R. Cotton

3.4k total citations
38 papers, 981 citations indexed

About

R. Cotton is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, R. Cotton has authored 38 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Biomedical Engineering and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in R. Cotton's work include Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (7 papers) and Stroke Rehabilitation and Recovery (6 papers). R. Cotton is often cited by papers focused on Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (7 papers) and Stroke Rehabilitation and Recovery (6 papers). R. Cotton collaborates with scholars based in United States, Germany and United Kingdom. R. Cotton's co-authors include Andreas S. Tolias, Alexander S. Ecker, Philipp Berens, Matthias Bethge, Wei Ji, Emmanouil Froudarakis, Manivannan Subramaniyan, Dimitri Yatsenko, Cathryn R. Cadwell and George H. Denfield and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

R. Cotton

35 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Cotton United States 13 628 365 100 89 74 38 981
Saurabh Vyas United States 12 658 1.0× 263 0.7× 59 0.6× 123 1.4× 95 1.3× 28 974
Pierre Yger France 16 650 1.0× 470 1.3× 92 0.9× 64 0.7× 203 2.7× 39 1.1k
Roland E. Suri Switzerland 12 611 1.0× 336 0.9× 153 1.5× 99 1.1× 87 1.2× 25 882
Dirk Jancke Germany 18 817 1.3× 426 1.2× 130 1.3× 27 0.3× 36 0.5× 36 1.0k
Irina Erchova United Kingdom 13 564 0.9× 489 1.3× 103 1.0× 80 0.9× 82 1.1× 24 853
Aniruddha Das United States 17 1.9k 3.1× 703 1.9× 239 2.4× 50 0.6× 72 1.0× 28 2.2k
Eric M. Trautmann United States 11 712 1.1× 359 1.0× 41 0.4× 109 1.2× 149 2.0× 19 879
Adrián Ponce‐Alvarez Spain 21 1.7k 2.8× 375 1.0× 85 0.8× 35 0.4× 88 1.2× 37 1.9k
Samuel A. Neymotin United States 23 1.0k 1.7× 708 1.9× 118 1.2× 35 0.4× 227 3.1× 60 1.3k
Scott L. Brincat United States 20 1.8k 2.8× 521 1.4× 81 0.8× 21 0.2× 95 1.3× 40 2.0k

Countries citing papers authored by R. Cotton

Since Specialization
Citations

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

Fields of papers citing papers by R. Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Cotton

This figure shows the co-authorship network connecting the top 25 collaborators of R. Cotton. A scholar is included among the top collaborators of R. Cotton 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 R. Cotton. R. Cotton 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.
Du, E, Jeremiah J. Peiffer, Thomas Weikert, Chris Awai Easthope, & R. Cotton. (2025). Usability of iGait@Healthcore: Gait analysis from a smartphone for use in clinical routine. Gait & Posture. 121. 65–66.
2.
Ullrich, Johannes, et al.. (2025). Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison With Optical Motion Capture. IEEE Transactions on Medical Robotics and Bionics. 8(1). 90–97. 1 indexed citations
3.
Yeh, Hsiang J., Brandon M. Brown, Mohammad Tabaeizadeh, et al.. (2025). Video‐based detection of tonic–clonic seizures using a three‐dimensional convolutional neural network. Epilepsia. 66(7). 2495–2506.
4.
Cotton, R., Etienne Burdet, Sergi Bermúdez i Badia, et al.. (2025). Collaborative AI for precision neurorehabilitation: a roadmap. Journal of NeuroEngineering and Rehabilitation. 22(1). 269–269. 1 indexed citations
5.
Murray, Wendy M., et al.. (2024). Biomechanical Arm and Hand Tracking with Multiview Markerless Motion Capture. 1641–1648. 2 indexed citations
6.
Embry, Kyle, et al.. (2024). Detecting the symptoms of Parkinson’s disease with non-standard video. Journal of NeuroEngineering and Rehabilitation. 21(1). 72–72. 4 indexed citations
7.
Brown, Brandon M., et al.. (2024). Computer vision for automated seizure detection and classification: A systematic review. Epilepsia. 65(5). 1176–1202. 4 indexed citations
8.
9.
Simon, Ann M., et al.. (2023). Powered knee and ankle prosthesis use with a K2 level ambulator: a case report. SHILAP Revista de lepidopterología. 4. 1203545–1203545. 1 indexed citations
10.
Franz, Colin K., Nikhil K. Murthy, Jean Won Kwak, et al.. (2022). The distribution of acquired peripheral nerve injuries associated with severe COVID-19 implicate a mechanism of entrapment neuropathy: a multicenter case series and clinical feasibility study of a wearable, wireless pressure sensor. Journal of NeuroEngineering and Rehabilitation. 19(1). 108–108. 11 indexed citations
11.
Walker, Edgar Y., et al.. (2021). Revealing nonlinear neural decoding by analyzing choices. Nature Communications. 12(1). 6557–6557. 9 indexed citations
12.
Cadwell, Cathryn R., Federico Scala, Paul G. Fahey, et al.. (2020). Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex. eLife. 9. 32 indexed citations
13.
Moreaux, Laurent, Dimitri Yatsenko, Wesley D. Sacher, et al.. (2020). Integrated Neurophotonics: Toward Dense Volumetric Interrogation of Brain Circuit Activity—at Depth and in Real Time. Neuron. 108(1). 66–92. 39 indexed citations
14.
Walker, Edgar Y., R. Cotton, Wei Ji, & Andreas S. Tolias. (2019). A neural basis of probabilistic computation in visual cortex. Nature Neuroscience. 23(1). 122–129. 63 indexed citations
15.
Subramaniyan, Manivannan, Alexander S. Ecker, Saumil S. Patel, et al.. (2018). Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology. 120(5). 2430–2452. 25 indexed citations
16.
Reddy, Gaddum Duemani, R. Cotton, Andreas S. Tolias, & Peter Saggau. (2015). Random-Access Multiphoton Microscopy for Fast Three-Dimensional Imaging. Advances in experimental medicine and biology. 859. 455–472. 5 indexed citations
17.
Yatsenko, Dimitri, Krešimir Josić́, Alexander S. Ecker, et al.. (2015). Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Computational Biology. 11(3). e1004083–e1004083. 66 indexed citations
18.
Froudarakis, Emmanouil, Philipp Berens, Alexander S. Ecker, et al.. (2014). Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience. 17(6). 851–857. 113 indexed citations
19.
Cotton, R., et al.. (2013). Three-dimensional mapping of microcircuit correlation structure. Frontiers in Neural Circuits. 7. 151–151. 43 indexed citations
20.
Berens, Philipp, Alexander S. Ecker, R. Cotton, et al.. (2012). A Fast and Simple Population Code for Orientation in Primate V1. Journal of Neuroscience. 32(31). 10618–10626. 79 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Saurabh Vyas Breakdown of academic impact, for papers by Pierre Yger Breakdown of academic impact, for papers by Roland E. Suri Breakdown of academic impact, for papers by Dirk Jancke Breakdown of academic impact, for papers by Irina Erchova Breakdown of academic impact, for papers by Aniruddha Das Breakdown of academic impact, for papers by Eric M. Trautmann Breakdown of academic impact, for papers by Adrián Ponce‐Alvarez Breakdown of academic impact, for papers by Samuel A. Neymotin Breakdown of academic impact, for papers by Scott L. Brincat
Rankless by CCL
2026