Laura Mickes

4.4k total citations
69 papers, 2.7k citations indexed

About

Laura Mickes is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Laura Mickes has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 34 papers in Social Psychology and 18 papers in Artificial Intelligence. Recurrent topics in Laura Mickes's work include Memory Processes and Influences (50 papers), Deception detection and forensic psychology (32 papers) and Memory and Neural Mechanisms (12 papers). Laura Mickes is often cited by papers focused on Memory Processes and Influences (50 papers), Deception detection and forensic psychology (32 papers) and Memory and Neural Mechanisms (12 papers). Laura Mickes collaborates with scholars based in United States, United Kingdom and Australia. Laura Mickes's co-authors include John T. Wixted, Peter E. Wais, Scott D. Gronlund, Heather D. Flowe, Travis M. Seale‐Carlisle, Steven E. Clark, Brent M. Wilson, John C. Dunn, Larry R. Squire and Ronald P. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Review and American Psychologist.

In The Last Decade

Laura Mickes

67 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Mickes United States 30 2.1k 1.1k 417 335 316 69 2.7k
Chad S. Dodson United States 30 2.5k 1.2× 1.1k 0.9× 439 1.1× 214 0.6× 410 1.3× 76 2.7k
Wilma Koutstaal United States 29 4.3k 2.0× 815 0.7× 265 0.6× 265 0.8× 687 2.2× 81 4.9k
Ian G. Dobbins United States 33 3.7k 1.7× 675 0.6× 205 0.5× 148 0.4× 454 1.4× 78 4.0k
Thad A. Polk United States 31 2.9k 1.3× 313 0.3× 239 0.6× 321 1.0× 693 2.2× 79 3.9k
Jeremy R. Reynolds United States 19 3.2k 1.5× 551 0.5× 207 0.5× 258 0.8× 1.1k 3.4× 24 4.2k
Daniel D. Langleben United States 30 1.9k 0.9× 1.3k 1.1× 185 0.4× 226 0.7× 717 2.3× 78 3.6k
Jason M. Watson United States 24 2.6k 1.2× 1.0k 0.9× 291 0.7× 94 0.3× 745 2.4× 40 3.4k
Brennan R. Payne United States 32 2.3k 1.1× 416 0.4× 154 0.4× 96 0.3× 583 1.8× 94 3.4k
Serge Brédart Belgium 31 2.5k 1.2× 673 0.6× 167 0.4× 82 0.2× 956 3.0× 100 3.5k
Artur Marchewka Poland 28 1.8k 0.8× 556 0.5× 112 0.3× 109 0.3× 890 2.8× 107 2.9k

Countries citing papers authored by Laura Mickes

Since Specialization
Citations

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

Fields of papers citing papers by Laura Mickes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Mickes

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Mickes. A scholar is included among the top collaborators of Laura Mickes 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 Laura Mickes. Laura Mickes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lindsay, D. Stephen, John T. Wixted, Ryan J. Fitzgerald, et al.. (2025). Eyewitness suspect identification: six claims regarding the state of the science. Memory. 33(7). 1–8. 1 indexed citations
2.
Mickes, Laura, Brent M. Wilson, & John T. Wixted. (2025). The cognitive science of eyewitness memory. Trends in Cognitive Sciences. 29(7). 655–668. 2 indexed citations
3.
Mickes, Laura & John T. Wixted. (2025). When eyewitness memory reliably exonerates the wrongfully convicted. Memory. 33(9). 1054–1057. 1 indexed citations
4.
Mickes, Laura, et al.. (2024). Application of artificial intelligence to eyewitness identification. Cognitive Research Principles and Implications. 9(1). 19–19. 3 indexed citations
5.
Mickes, Laura, et al.. (2023). Illustrations of interactions needed when investigating sleep using a type of AM-PM PM-AM design. Psychonomic Bulletin & Review. 30(6). 2106–2115.
6.
Mickes, Laura, Travis M. Seale‐Carlisle, Xueqing Chen, & Stewart Boogert. (2023). pyWitness 1.0: A python eyewitness identification analysis toolkit. Behavior Research Methods. 56(3). 1533–1550. 3 indexed citations
7.
Mickes, Laura, et al.. (2021). The new hypothesis of everyday amnesia: An effect of criterion placement, not memory. Neuropsychologia. 166. 108114–108114. 1 indexed citations
8.
Robinson, Maria M., et al.. (2020). The effect of lineup size on eyewitness identification.. Journal of Experimental Psychology Applied. 27(2). 369–392. 11 indexed citations
9.
Morgan, D.P., Jakke Tamminen, Travis M. Seale‐Carlisle, & Laura Mickes. (2019). The impact of sleep on eyewitness identifications. Royal Society Open Science. 6(12). 170501–170501. 11 indexed citations
10.
Seale‐Carlisle, Travis M., Stacy A. Wetmore, Heather D. Flowe, & Laura Mickes. (2019). Designing police lineups to maximize memory performance.. Journal of Experimental Psychology Applied. 25(3). 410–430. 29 indexed citations
11.
Semmler, Carolyn, John C. Dunn, Laura Mickes, & John T. Wixted. (2018). The role of estimator variables in eyewitness identification.. Journal of Experimental Psychology Applied. 24(3). 400–415. 47 indexed citations
12.
Wixted, John T., Laura Mickes, Steven E. Clark, Scott D. Gronlund, & Henry L. Roediger. (2015). Initial eyewitness confidence reliably predicts eyewitness identification accuracy.. American Psychologist. 70(6). 515–526. 103 indexed citations
13.
Mickes, Laura, et al.. (2014). Specificity of children’s arithmetic learning. Journal of Experimental Child Psychology. 122. 62–74. 7 indexed citations
14.
Mickes, Laura, Travis M. Seale‐Carlisle, & John T. Wixted. (2013). Rethinking familiarity: Remember/Know judgments in free recall. Journal of Memory and Language. 68(4). 333–349. 56 indexed citations
15.
Mickes, Laura, et al.. (2013). Major memory for microblogs. Memory & Cognition. 41(4). 481–489. 26 indexed citations
16.
Mickes, Laura, John T. Wixted, Guerry M. Peavy, et al.. (2012). Difficulty modifying a sustained motor response in prodromal Huntington's disease. Journal of Clinical and Experimental Neuropsychology. 35(1). 35–40. 1 indexed citations
17.
Mickes, Laura, Heather D. Flowe, & John T. Wixted. (2012). Receiver operating characteristic analysis of eyewitness memory: Comparing the diagnostic accuracy of simultaneous versus sequential lineups.. Journal of Experimental Psychology Applied. 18(4). 361–376. 148 indexed citations
18.
Wais, Peter E., Laura Mickes, & John T. Wixted. (2007). Remember/Know Judgments Probe Degrees of Recollection. Journal of Cognitive Neuroscience. 20(3). 400–405. 107 indexed citations
19.
Mickes, Laura, John T. Wixted, Christine Fennema‐Notestine, et al.. (2007). Progressive impairment on neuropsychological tasks in a longitudinal study of preclinical Alzheimer's disease.. Neuropsychology. 21(6). 696–705. 76 indexed citations
20.
Cook, Ian A., Andrew F. Leuchter, Melinda Morgan, et al.. (2002). Cognitive and Physiologic Correlates of Subclinical Structural Brain Disease in Elderly Healthy Control Subjects. Archives of Neurology. 59(10). 1612–1612. 54 indexed citations

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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