Denis McKeown

29 total papers · 1.1k total citations
21 papers, 539 citations indexed

About

Denis McKeown is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Denis McKeown has authored 21 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in Denis McKeown's work include Neuroscience and Music Perception (7 papers), Hearing Loss and Rehabilitation (6 papers) and Neural dynamics and brain function (5 papers). Denis McKeown is often cited by papers focused on Neuroscience and Music Perception (7 papers), Hearing Loss and Rehabilitation (6 papers) and Neural dynamics and brain function (5 papers). Denis McKeown collaborates with scholars based in United Kingdom, United States and Sweden. Denis McKeown's co-authors include Tom Mercer, Jefferey Shufelt, Sarah Isherwood, H R Kirby, Sarah Bauermeister, Ken Catchpole, Mark Dougherty, David Bunce, Howard R. Kirby and David Wellsted and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Experimental Psychology Human Perception & Performance and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Denis McKeown

21 papers receiving 491 citations

Author Peers

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

Author Last Decade Papers Cites
Denis McKeown 195 109 81 63 62 21 539
Günther Sagl 43 0.2× 37 0.3× 65 0.8× 26 0.4× 47 0.8× 15 514
Hongquan Qu 77 0.4× 43 0.4× 26 0.3× 26 0.4× 91 1.5× 75 548
Chaojie Fan 108 0.6× 163 1.5× 110 1.4× 29 0.5× 26 0.4× 28 497
Fanxing Meng 80 0.4× 201 1.8× 108 1.3× 9 0.1× 51 0.8× 31 495
Virginia Puyana‐Romero 159 0.8× 28 0.3× 12 0.1× 78 1.2× 19 0.3× 41 523
Richard L. McKinley 301 1.5× 107 1.0× 109 1.3× 38 0.6× 23 0.4× 48 516
Luis J. Manso 123 0.6× 126 1.2× 71 0.9× 10 0.2× 197 3.2× 46 519
Chucri A. Kardous 284 1.5× 23 0.2× 18 0.2× 31 0.5× 15 0.2× 32 577
Zohreh Mousavi 189 1.0× 12 0.1× 103 1.3× 9 0.1× 57 0.9× 22 609
Peter B. Shaw 172 0.9× 24 0.2× 17 0.2× 31 0.5× 11 0.2× 25 606

Countries citing papers authored by Denis McKeown

Since Specialization
Citations

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

Fields of papers citing papers by Denis McKeown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis McKeown

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