Edwin M. Robertson

7.0k total citations
70 papers, 5.0k citations indexed

About

Edwin M. Robertson is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology. According to data from OpenAlex, Edwin M. Robertson has authored 70 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 12 papers in Neurology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Edwin M. Robertson's work include Sleep and Wakefulness Research (24 papers), Memory and Neural Mechanisms (20 papers) and Neural dynamics and brain function (19 papers). Edwin M. Robertson is often cited by papers focused on Sleep and Wakefulness Research (24 papers), Memory and Neural Mechanisms (20 papers) and Neural dynamics and brain function (19 papers). Edwin M. Robertson collaborates with scholars based in United States, United Kingdom and Canada. Edwin M. Robertson's co-authors include Álvaro Pascual‐Leone, R. Chris Miall, Daniel Z. Press, R. Michael Brown, Neil B. Albert, Daniel Cohen, Hugo Théoret, Fumiko Maeda, Josep M. Tormos and Saber Sami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Edwin M. Robertson

65 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin M. Robertson United States 33 4.2k 1.3k 660 659 595 70 5.0k
Katsuyuki Sakai Japan 35 5.3k 1.3× 1.3k 1.0× 548 0.8× 1.1k 1.6× 518 0.9× 53 6.4k
Eiichi Naito Japan 32 3.5k 0.8× 905 0.7× 482 0.7× 1.4k 2.1× 558 0.9× 102 4.7k
Christian Wienbruch Germany 29 3.4k 0.8× 1.2k 0.9× 489 0.7× 426 0.6× 301 0.5× 52 5.2k
Massimiliano Oliveri Italy 47 4.7k 1.1× 3.0k 2.3× 826 1.3× 747 1.1× 548 0.9× 151 6.7k
Vincent Walsh United Kingdom 39 3.9k 0.9× 1.6k 1.2× 669 1.0× 501 0.8× 258 0.4× 82 4.8k
Driss Boussaoud France 38 5.0k 1.2× 739 0.6× 354 0.5× 1.1k 1.7× 303 0.5× 68 5.7k
Hiroshi Imamizu Japan 35 4.1k 1.0× 1.1k 0.8× 325 0.5× 1.6k 2.5× 417 0.7× 93 5.2k
Peter Praamstra Netherlands 38 4.2k 1.0× 444 0.3× 693 1.1× 515 0.8× 443 0.7× 79 5.1k
Manabu Honda Japan 47 5.3k 1.3× 1.8k 1.4× 1.0k 1.6× 884 1.3× 666 1.1× 147 7.7k
Hugo Théoret Canada 45 3.9k 0.9× 2.5k 1.9× 547 0.8× 863 1.3× 504 0.8× 124 6.7k

Countries citing papers authored by Edwin M. Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Edwin M. Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin M. Robertson. 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 Edwin M. Robertson. The network helps show where Edwin M. Robertson may publish in the future.

Co-authorship network of co-authors of Edwin M. Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin M. Robertson. A scholar is included among the top collaborators of Edwin M. Robertson 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 Edwin M. Robertson. Edwin M. Robertson 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.
Mutanen, Tuomas P., et al.. (2025). Protocol to assess changes in brain network resistance to perturbation during offline processing using TMS-EEG. STAR Protocols. 6(1). 103622–103622. 1 indexed citations
2.
Mograss, Melodee, Arsenio Páez, Mylène Aubertin‐Leheudre, et al.. (2023). Acute evening high-intensity interval training may attenuate the detrimental effects of sleep restriction on long-term declarative memory. SLEEP. 46(7). 1 indexed citations
3.
Dolfen, Nina, et al.. (2023). Prefrontal stimulation as a tool to disrupt hippocampal and striatal reactivations underlying fast motor memory consolidation. Brain stimulation. 16(5). 1336–1345. 5 indexed citations
4.
Iturrate, Iñaki, et al.. (2023). Generalization of procedural motor sequence learning after a single practice trial. npj Science of Learning. 8(1). 45–45. 4 indexed citations
5.
King, Bradley R., Nina Dolfen, Menno P. Veldman, et al.. (2021). Hippocampal and striatal responses during motor learning are modulated by prefrontal cortex stimulation. NeuroImage. 237. 118158–118158. 20 indexed citations
6.
Mutanen, Tuomas P., et al.. (2020). A Common Task Structure Links Together the Fate of Different Types of Memories. Current Biology. 30(11). 2139–2145.e5. 8 indexed citations
7.
Robertson, Edwin M. & Ádám Takács. (2018). Motor sequence learning. Scholarpedia. 13(5). 12319. 1 indexed citations
8.
Gregory, Michael D., Edwin M. Robertson, Dara S. Manoach, & Robert Stickgold. (2015). Thinking About a Task Is Associated with Increased Connectivity in Regions Activated by Task Performance. Brain Connectivity. 6(2). 164–168. 8 indexed citations
9.
Press, Daniel Z., et al.. (2014). A Physiological Signal That Prevents Motor Skill Improvements during Consolidation. Journal of Neuroscience. 34(15). 5302–5310. 70 indexed citations
10.
Brem, Anna‐Katharine, Peter J. Fried, Jared Cooney Horvath, Edwin M. Robertson, & Álvaro Pascual‐Leone. (2013). Is neuroenhancement by noninvasive brain stimulation a net zero-sum proposition?. NeuroImage. 85. 1058–1068. 92 indexed citations
11.
Albouy, Geneviève, et al.. (2012). Daytime sleep specifically enhances consolidation of hippocampal-dependent motor sequence memory: an fMRI study. Journal of Sleep Research. 21. 102–102. 2 indexed citations
12.
Albert, Neil B., Edwin M. Robertson, Puja R. Mehta, & R. Chris Miall. (2009). Resting state networks and memory consolidation. Communicative & Integrative Biology. 2(6). 530–532. 32 indexed citations
13.
Miall, R. Chris & Edwin M. Robertson. (2006). Functional Imaging: Is the Resting Brain Resting?. Current Biology. 16(23). R998–R1000. 76 indexed citations
14.
Cohen, Daniel, Álvaro Pascual‐Leone, Daniel Z. Press, & Edwin M. Robertson. (2005). Off-line learning of motor skill memory: A double dissociation of goal and movement. Proceedings of the National Academy of Sciences. 102(50). 18237–18241. 216 indexed citations
15.
Robertson, Edwin M., Daniel Z. Press, & Álvaro Pascual‐Leone. (2005). Off-Line Learning and the Primary Motor Cortex. Journal of Neuroscience. 25(27). 6372–6378. 196 indexed citations
16.
Robertson, Edwin M.. (2004). Skill Learning: Putting Procedural Consolidation in Context. Current Biology. 14(24). R1061–R1063. 27 indexed citations
17.
Robertson, Edwin M., Álvaro Pascual‐Leone, & Daniel Z. Press. (2004). Awareness Modifies the Skill-Learning Benefits of Sleep. Current Biology. 14(3). 208–212. 343 indexed citations
18.
Robertson, Edwin M., Álvaro Pascual‐Leone, & R. Chris Miall. (2004). Current concepts in procedural consolidation. Nature reviews. Neuroscience. 5(7). 576–582. 391 indexed citations
19.
Robertson, Edwin M., et al.. (2003). Neuronal Activity Related to the Visual Representation of Arm Movements in the Lateral Cerebellar Cortex. Journal of Neurophysiology. 89(3). 1223–1237. 38 indexed citations
20.
Robertson, Edwin M. & Álvaro Pascual‐Leone. (2003). Prefrontal Cortex: Procedural Sequence Learning and Awareness. Current Biology. 13(2). R65–R67. 12 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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