Daniel G. Woolley

1.2k citations
34 papers · 919 · h-index 19

Impact in

    • Motor Control and Adaptation
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Stroke Rehabilitation and Recovery

Papers in

    • Motor Control and Adaptation 13
    • Memory and Neural Mechanisms 8
    • Tactile and Sensory Interactions 7
    • Functional Brain Connectivity Studies 5
    • Muscle activation and electromyography studies 8

Daniel G. Woolley

32 papers receiving 911 citations

Peers

Daniel G. Woolley
Comparison fields: 5 of 81
  • Cognitive Neuroscience 605
  • Rehabilitation 113
  • Neurology 113
  • Physical Therapy, Sports Therapy and Rehabilitation 38
  • Behavioral Neuroscience 29
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Citations per year

Countries citing papers authored by Daniel G. Woolley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Woolley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Woolley. 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 Daniel G. Woolley. The network helps show where Daniel G. Woolley may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel G. Woolley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel G. Woolley Line = papers co-authored together Daniel G. Woolley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 200978
3 201372
4 200651
5 201451
6 201748
7 201748
8 201446
9 202042
10 201435
11 201133
12 201829
13 200728
14 200728
15 200923
16 201023
17 200821
18 201420
19 201618
20 200517

About Daniel G. Woolley

Daniel G. Woolley is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Rehabilitation, Neurology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 919 indexed citations. Recurring topics across this work include Motor Control and Adaptation (13 papers), Muscle activation and electromyography studies (8 papers), Memory and Neural Mechanisms (8 papers), Tactile and Sensory Interactions (7 papers), Stroke Rehabilitation and Recovery (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Transcranial Magnetic Stimulation Studies (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (605 citations), Rehabilitation (113 citations), Neurology (113 citations), Physical Therapy, Sports Therapy and Rehabilitation (38 citations) and Behavioral Neuroscience (29 citations). Daniel G. Woolley has collaborated with scholars based in Switzerland, Belgium and United Kingdom. Frequent co-authors include Nicole Wenderoth, Stephan P. Swinnen, Richard G. Carson, Stephan Riek, Dante Mantini, Toon T. de Beukelaar, Rudi D’Hooge, Kaat Alaerts, Ilse Gantois and Adriana Di Martino. Their work appears in journals such as Experimental Brain Research, Journal of Neuroscience, PLoS ONE, Human Brain Mapping and Journal of Neurophysiology.

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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