Michael Lee

19.0k total citations · 5 hit papers
384 papers, 12.1k citations indexed

About

Michael Lee is a scholar working on Artificial Intelligence, Cognitive Neuroscience and General Decision Sciences. According to data from OpenAlex, Michael Lee has authored 384 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 50 papers in Cognitive Neuroscience and 49 papers in General Decision Sciences. Recurrent topics in Michael Lee's work include Decision-Making and Behavioral Economics (49 papers), Bayesian Modeling and Causal Inference (35 papers) and Child and Animal Learning Development (27 papers). Michael Lee is often cited by papers focused on Decision-Making and Behavioral Economics (49 papers), Bayesian Modeling and Causal Inference (35 papers) and Child and Animal Learning Development (27 papers). Michael Lee collaborates with scholars based in United States, Australia and Netherlands. Michael Lee's co-authors include Eric‐Jan Wagenmakers, Jeffrey N. Rouder, Richard D. Morey, Mark Steyvers, Matthew K. Nock, Ruud Wetzels, Alexander J. Millner, Barbara W. Sarnecka, Dóra Matzke and Geoffrey Iverson and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Michael Lee

366 papers receiving 11.6k citations

Hit Papers

Bayesian Cognitive Modeling 2011 2026 2016 2021 2014 2014 2011 2015 2017 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Michael Lee 3.2k 1.8k 1.6k 1.5k 1.3k 384 12.1k
Joseph P. Simmons 2.2k 0.7× 1.4k 0.7× 1.8k 1.2× 613 0.4× 974 0.8× 69 11.2k
John K. Kruschke 3.3k 1.0× 1.8k 1.0× 1.8k 1.1× 2.7k 1.8× 701 0.5× 89 10.2k
Uri Simonsohn 2.3k 0.7× 804 0.4× 2.2k 1.4× 715 0.5× 896 0.7× 78 11.9k
Richard D. Morey 6.6k 2.1× 1.1k 0.6× 2.8k 1.8× 1.6k 1.1× 762 0.6× 78 12.1k
Jeffrey N. Rouder 7.9k 2.5× 1.6k 0.8× 3.2k 2.1× 2.2k 1.5× 1.2k 1.0× 132 14.5k
Raymond S. Nickerson 2.6k 0.8× 1.1k 0.6× 1.5k 1.0× 1.5k 1.0× 758 0.6× 141 10.2k
Lance J. Rips 1.8k 0.6× 2.1k 1.1× 2.1k 1.3× 3.0k 2.0× 701 0.5× 95 10.4k
James T. Townsend 5.9k 1.9× 1.5k 0.8× 2.7k 1.7× 1.3k 0.9× 1.5k 1.2× 166 10.3k
Scott Brown 5.9k 1.8× 1.0k 0.6× 1.5k 1.0× 908 0.6× 1.8k 1.4× 227 9.5k
Valerie F. Reyna 7.2k 2.3× 2.0k 1.1× 1.8k 1.2× 3.3k 2.3× 2.8k 2.1× 258 16.2k

Countries citing papers authored by Michael Lee

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lee. A scholar is included among the top collaborators of Michael Lee 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 Michael Lee. Michael Lee 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.
Mancini, Flavia, et al.. (2024). Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue. Brain. 148(6). 2151–2162. 1 indexed citations
2.
Lee, Michael, et al.. (2024). Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease. Alzheimer s & Dementia. 20(10). 6935–6947. 4 indexed citations
3.
4.
Hayes, Brett K., et al.. (2022). Always look on the bright side of logic? Testing explanations of intuitive sensitivity to logic in perceptual tasks.. Journal of Experimental Psychology Learning Memory and Cognition. 48(11). 1598–1617. 7 indexed citations
5.
Dong, Shen, Kamir J. Hiam-Galvez, Cody T. Mowery, et al.. (2021). The effect of low-dose IL-2 and Treg adoptive cell therapy in patients with type 1 diabetes. JCI Insight. 6(18). 151 indexed citations
6.
Vandekerckhove, Joachim, et al.. (2020). A cognitive modeling analysis of risk in sequential choice tasks. Judgment and Decision Making. 15(5). 823–850. 7 indexed citations
7.
Flores, Glenn, Hua Lin, Michael Lee, et al.. (2017). The health and healthcare impact of providing insurance coverage to uninsured children: A prospective observational study. BMC Public Health. 17(1). 553–553. 34 indexed citations
8.
Perry, George A., D.A. Kenny, M.G. Diskin, et al.. (2016). Invited. Advances in Animal Biosciences. 7(1). 159–181. 1 indexed citations
9.
Wagenmakers, Eric‐Jan, Richard D. Morey, & Michael Lee. (2016). Bayesian Benefits for the Pragmatic Researcher. Current Directions in Psychological Science. 25(3). 169–176. 233 indexed citations
10.
11.
Lee, Michael, et al.. (2014). Threshold Models of Human Decision Making on Optimal Stopping Problems in Different Environments. Cognitive Science. 36(36). 8 indexed citations
12.
Lee, Michael & Shunan Zhang. (2012). Evaluating the coherence of Take-the-best in structured environments. Judgment and Decision Making. 7(4). 360–372. 12 indexed citations
13.
Lee, Michael. (2011). Trends in the law: the Patient Protection and Affordable Care Act.. PubMed. 11(1). 1–7. 1 indexed citations
14.
Lee, Michael & Ben R. Newell. (2011). Using hierarchical Bayesian methods to examine the tools of decision-making. Judgment and Decision Making. 6(8). 832–842. 33 indexed citations
15.
Lee, Michael, et al.. (2011). Modeling Multitrial Free Recall with Unknown Rehearsal Times. Cognitive Science. 33(33). 1 indexed citations
16.
Lee, Michael & Ruud Wetzels. (2010). Individual differences in attention during category learning. UvA-DARE (University of Amsterdam). 32(32). 11 indexed citations
17.
Habibi, Assal & Michael Lee. (2009). A Cyclic Sequential Sampling Model of Bistable Auditory Perception. eScholarship (California Digital Library). 31(31). 1 indexed citations
18.
Lee, Michael, et al.. (2009). Replacement H2S Plant for Kwinana Nickel Refinery. 1207. 1 indexed citations
19.
Griffiths, Thomas L., Michael Lee, Danielle Navarro, & Mark Steyvers. (2005). Modeling Individual Differences with Dirichlet Processes. eScholarship (California Digital Library). 27(27). 2 indexed citations
20.
Freed, Adrian, Mark Goldstein, Michael M. Goodwin, et al.. (1994). Real-Time Additive Synthesis Controlled by a Mixture of Neural-Networks and Direct Manipulation of Physical and Perceptual Attributes. The Journal of the Abraham Lincoln Association. 1 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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