G.W. Thickbroom

29 total papers · 1.2k total citations
17 papers, 896 citations indexed

About

G.W. Thickbroom is a scholar working on Neurology, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, G.W. Thickbroom has authored 17 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 12 papers in Cognitive Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in G.W. Thickbroom's work include Transcranial Magnetic Stimulation Studies (14 papers), Muscle activation and electromyography studies (11 papers) and Motor Control and Adaptation (8 papers). G.W. Thickbroom is often cited by papers focused on Transcranial Magnetic Stimulation Studies (14 papers), Muscle activation and electromyography studies (11 papers) and Motor Control and Adaptation (8 papers). G.W. Thickbroom collaborates with scholars based in Australia, United States and Spain. G.W. Thickbroom's co-authors include Francis Mastaglia, Frank Mastaglia, Stephen Wilson, Paul Sacco, Wei‐Peng Teo, João Paulo C. Rodrigues, Bev Phillips, Michelle L. Thompson, Michelle L. Byrnes and Rick Stell and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Neuroscience.

In The Last Decade

G.W. Thickbroom

17 papers receiving 882 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G.W. Thickbroom	644	519	400	117	97	17	896
Diane L. Rotella	298 0.5×	553 1.1×	337 0.8×	81 0.7×	130 1.3×	27	906
Mickaël Camus	606 0.9×	614 1.2×	268 0.7×	98 0.8×	57 0.6×	19	1.0k
Thompson Pd	465 0.7×	306 0.6×	289 0.7×	40 0.3×	118 1.2×	18	856
George M. Opie	698 1.1×	526 1.0×	334 0.8×	101 0.9×	60 0.6×	50	860
Toshiki Tazoe	458 0.7×	460 0.9×	417 1.0×	98 0.8×	56 0.6×	36	843
Katlyn E. Brown	436 0.7×	362 0.7×	164 0.4×	167 1.4×	112 1.2×	36	754
Recep A. Ozdemir	363 0.6×	504 1.0×	216 0.5×	91 0.8×	66 0.7×	37	992
Gianpiero Liuzzi	412 0.6×	488 0.9×	135 0.3×	99 0.8×	84 0.9×	18	746
Richard Greenwood	575 0.9×	307 0.6×	181 0.5×	185 1.6×	147 1.5×	12	860
Marc A. Pizzimenti	295 0.5×	278 0.5×	253 0.6×	86 0.7×	87 0.9×	36	827

Countries citing papers authored by G.W. Thickbroom

Since Specialization

Citations

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

Fields of papers citing papers by G.W. Thickbroom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.W. Thickbroom

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

All Works

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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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