Dawn M. McBride

74 total papers · 1.1k total citations
44 papers, 708 citations indexed

About

Dawn M. McBride is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Dawn M. McBride has authored 44 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 13 papers in Social Psychology. Recurrent topics in Dawn M. McBride's work include Memory Processes and Influences (17 papers), Cognitive Functions and Memory (13 papers) and Deception detection and forensic psychology (10 papers). Dawn M. McBride is often cited by papers focused on Memory Processes and Influences (17 papers), Cognitive Functions and Memory (13 papers) and Deception detection and forensic psychology (10 papers). Dawn M. McBride collaborates with scholars based in United States, Germany and United Arab Emirates. Dawn M. McBride's co-authors include Barbara Anne Dosher, Jennifer H. Coane, Drew H. Abney, John Cutting, J. Scott Jordan, Jeffrey B. Wagman, Brandon J. Thomas, Daniel W. Kee, Barbara J. Cherry and Jorie M. Colbert‐Getz and has published in prestigious journals such as Neuropsychologia, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Dawn M. McBride

44 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Dawn M. McBride	469	209	192	117	90	44	708
Kazuo Shigemasu	381 0.8×	245 1.2×	202 1.1×	60 0.5×	75 0.8×	61	885
Anna S. Law	476 1.0×	264 1.3×	102 0.5×	82 0.7×	57 0.6×	22	762
Pedro B. Albuquerque	455 1.0×	223 1.1×	279 1.5×	134 1.1×	58 0.6×	98	693
Alexandra Paxton	320 0.7×	250 1.2×	407 2.1×	179 1.5×	96 1.1×	47	815
Martin L. Bink	329 0.7×	277 1.3×	212 1.1×	83 0.7×	37 0.4×	28	677
Karin M. Butler	531 1.1×	201 1.0×	98 0.5×	94 0.8×	58 0.6×	31	802
Paul W. Foos	324 0.7×	315 1.5×	95 0.5×	233 2.0×	118 1.3×	52	864
Teague R. Henry	244 0.5×	250 1.2×	139 0.7×	44 0.4×	57 0.6×	30	624
Mark J. Huff	552 1.2×	196 0.9×	279 1.5×	206 1.8×	165 1.8×	54	760
Annika Boldt	663 1.4×	193 0.9×	130 0.7×	117 1.0×	56 0.6×	15	910

Countries citing papers authored by Dawn M. McBride

Since Specialization

Citations

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

Fields of papers citing papers by Dawn M. McBride

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn M. McBride

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