Guy Hotson

651 total citations
9 papers, 468 citations indexed

About

Guy Hotson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Guy Hotson has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Guy Hotson's work include EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (7 papers) and Muscle activation and electromyography studies (4 papers). Guy Hotson is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (7 papers) and Muscle activation and electromyography studies (4 papers). Guy Hotson collaborates with scholars based in United States, Singapore and Netherlands. Guy Hotson's co-authors include Nitish V. Thakor, Nathan E. Crone, Matthew S. Fifer, William S. Anderson, Brock A. Wester, David P. McMullen, Kapil D. Katyal, Matthew S. Johannes, Matthew P. Para and R. Jacob Vogelstein and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Guy Hotson

9 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Hotson United States 8 362 276 188 83 65 9 468
Xiaokang Shu China 13 418 1.2× 281 1.0× 149 0.8× 104 1.3× 97 1.5× 27 518
Vahid Shalchyan Iran 12 382 1.1× 227 0.8× 151 0.8× 37 0.4× 50 0.8× 42 488
Eric A. Pohlmeyer United States 12 542 1.5× 374 1.4× 226 1.2× 45 0.5× 101 1.6× 25 617
Yalda Shahriari United States 12 333 0.9× 131 0.5× 162 0.9× 38 0.5× 47 0.7× 41 502
Soheil Borhani United States 9 655 1.8× 303 1.1× 97 0.5× 130 1.6× 147 2.3× 13 724
Joris M. Lambrecht United States 9 226 0.6× 175 0.6× 344 1.8× 47 0.6× 34 0.5× 16 449
Attila Korik United Kingdom 8 281 0.8× 120 0.4× 80 0.4× 56 0.7× 33 0.5× 17 376
Mathias Jordan Germany 8 586 1.6× 350 1.3× 153 0.8× 147 1.8× 72 1.1× 10 692
Enzo Mastinu Sweden 16 286 0.8× 399 1.4× 586 3.1× 32 0.4× 25 0.4× 32 699
Kyuhwa Lee Switzerland 10 239 0.7× 147 0.5× 140 0.7× 58 0.7× 35 0.5× 14 382

Countries citing papers authored by Guy Hotson

Since Specialization
Citations

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

Fields of papers citing papers by Guy Hotson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Hotson

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Hotson. A scholar is included among the top collaborators of Guy Hotson 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 Guy Hotson. Guy Hotson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hotson, Guy, et al.. (2016). High Precision Neural Decoding of Complex Movement Trajectories Using Recursive Bayesian Estimation With Dynamic Movement Primitives. IEEE Robotics and Automation Letters. 1(2). 676–683. 19 indexed citations
2.
Hotson, Guy, David P. McMullen, Matthew S. Fifer, et al.. (2016). Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject. Journal of Neural Engineering. 13(2). 26017–26017. 145 indexed citations
3.
Hotson, Guy, Matthew S. Fifer, Soumyadipta Acharya, et al.. (2014). Coarse Electrocorticographic Decoding of Ipsilateral Reach in Patients with Brain Lesions. PLoS ONE. 9(12). e115236–e115236. 25 indexed citations
4.
Thakor, Nitish V., Matthew S. Fifer, Guy Hotson, et al.. (2014). Neuroprosthetic limb control with electrocorticography: Approaches and challenges. PubMed. 2014. 5212–5215. 6 indexed citations
5.
McMullen, David P., Guy Hotson, Kapil D. Katyal, et al.. (2014). Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(4). 784–796. 147 indexed citations
6.
Katyal, Kapil D., Matthew S. Johannes, T. G. McGee, et al.. (2013). HARMONIE: A multimodal control framework for human assistive robotics. 14 indexed citations
7.
Fifer, Matthew S., Guy Hotson, Brock A. Wester, et al.. (2013). Simultaneous Neural Control of Simple Reaching and Grasping With the Modular Prosthetic Limb Using Intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(3). 695–705. 65 indexed citations
8.
9.
Maccabee, P.J., Tayard Desudchit, Victor W. Νitti, et al.. (1996). A new method using neuromagnetic stimulation to measure conduction time within the cauda equina. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control. 101(2). 153–166. 40 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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