Gavin P. Lawrence

1.5k total citations
54 papers, 1.0k citations indexed

About

Gavin P. Lawrence is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Biomedical Engineering. According to data from OpenAlex, Gavin P. Lawrence has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 24 papers in Developmental and Educational Psychology and 11 papers in Biomedical Engineering. Recurrent topics in Gavin P. Lawrence's work include Motor Control and Adaptation (28 papers), Sport Psychology and Performance (22 papers) and Muscle activation and electromyography studies (11 papers). Gavin P. Lawrence is often cited by papers focused on Motor Control and Adaptation (28 papers), Sport Psychology and Performance (22 papers) and Muscle activation and electromyography studies (11 papers). Gavin P. Lawrence collaborates with scholars based in United Kingdom, Canada and Serbia. Gavin P. Lawrence's co-authors include Michael A. Khan, Ian M. Franks, Helen Cabot Miles, Nigel W. John, Simon J. Watt, Serban R. Pop, Lew Hardy, Digby Elliott, Pierre‐Michel Bernier and Daniel J. Weeks and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Gavin P. Lawrence

51 papers receiving 975 citations

Peers

Gavin P. Lawrence
Comparison fields: 5 of 87
  • Cognitive Neuroscience 503
  • Developmental and Educational Psychology 456
  • Social Psychology 244
  • Orthopedics and Sports Medicine 231
  • Human-Computer Interaction 138
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Citations per field, relative to Gavin P. Lawrence
Gavin P. Lawrence · 1×
Citations per year, relative to Gavin P. Lawrence
Gavin P. Lawrence · 1×

Countries citing papers authored by Gavin P. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Gavin P. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin P. Lawrence. 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 Gavin P. Lawrence. The network helps show where Gavin P. Lawrence may publish in the future.

Co-authorship network of co-authors of Gavin P. Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin P. Lawrence. A scholar is included among the top collaborators of Gavin P. Lawrence 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 Gavin P. Lawrence. Gavin P. Lawrence 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
# Work Indexed citations
1 3
2 0
3 1
4 2
5 1
6
Initial steps in the validation of the athlete development formulation survey
1
7 6
8 6
9 3
10 1
11 3
12 3
13 27
14 34
15 8
16 22
17 13
18 4
19 7
20 18

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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