Hyosub E. Kim

1.5k total citations
32 papers, 636 citations indexed

About

Hyosub E. Kim is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Hyosub E. Kim has authored 32 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Biomedical Engineering and 12 papers in Social Psychology. Recurrent topics in Hyosub E. Kim's work include Motor Control and Adaptation (21 papers), Muscle activation and electromyography studies (13 papers) and Action Observation and Synchronization (12 papers). Hyosub E. Kim is often cited by papers focused on Motor Control and Adaptation (21 papers), Muscle activation and electromyography studies (13 papers) and Action Observation and Synchronization (12 papers). Hyosub E. Kim collaborates with scholars based in United States, Canada and South Korea. Hyosub E. Kim's co-authors include Richard B. Ivry, Darius E. Parvin, Jonathan S. Tsay, Guy Avraham, J. Ryan Morehead, Adrian M. Haith, Reza Moazzezi, Darcy S. Reisman, Susanne M. Morton and T. George Hornby and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Hyosub E. Kim

30 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyosub E. Kim United States 14 479 265 225 70 69 32 636
Nicholas Cothros Canada 8 535 1.1× 155 0.6× 426 1.9× 45 0.6× 112 1.6× 15 729
Leia B. Bagesteiro United States 8 668 1.4× 169 0.6× 345 1.5× 35 0.5× 117 1.7× 25 819
Lee D. Walsh Australia 16 415 0.9× 169 0.6× 271 1.2× 51 0.7× 51 0.7× 20 730
Dana Maslovat Canada 18 831 1.7× 190 0.7× 310 1.4× 190 2.7× 78 1.1× 63 991
Firas Mawase Israel 12 331 0.7× 85 0.3× 205 0.9× 94 1.3× 103 1.5× 25 486
Vianney Rozand France 12 238 0.5× 85 0.3× 247 1.1× 77 1.1× 52 0.8× 37 706
Attila J. Kovacs United States 17 636 1.3× 332 1.3× 175 0.8× 25 0.4× 47 0.7× 43 904
Jonathan Shemmell Australia 16 424 0.9× 114 0.4× 358 1.6× 207 3.0× 109 1.6× 41 728
Maarten Steyvers Belgium 12 608 1.3× 219 0.8× 295 1.3× 207 3.0× 71 1.0× 13 839
Elizabeth T. Wilson Canada 10 313 0.7× 143 0.5× 126 0.6× 37 0.5× 54 0.8× 12 393

Countries citing papers authored by Hyosub E. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyosub E. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyosub E. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyosub E. Kim. A scholar is included among the top collaborators of Hyosub E. Kim 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 Hyosub E. Kim. Hyosub E. Kim 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.
Kim, Hyosub E., et al.. (2025). Evidence for an efferent-based prediction contributing to implicit motor adaptation. PLoS ONE. 20(4). e0322627–e0322627.
2.
Tsay, Jonathan S., et al.. (2025). The Detrimental Effect of Stroke on Motor Adaptation. Neurorehabilitation and neural repair. 39(3). 213–225. 1 indexed citations
3.
Kim, Hyosub E., et al.. (2024). Reinforcement Learning during Locomotion. eNeuro. 11(3). ENEURO.0383–23.2024. 4 indexed citations
4.
Tsay, Jonathan S., Hyosub E. Kim, Samuel D. McDougle, et al.. (2024). Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife. 13. 10 indexed citations
5.
Thompson, Elizabeth D., et al.. (2024). Explicit and implicit locomotor learning in individuals with chronic hemiparetic stroke. Journal of Neurophysiology. 132(4). 1172–1182. 2 indexed citations
6.
Kim, Hyosub E.. (2023). bayes-toolbox: A Python package for Bayesianstatistics. The Journal of Open Source Software. 8(90). 5526–5526. 1 indexed citations
7.
Miller, Allison, et al.. (2022). A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke. PLoS ONE. 17(6). e0270105–e0270105. 5 indexed citations
8.
Tsay, Jonathan S., Adrian M. Haith, Richard B. Ivry, & Hyosub E. Kim. (2022). Interactions between sensory prediction error and task error during implicit motor learning. PLoS Computational Biology. 18(3). e1010005–e1010005. 49 indexed citations
9.
Kim, Hyosub E., et al.. (2022). Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior. Journal of Visualized Experiments. 1 indexed citations
10.
Tsay, Jonathan S., Hyosub E. Kim, Adrian M. Haith, & Richard B. Ivry. (2022). Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment. eLife. 11. 52 indexed citations
11.
Tsay, Jonathan S., et al.. (2021). Individual differences in proprioception predict the extent of implicit sensorimotor adaptation. Journal of Neurophysiology. 125(4). 1307–1321. 37 indexed citations
12.
Avraham, Guy, J. Ryan Morehead, Hyosub E. Kim, & Richard B. Ivry. (2021). Reexposure to a sensorimotor perturbation produces opposite effects on explicit and implicit learning processes. PLoS Biology. 19(3). e3001147–e3001147. 48 indexed citations
13.
Kim, Hyosub E., et al.. (2021). Long-Term Motor Learning in the “Wild” With High Volume Video Game Data. Frontiers in Human Neuroscience. 15. 777779–777779. 20 indexed citations
14.
Miller, Allison, et al.. (2021). Beyond Physical Capacity: Factors Associated With Real-world Walking Activity After Stroke. Archives of Physical Medicine and Rehabilitation. 102(10). 1880–1887.e1. 20 indexed citations
15.
Kim, Hyosub E., et al.. (2020). Use-dependent plasticity explains aftereffects in visually guided locomotor learning of a novel step length asymmetry. Journal of Neurophysiology. 124(1). 32–39. 18 indexed citations
16.
Tsay, Jonathan S., et al.. (2020). The effect of visual uncertainty on implicit motor adaptation. Journal of Neurophysiology. 125(1). 12–22. 34 indexed citations
17.
Kim, Hyosub E., Darius E. Parvin, & Richard B. Ivry. (2019). The influence of task outcome on implicit motor learning. eLife. 8. 65 indexed citations
18.
Charalambous, Charalambos C., Margaret A. French, Kathleen S. Matt, et al.. (2018). A single exercise bout and locomotor learning after stroke: physiological, behavioural, and computational outcomes. The Journal of Physiology. 596(10). 1999–2016. 37 indexed citations
19.
Kim, Hyosub E., J. Ryan Morehead, Darius E. Parvin, Reza Moazzezi, & Richard B. Ivry. (2018). Invariant errors reveal limitations in motor correction rather than constraints on error sensitivity. Communications Biology. 1(1). 19–19. 82 indexed citations
20.
Smith, Andrew C., et al.. (2015). Potential associations between chronic whiplash and incomplete spinal cord injury. Spinal Cord Series and Cases. 1(1). 28 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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