Robert A. Scheidt

3.7k total citations
78 papers, 2.6k citations indexed

About

Robert A. Scheidt is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Robert A. Scheidt has authored 78 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cognitive Neuroscience, 39 papers in Biomedical Engineering and 20 papers in Rehabilitation. Recurrent topics in Robert A. Scheidt's work include Motor Control and Adaptation (57 papers), Muscle activation and electromyography studies (37 papers) and Tactile and Sensory Interactions (29 papers). Robert A. Scheidt is often cited by papers focused on Motor Control and Adaptation (57 papers), Muscle activation and electromyography studies (37 papers) and Tactile and Sensory Interactions (29 papers). Robert A. Scheidt collaborates with scholars based in United States, Italy and France. Robert A. Scheidt's co-authors include Ferdinando A. Mussa-Ivaldi, Jonathan B. Dingwell, Michael A. Conditt, Claude Ghez, William Z. Rymer, Kristine M. Mosier, David J. Reinkensmeyer, D.J. Reinkensmeyer, Brian D. Schmit and James L. Patton and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Robert A. Scheidt

74 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Scheidt United States 25 2.1k 1.3k 590 537 372 78 2.6k
Rieko Osu Japan 25 2.9k 1.4× 2.4k 1.8× 807 1.4× 524 1.0× 622 1.7× 67 4.0k
Natalia Dounskaia United States 27 1.7k 0.8× 991 0.8× 561 1.0× 174 0.3× 338 0.9× 55 2.0k
Kelly J. Cole United States 30 2.6k 1.3× 1.7k 1.3× 749 1.3× 243 0.5× 286 0.8× 56 3.5k
Eugene Tunik United States 28 1.8k 0.9× 469 0.4× 752 1.3× 684 1.3× 164 0.4× 78 2.8k
Paul Cordo United States 30 1.7k 0.8× 1.1k 0.9× 476 0.8× 341 0.6× 1.2k 3.3× 59 3.7k
Gelsy Torres‐Oviedo United States 18 1.3k 0.7× 1.4k 1.0× 210 0.4× 313 0.6× 954 2.6× 31 2.1k
Evangelos A. Christou United States 34 2.0k 1.0× 2.3k 1.7× 213 0.4× 400 0.7× 922 2.5× 119 3.7k
Warren G. Darling United States 32 1.4k 0.7× 966 0.7× 231 0.4× 246 0.5× 214 0.6× 99 2.9k
Vincent Huang United States 17 791 0.4× 593 0.4× 322 0.5× 565 1.1× 140 0.4× 26 1.5k
Germana Cappellini Italy 26 1.2k 0.6× 2.0k 1.5× 221 0.4× 297 0.6× 1.0k 2.8× 46 3.0k

Countries citing papers authored by Robert A. Scheidt

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Scheidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Scheidt. 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 Robert A. Scheidt. The network helps show where Robert A. Scheidt may publish in the future.

Co-authorship network of co-authors of Robert A. Scheidt

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Scheidt. A scholar is included among the top collaborators of Robert A. Scheidt 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 Robert A. Scheidt. Robert A. Scheidt 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
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Przybyla, Andrzej, et al.. (2024). Symmetry and synchrony of bimanual movements are not predicated on interlimb control coupling. Journal of Neurophysiology. 131(6). 982–996.
3.
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McGuire, John R., et al.. (2023). Spatial mapping of posture-dependent resistance to passive displacement of the hypertonic arm post-stroke. Journal of NeuroEngineering and Rehabilitation. 20(1). 163–163. 3 indexed citations
5.
Mrotek, Leigh A., et al.. (2022). Extended training improves the accuracy and efficiency of goal-directed reaching guided by supplemental kinesthetic vibrotactile feedback. Experimental Brain Research. 241(2). 479–493. 4 indexed citations
6.
Mrotek, Leigh A., et al.. (2019). Supplemental vibrotactile feedback of real-time limb position enhances precision of goal-directed reaching. Journal of Neurophysiology. 122(1). 22–38. 20 indexed citations
7.
Schiavi, Simona, Giulia Bommarito, Giacomo Boffa, et al.. (2019). A two alternative forced choice method for assessing vibrotactile discrimination thresholds in the lower limb. Somatosensory & Motor Research. 36(2). 162–170. 4 indexed citations
8.
Casadio, Maura, et al.. (2019). Spatial and temporal influences on discrimination of vibrotactile stimuli on the arm. Experimental Brain Research. 237(8). 2075–2086. 24 indexed citations
9.
Mrotek, Leigh A., et al.. (2018). Effect of Dual Tasking on Vibrotactile Feedback Guided Reaching – A Pilot Study. Lecture notes in computer science. 10893. 3–14. 11 indexed citations
10.
Mrotek, Leigh A., et al.. (2017). The Arm Movement Detection (AMD) test: a fast robotic test of proprioceptive acuity in the arm. Journal of NeuroEngineering and Rehabilitation. 14(1). 64–64. 9 indexed citations
11.
Ranganathan, Rajiv & Robert A. Scheidt. (2016). Organizing and Reorganizing Coordination Patterns. Advances in experimental medicine and biology. 957. 327–349. 12 indexed citations
12.
Simó, Lucia S., et al.. (2014). A robotic test of proprioception within the hemiparetic arm post-stroke. Journal of NeuroEngineering and Rehabilitation. 11(1). 77–77. 35 indexed citations
13.
Dolan, Bridget, et al.. (2014). Simultaneous Robotic Manipulation and Functional Magnetic Resonance Imaging: Feasibility in Children with Autism Spectrum Disorders. e-Publications@Marquette (Marquette University). 3 indexed citations
14.
Patton, James L., et al.. (2013). Visuomotor Learning Enhanced by Augmenting Instantaneous Trajectory Error Feedback during Reaching. PLoS ONE. 8(1). e46466–e46466. 59 indexed citations
15.
Karst, Jeffrey, et al.. (2012). Brief Report: Visuo-spatial Guidance of Movement during Gesture Imitation and Mirror Drawing in Children with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders. 43(4). 985–995. 28 indexed citations
16.
Simó, Lucia S., et al.. (2011). A quantitative and standardized robotic method for the evaluation of arm proprioception after stroke. PubMed. 2011. 8227–30. 18 indexed citations
17.
Zimbelman, Janice L., Aaron J. Suminski, Stephen M. Rao, & Robert A. Scheidt. (2007). Predicting the Future: Neural Correlates of Internal Models. NeuroImage. 1 indexed citations
18.
Scheidt, Robert A., et al.. (2007). Reach Adaptation and Final Position Control Amid Environmental Uncertainty After Stroke. Journal of Neurophysiology. 97(4). 2824–2836. 79 indexed citations
19.
Scheidt, Robert A. & Claude Ghez. (2007). Separate Adaptive Mechanisms for Controlling Trajectory and Final Position in Reaching. Journal of Neurophysiology. 98(6). 3600–3613. 121 indexed citations
20.
Scheidt, Robert A. & Andrew Kertesz. (1993). Temporal and spatial aspects of sensory interactions during human fusional response. Vision Research. 33(9). 1259–1270. 1 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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