Tamaryn Menneer

104 total papers · 1.1k total citations
52 papers, 826 citations indexed

About

Tamaryn Menneer is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tamaryn Menneer has authored 52 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tamaryn Menneer's work include Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (13 papers) and Face Recognition and Perception (9 papers). Tamaryn Menneer is often cited by papers focused on Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (13 papers) and Face Recognition and Perception (9 papers). Tamaryn Menneer collaborates with scholars based in United Kingdom, United States and Denmark. Tamaryn Menneer's co-authors include Nick Donnelly, Kyle R. Cave, H. J. Godwin, Michael J. Stroud, Michael C. Hout, Markus Mueller, David Barrett, Stuart Townley, Shaun Helman and Erik D. Reichle and has published in prestigious journals such as Neuropsychologia, Journal of Experimental Psychology Human Perception & Performance and Energy and Buildings.

In The Last Decade

Tamaryn Menneer

43 papers receiving 792 citations

Author Peers

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

Author						Papers	Cites
Tamaryn Menneer	529	181	152	131	107	52	826
Melissa R. Beck	568 1.1×	117 0.6×	145 1.0×	250 1.9×	21 0.2×	74	856
Javier Marín‐Morales	398 0.8×	145 0.8×	267 1.8×	228 1.7×	22 0.2×	48	991
Ronnie Taib	182 0.3×	90 0.5×	197 1.3×	245 1.9×	21 0.2×	38	871
Cezary Biele	314 0.6×	79 0.4×	226 1.5×	201 1.5×	19 0.2×	20	744
Herbert A. Colle	612 1.2×	44 0.2×	232 1.5×	261 2.0×	29 0.3×	30	970
David Peebles	416 0.8×	188 1.0×	105 0.7×	55 0.4×	23 0.2×	36	1.0k
Heather F. Neyedli	301 0.6×	21 0.1×	70 0.5×	159 1.2×	29 0.3×	50	825
Mark St. John	275 0.5×	132 0.7×	122 0.8×	312 2.4×	9 0.1×	39	878
Melina A. Kunar	779 1.5×	172 1.0×	204 1.3×	210 1.6×	56 0.5×	48	1.0k
Sabine J. Schlittmeier	510 1.0×	53 0.3×	123 0.8×	295 2.3×	5 0.0×	58	937

Countries citing papers authored by Tamaryn Menneer

Since Specialization

Citations

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

Fields of papers citing papers by Tamaryn Menneer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamaryn Menneer

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