David M. Sidhu

67 total papers · 1.7k total citations
36 papers, 994 citations indexed

About

David M. Sidhu is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, David M. Sidhu has authored 36 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Experimental and Cognitive Psychology, 15 papers in Social Psychology and 13 papers in Cognitive Neuroscience. Recurrent topics in David M. Sidhu's work include Multisensory perception and integration (19 papers), Language, Metaphor, and Cognition (19 papers) and Categorization, perception, and language (13 papers). David M. Sidhu is often cited by papers focused on Multisensory perception and integration (19 papers), Language, Metaphor, and Cognition (19 papers) and Categorization, perception, and language (13 papers). David M. Sidhu collaborates with scholars based in Canada, United Kingdom and Spain. David M. Sidhu's co-authors include Penny M. Pexman, Paul D. Siakaluk, Emiko J. Muraki, Geoff Hollis, Chris Westbury, Gabriella Vigliocco, Melvin J. Yap, Elena Cañadas, Kerry Kawakami and Kurt Hugenberg and has published in prestigious journals such as Journal of Personality and Social Psychology, PLoS ONE and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

David M. Sidhu

36 papers receiving 968 citations

Author Peers

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

Author Last Decade Papers Cites
David M. Sidhu 703 366 341 249 91 36 994
E. Richard Sorenson 510 0.7× 524 1.4× 519 1.5× 121 0.5× 143 1.6× 17 1.2k
Alexandra Paxton 250 0.4× 320 0.9× 407 1.2× 179 0.7× 72 0.8× 47 815
Dan Chiappe 607 0.9× 308 0.8× 390 1.1× 288 1.2× 129 1.4× 46 1.1k
Caitlin M. Fausey 316 0.4× 372 1.0× 209 0.6× 402 1.6× 88 1.0× 29 977
Stephen J. Flusberg 402 0.6× 321 0.9× 245 0.7× 66 0.3× 163 1.8× 52 953
Nadine Lavan 508 0.7× 491 1.3× 305 0.9× 67 0.3× 48 0.5× 54 943
Carlos Crivelli 418 0.6× 475 1.3× 488 1.4× 67 0.3× 123 1.4× 20 906
Jonas Langer 211 0.3× 323 0.9× 319 0.9× 534 2.1× 101 1.1× 49 1.2k
Joanna Rączaszek‐Leonardi 333 0.5× 305 0.8× 328 1.0× 320 1.3× 58 0.6× 54 945
Guy Van Orden 212 0.3× 581 1.6× 333 1.0× 209 0.8× 97 1.1× 27 1.1k

Countries citing papers authored by David M. Sidhu

Since Specialization
Citations

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

Fields of papers citing papers by David M. Sidhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Sidhu. 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 David M. Sidhu. The network helps show where David M. Sidhu may publish in the future.

Co-authorship network of co-authors of David M. Sidhu

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Sidhu. A scholar is included among the top collaborators of David M. Sidhu 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 David M. Sidhu. David M. Sidhu 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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