Tom Campbell

52 total papers · 559 total citations
32 papers, 433 citations indexed

About

Tom Campbell is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Ocean Engineering. According to data from OpenAlex, Tom Campbell has authored 32 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 5 papers in Ocean Engineering. Recurrent topics in Tom Campbell's work include Neuroscience and Music Perception (15 papers), Hearing Loss and Rehabilitation (12 papers) and Neural dynamics and brain function (6 papers). Tom Campbell is often cited by papers focused on Neuroscience and Music Perception (15 papers), Hearing Loss and Rehabilitation (12 papers) and Neural dynamics and brain function (6 papers). Tom Campbell collaborates with scholars based in Finland, United States and United Kingdom. Tom Campbell's co-authors include Teija Kujala, István Winkler, C. Philip Beaman, Dianne C. Berry, John E. Marsh, Jess R. Kerlin, Lee M. Miller, Christopher W. Bishop, Jun Kong and Risto Näätänen and has published in prestigious journals such as NeuroImage, Trends in Cognitive Sciences and Behavioral and Brain Sciences.

In The Last Decade

Tom Campbell

28 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Tom Campbell	357	109	44	39	37	32	433
Gaëtan Parseihian	343 1.0×	98 0.9×	73 1.7×	61 1.6×	29 0.8×	15	454
Ronny Hannemann	348 1.0×	90 0.8×	61 1.4×	47 1.2×	21 0.6×	39	453
Janet M. Weisenberger	297 0.8×	155 1.4×	34 0.8×	22 0.6×	47 1.3×	37	393
Clara Suied	254 0.7×	153 1.4×	36 0.8×	67 1.7×	92 2.5×	25	400
T. D. Northwood	102 0.3×	36 0.3×	115 2.6×	55 1.4×	47 1.3×	23	368
Iwaki Toshima	145 0.4×	30 0.3×	24 0.5×	80 2.1×	78 2.1×	29	482
Santani Teng	370 1.0×	137 1.3×	12 0.3×	6 0.2×	20 0.5×	19	428
Kim S. Abouchacra	357 1.0×	100 0.9×	173 3.9×	109 2.8×	28 0.8×	23	434
William R. Wiener	250 0.7×	46 0.4×	49 1.1×	6 0.2×	65 1.8×	25	478
Zilong Xie	305 0.9×	135 1.2×	64 1.5×	70 1.8×	17 0.5×	35	396

Countries citing papers authored by Tom Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Tom Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Campbell. A scholar is included among the top collaborators of Tom Campbell 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 Tom Campbell. Tom Campbell 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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