Roy Mukamel

6.7k total citations · 2 hit papers
51 papers, 4.2k citations indexed

About

Roy Mukamel is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Roy Mukamel has authored 51 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 19 papers in Social Psychology and 6 papers in Developmental and Educational Psychology. Recurrent topics in Roy Mukamel's work include Neural dynamics and brain function (24 papers), Action Observation and Synchronization (19 papers) and Motor Control and Adaptation (17 papers). Roy Mukamel is often cited by papers focused on Neural dynamics and brain function (24 papers), Action Observation and Synchronization (19 papers) and Motor Control and Adaptation (17 papers). Roy Mukamel collaborates with scholars based in Israel, United States and United Kingdom. Roy Mukamel's co-authors include Itzhak Fried, Rafael Malach, Amos Arieli, Hagar Gelbard-Sagiv, Marco Iacoboni, Arne D. Ekstrom, Jonas Kaplan, Uri Hasson, Harris A. Gelbard and Michal Harel and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Roy Mukamel

48 papers receiving 4.1k citations

Hit Papers

Single-Neuron Responses in Humans during Execution and Ob... 2005 2026 2012 2019 2010 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Mukamel Israel 21 3.7k 920 876 347 311 51 4.2k
Steven W. Kennerley United Kingdom 32 4.7k 1.3× 946 1.0× 708 0.8× 514 1.5× 152 0.5× 42 5.4k
Stewart Shipp United Kingdom 28 5.3k 1.5× 954 1.0× 666 0.8× 498 1.4× 385 1.2× 41 6.0k
Kae Nakamura Japan 23 3.2k 0.9× 1.2k 1.3× 665 0.8× 294 0.8× 112 0.4× 44 4.1k
Josep Marco‐Pallarés Spain 40 3.7k 1.0× 451 0.5× 996 1.1× 727 2.1× 164 0.5× 102 4.8k
Hanneke E.M. den Ouden Netherlands 33 3.3k 0.9× 691 0.8× 550 0.6× 967 2.8× 398 1.3× 62 4.5k
Driss Boussaoud France 38 5.0k 1.4× 703 0.8× 1.1k 1.3× 354 1.0× 300 1.0× 68 5.7k
Anthony M. Norcia United States 47 5.9k 1.6× 841 0.9× 432 0.5× 614 1.8× 549 1.8× 208 7.2k
Peter Klaver Germany 33 3.3k 0.9× 732 0.8× 507 0.6× 530 1.5× 326 1.0× 67 4.5k
Peter Zeidman United Kingdom 31 3.1k 0.8× 571 0.6× 316 0.4× 690 2.0× 543 1.7× 74 4.0k
Jill X. O’Reilly United Kingdom 25 3.9k 1.1× 513 0.6× 785 0.9× 801 2.3× 670 2.2× 44 5.0k

Countries citing papers authored by Roy Mukamel

Since Specialization
Citations

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

Fields of papers citing papers by Roy Mukamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Mukamel

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Mukamel. A scholar is included among the top collaborators of Roy Mukamel 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 Roy Mukamel. Roy Mukamel 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.
Mukamel, Roy, et al.. (2023). The power of multivariate approach in identifying EEG correlates of interlimb coupling. Frontiers in Human Neuroscience. 17. 1256497–1256497. 1 indexed citations
2.
Mudrik, Liad, et al.. (2021). Same action, different meaning: neural substrates of action semantic meaning. Cerebral Cortex. 32(19). 4293–4303. 6 indexed citations
3.
Ossmy, Ori, et al.. (2021). Real-time processes in the development of action planning. Current Biology. 32(1). 190–199.e3. 10 indexed citations
4.
Reznik, Daniel, et al.. (2020). Voluntary Actions Modulate Perception and Neural Representation of Action-Consequences in a Hand-Dependent Manner. Cerebral Cortex. 30(12). 6097–6107. 11 indexed citations
5.
Ossmy, Ori, Silvi Frenkel‐Toledo, Eugene Kagan, et al.. (2020). Motor learning in hemi-Parkinson using VR-manipulated sensory feedback. Disability and Rehabilitation Assistive Technology. 17(3). 349–361. 6 indexed citations
6.
Lakretz, Yair, Ori Ossmy, Naama Friedmann, Roy Mukamel, & Itzhak Fried. (2020). Single-cell activity in human STG during perception of phonemes is organized according to manner of articulation. NeuroImage. 226. 117499–117499. 11 indexed citations
7.
Ossmy, Ori & Roy Mukamel. (2018). Perception as a Route for Motor Skill Learning: Perspectives from Neuroscience. Neuroscience. 382. 144–153. 15 indexed citations
8.
Ossmy, Ori, et al.. (2018). Suppression of EEG mu rhythm during action observation corresponds with subsequent changes in behavior. Brain Research. 1691. 55–63. 15 indexed citations
9.
Ossmy, Ori & Roy Mukamel. (2017). Short Term Motor-Skill Acquisition Improves with Size of Self-Controlled Virtual Hands. PLoS ONE. 12(1). e0168520–e0168520. 11 indexed citations
10.
Ossmy, Ori & Roy Mukamel. (2017). Behavioral and neural effects of congruency of visual feedback during short-term motor learning. NeuroImage. 172. 864–873. 6 indexed citations
11.
Rosenblatt, Jonathan, et al.. (2016). What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level. NeuroImage. 146. 113–120. 20 indexed citations
12.
Ossmy, Ori, Itzhak Fried, & Roy Mukamel. (2015). Decoding speech perception from single cell activity in humans. NeuroImage. 117. 151–159. 16 indexed citations
13.
Ossmy, Ori, Michal Ben‐Shachar, & Roy Mukamel. (2014). Decoding letter position in word reading. Cortex. 59. 74–83. 15 indexed citations
14.
Suthana, Nanthia, Zulfi Haneef, John M. Stern, et al.. (2012). Memory Enhancement and Deep-Brain Stimulation of the Entorhinal Area. New England Journal of Medicine. 366(6). 502–510. 309 indexed citations
15.
Fried, Itzhak, Roy Mukamel, & Gabriel Kreiman. (2011). Internally Generated Preactivation of Single Neurons in Human Medial Frontal Cortex Predicts Volition. Neuron. 69(3). 548–562. 279 indexed citations
16.
Mukamel, Roy, Yuval Nir, Michal Harel, et al.. (2010). Invariance of firing rate and field potential dynamics to stimulus modulation rate in human auditory cortex. Human Brain Mapping. 32(8). 1181–1193. 20 indexed citations
17.
Gelbard-Sagiv, Hagar, Roy Mukamel, Michal Harel, Rafael Malach, & Itzhak Fried. (2008). Internally Generated Reactivation of Single Neurons in Human Hippocampus During Free Recall. Science. 322(5898). 96–101. 334 indexed citations
18.
Privman, Eran, Yuval Nir, Uri Kramer, et al.. (2007). Enhanced Category Tuning Revealed by Intracranial Electroencephalograms in High-Order Human Visual Areas. Journal of Neuroscience. 27(23). 6234–6242. 55 indexed citations
19.
Mukamel, Roy, Harris A. Gelbard, Amos Arieli, et al.. (2005). Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex. Science. 309(5736). 951–954. 725 indexed citations breakdown →
20.
Mukamel, Roy. (2004). Enhanced Temporal Non-linearities in Human Object-related Occipito-temporal Cortex. Cerebral Cortex. 14(5). 575–585. 32 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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