Sagi Perel

1.8k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Sagi Perel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sagi Perel has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Sagi Perel's work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (5 papers) and Muscle activation and electromyography studies (4 papers). Sagi Perel is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (5 papers) and Muscle activation and electromyography studies (4 papers). Sagi Perel collaborates with scholars based in United States and United Kingdom. Sagi Perel's co-authors include Andrew B. Schwartz, Andrew Whitford, Meel Velliste, M. Chance Spalding, Aaron P. Batista, Patrick T. Sadtler, Steven M. Chase, Emily R. Oby, Stephen I. Ryu and Elizabeth C. Tyler‐Kabara and has published in prestigious journals such as Nature, Journal of Neurophysiology and Neural Computation.

In The Last Decade

Sagi Perel

9 papers receiving 1.2k citations

Hit Papers

Cortical control of a prosthetic arm for self-feeding 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sagi Perel United States 7 1.1k 905 347 275 81 10 1.3k
Andrew Whitford United States 6 1.3k 1.2× 1.1k 1.2× 423 1.2× 335 1.2× 99 1.2× 8 1.5k
Sean Biggs United Kingdom 5 1.0k 0.9× 784 0.9× 320 0.9× 234 0.9× 67 0.8× 11 1.2k
Alan D. Degenhart United States 13 832 0.8× 612 0.7× 218 0.6× 198 0.7× 58 0.7× 19 929
Gaurav Sharma United States 14 939 0.8× 804 0.9× 453 1.3× 222 0.8× 63 0.8× 31 1.3k
Christine H Blabe United States 12 1.2k 1.1× 927 1.0× 303 0.9× 344 1.3× 120 1.5× 16 1.3k
Dawn M. Taylor United States 14 1.8k 1.6× 1.5k 1.6× 580 1.7× 398 1.4× 115 1.4× 37 2.0k
Peter J. Ifft United States 8 804 0.7× 695 0.8× 260 0.7× 241 0.9× 44 0.5× 9 989
Katie Zhuang United States 8 793 0.7× 704 0.8× 341 1.0× 226 0.8× 48 0.6× 15 1.1k
Brittany L Sorice United States 7 866 0.8× 657 0.7× 195 0.6× 250 0.9× 86 1.1× 7 964
Emad N. Eskandar United States 18 1.3k 1.1× 918 1.0× 229 0.7× 286 1.0× 79 1.0× 31 1.5k

Countries citing papers authored by Sagi Perel

Since Specialization
Citations

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

Fields of papers citing papers by Sagi Perel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagi Perel

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

All Works

10 of 10 papers shown
1.
Misiunas, Karolis, et al.. (2023). Neural architecture search for energy-efficient always-on audio machine learning. Neural Computing and Applications. 35(16). 12133–12144. 13 indexed citations
2.
Li, Ang, Sagi Perel, Valentin Dalibard, et al.. (2019). A Generalized Framework for Population Based Training. 1791–1799. 26 indexed citations
3.
Oby, Emily R., Sagi Perel, Patrick T. Sadtler, et al.. (2016). Extracellular voltage threshold settings can be tuned for optimal encoding of movement and stimulus parameters. Journal of Neural Engineering. 13(3). 36009–36009. 30 indexed citations
4.
Perel, Sagi, Patrick T. Sadtler, Emily R. Oby, et al.. (2015). Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics. Journal of Neurophysiology. 114(3). 1500–1512. 41 indexed citations
5.
Vu, Vincent Q., et al.. (2014). A multivariate Gaussian process factor model for hand shape during reach-to-grasp movements. Statistica Sinica. 25(1). 5–24. 6 indexed citations
6.
Perel, Sagi, Andrew B. Schwartz, & Valérie Ventura. (2014). Automatic scan test for detection of functional connectivity between cortex and muscles. Journal of Neurophysiology. 112(2). 490–499. 2 indexed citations
7.
Perel, Sagi, Andrew B. Schwartz, & Valérie Ventura. (2013). Single-Snippet Analysis for Detection of Postspike Effects. Neural Computation. 26(1). 40–56. 2 indexed citations
8.
Perel, Sagi, Patrick T. Sadtler, Stephen I. Ryu, et al.. (2013). Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements. PubMed. 2010. 299–302. 9 indexed citations
9.
Perel, Sagi. (2012). Dynamic Functional Connectivity Between Cortex and Muscles. D-Scholarship@Pitt (University of Pittsburgh).
10.
Velliste, Meel, Sagi Perel, M. Chance Spalding, Andrew Whitford, & Andrew B. Schwartz. (2008). Cortical control of a prosthetic arm for self-feeding. Nature. 453(7198). 1098–1101. 1121 indexed citations breakdown →

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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