn A., et al.. (2024). Rapid integration of face detection and task set in visually guided reaching. European Journal of Neuroscience. 60(6). 5328–5347. 1 indexed citations
3.
Lehmann, Sebastian, Adam Williamson, Esra Neufeld, et al.. (2023). Establishing the non-human primate as an animal model for temporal interference stimulation. I. Simulations of electric fields. Brain stimulation. 16(1). 365–365. 1 indexed citations
4.
Cecala, Aaron L., et al.. (2022). Express arm responses appear bilaterally on upper-limb muscles in an arm choice reaching task. Journal of Neurophysiology. 127(4). 969–983. 8 indexed citations
5.
Loeb, Gerald E., et al.. (2022). Symbolic cues enhance express visuomotor responses in human arm muscles at the motor planning rather than the visuospatial processing stage. Journal of Neurophysiology. 128(3). 494–510. 9 indexed citations
6.
Corneil, Brian D., et al.. (2021). High-contrast, moving targets in an emerging target paradigm promote fast visuomotor responses during visually guided reaching. Journal of Neurophysiology. 126(1). 68–81. 18 indexed citations
7.
Loeb, Gerald E., et al.. (2021). Trial-by-trial modulation of express visuomotor responses induced by symbolic or barely detectable cues. Journal of Neurophysiology. 126(5). 1507–1523. 12 indexed citations
8.
Dash, Suryadeep, et al.. (2020). Impairment but not abolishment of express saccades after unilateral or bilateral inactivation of the frontal eye fields. Journal of Neurophysiology. 123(5). 1907–1919. 9 indexed citations
9.
Loeb, Gerald E., et al.. (2020). The influence of temporal predictability on express visuomotor responses. Journal of Neurophysiology. 125(3). 731–747. 19 indexed citations
10.
Gu, Chao, et al.. (2019). Stimulus-Locked Responses on Human Upper Limb Muscles and Corrective Reaches Are Preferentially Evoked by Low Spatial Frequencies. eNeuro. 6(5). ENEURO.0301–19.2019. 22 indexed citations
11.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2018). A rapid visuomotor response on the human upper limb is selectively influenced by implicit motor learning. Journal of Neurophysiology. 121(1). 85–95. 16 indexed citations
12.
Gu, Chao, et al.. (2018). Active Braking of Whole-Arm Reaching Movements Provides Single-Trial Neuromuscular Measures of Movement Cancellation. Journal of Neuroscience. 38(18). 4367–4382. 28 indexed citations
13.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2017). Done in 100 ms: path-dependent visuomotor transformation in the human upper limb. Journal of Neurophysiology. 119(4). 1319–1328. 18 indexed citations
14.
Hafed, Ziad M., et al.. (2016). A Causal Role for the Cortical Frontal Eye Fields in Microsaccade Deployment. PLoS Biology. 14(8). e1002531–e1002531. 51 indexed citations
15.
Wood, Daniel K., Chao Gu, Brian D. Corneil, Paul L. Gribble, & Melvyn A. Goodale. (2015). Transient visual responses reset the phase of low‐frequency oscillations in the skeletomotor periphery. European Journal of Neuroscience. 42(3). 1919–1932. 36 indexed citations
16.
17.
Corneil, Brian D. & Douglas P. Munoz. (2014). Overt Responses during Covert Orienting. Neuron. 82(6). 1230–1243. 127 indexed citations
18.
Corneil, Brian D., et al.. (2010). Neuromuscular recruitment related to stimulus presentation and task instruction during the anti-saccade task. European Journal of Neuroscience. 33(2). 349–360. 15 indexed citations
19.
Corneil, Brian D., et al.. (2008). Properties of human eye-head gaze shifts in an anti-gaze shift task. Vision Research. 48(4). 538–548. 3 indexed citations
20.
Corneil, Brian D., Etienne Olivier, & Douglas P. Munoz. (2004). Visual Responses on Neck Muscles Reveal Selective Gating that Prevents Express Saccades. Neuron. 42(5). 831–841. 102 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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