Corrina Maguinness

34 total papers · 442 total citations
16 papers, 298 citations indexed

About

Corrina Maguinness is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Corrina Maguinness has authored 16 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Corrina Maguinness's work include Face Recognition and Perception (9 papers), Multisensory perception and integration (8 papers) and Action Observation and Synchronization (3 papers). Corrina Maguinness is often cited by papers focused on Face Recognition and Perception (9 papers), Multisensory perception and integration (8 papers) and Action Observation and Synchronization (3 papers). Corrina Maguinness collaborates with scholars based in Ireland and Germany. Corrina Maguinness's co-authors include Áine Ní Choisdealbha, Nuala Brady, Katharina von Kriegstein, Fiona N. Newell, Annalisa Setti, Rose Anne Kenny, Eugenie Roudaia, Emer P. Doheny, Jason Chan and Danuta Lisiecka and has published in prestigious journals such as PLoS ONE, Neuropsychologia and Experimental Brain Research.

In The Last Decade

Corrina Maguinness

16 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Corrina Maguinness	226	114	109	52	24	16	298
Elle van Heusden	256 1.1×	75 0.7×	84 0.8×	31 0.6×	15 0.6×	11	358
James H. Kryklywy	198 0.9×	39 0.3×	127 1.2×	27 0.5×	38 1.6×	20	318
John C. Thoresen	71 0.3×	78 0.7×	122 1.1×	30 0.6×	35 1.5×	11	302
William L. Libby	172 0.8×	121 1.1×	116 1.1×	37 0.7×	8 0.3×	11	337
Jane W. Couperus	257 1.1×	41 0.4×	82 0.8×	62 1.2×	8 0.3×	19	334
Francesco S. Marucci	236 1.0×	50 0.4×	95 0.9×	33 0.6×	10 0.4×	22	316
Marius Klug	237 1.0×	46 0.4×	41 0.4×	14 0.3×	28 1.2×	11	293
Matt Craddock	302 1.3×	35 0.3×	107 1.0×	18 0.3×	16 0.7×	24	340
Stefania D’Ascenzo	231 1.0×	64 0.6×	102 0.9×	58 1.1×	12 0.5×	27	309
Thomas L. Harrington	250 1.1×	43 0.4×	66 0.6×	16 0.3×	11 0.5×	14	344

Countries citing papers authored by Corrina Maguinness

Since Specialization

Citations

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

Fields of papers citing papers by Corrina Maguinness

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrina Maguinness

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