Anne Collins

6.5k total citations · 1 hit paper
62 papers, 3.5k citations indexed

About

Anne Collins is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, Anne Collins has authored 62 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 9 papers in General Decision Sciences. Recurrent topics in Anne Collins's work include Neural and Behavioral Psychology Studies (46 papers), Neural dynamics and brain function (30 papers) and Decision-Making and Behavioral Economics (9 papers). Anne Collins is often cited by papers focused on Neural and Behavioral Psychology Studies (46 papers), Neural dynamics and brain function (30 papers) and Decision-Making and Behavioral Economics (9 papers). Anne Collins collaborates with scholars based in United States, Germany and Netherlands. Anne Collins's co-authors include Michael J. Frank, Étienne Koechlin, Robert C. Wilson, Maël Donoso, Maria K. Eckstein, Jeffrey Cockburn, James M. Gold, James A. Waltz, Linda Wilbrecht and Samuel D. McDougle and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anne Collins

59 papers receiving 3.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ten simple rules for the computational modeling of behavioral data

2019 363 citations Robert C. Wilson, Anne Collins eLife profile →

Author Peers

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

Author						Papers	Cites
Anne Collins	2.6k	710	478	382	372	62	3.5k
Jonathan Cohen	3.4k 1.3×	924 1.3×	612 1.3×	506 1.3×	232 0.6×	59	4.6k
Angela J. Yu	2.6k 1.0×	619 0.9×	229 0.5×	175 0.5×	562 1.5×	57	3.7k
Stefano Palminteri	1.8k 0.7×	518 0.7×	248 0.5×	183 0.5×	291 0.8×	71	2.8k
Michael R. MacAskill	2.7k 1.1×	977 1.4×	575 1.2×	662 1.7×	367 1.0×	73	5.7k
Martijn Meeter	3.3k 1.3×	859 1.2×	758 1.6×	371 1.0×	368 1.0×	177	4.7k
Joshua W. Brown	5.1k 2.0×	851 1.2×	330 0.7×	434 1.1×	707 1.9×	79	6.2k
Michael B. Miller	3.5k 1.4×	828 1.2×	404 0.8×	375 1.0×	216 0.6×	79	4.9k
Richard P. Heitz	2.7k 1.0×	1.3k 1.8×	643 1.3×	134 0.4×	169 0.5×	36	3.9k
Joseph Dien	4.3k 1.7×	1.2k 1.6×	597 1.2×	328 0.9×	217 0.6×	44	5.0k

Countries citing papers authored by Anne Collins

Since Specialization

Citations

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

Fields of papers citing papers by Anne Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Collins

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

All Works

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20 of 20 papers shown

Collins, Anne. (2025). A habit and working memory model as an alternative account of human reward-based learning. Nature Human Behaviour. 10(2). 357–369.

McDougle, Samuel D., et al.. (2025). Dual effects of dual-tasking on instrumental learning. Cognition. 264. 106228–106228.

Tsay, Jonathan S., Hyosub E. Kim, Samuel D. McDougle, et al.. (2024). Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife. 13. 10 indexed citations

Collins, Anne, et al.. (2024). Artificial neural networks for model identification and parameter estimation in computational cognitive models. PLoS Computational Biology. 20(5). e1012119–e1012119. 6 indexed citations

Collins, Anne, et al.. (2023). Intrinsic rewards explain context-sensitive valuation in reinforcement learning. PLoS Biology. 21(7). e3002201–e3002201. 12 indexed citations

Collins, Anne, et al.. (2023). A goal-centric outlook on learning. Trends in Cognitive Sciences. 27(12). 1150–1164. 21 indexed citations

Baribault, Beth, et al.. (2023). Age-related differences in prefrontal glutamate are associated with increased working memory decay that gives the appearance of learning deficits. eLife. 12. 9 indexed citations

Rac-Lubashevsky, Rachel, Anna Lena Cremer, Anne Collins, Michael J. Frank, & Lars Schwabe. (2023). Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load. Journal of Neuroscience. 43(17). 3131–3143. 11 indexed citations

Baribault, Beth & Anne Collins. (2023). Troubleshooting Bayesian cognitive models.. Psychological Methods. 30(1). 128–154. 13 indexed citations

10.

Yoo, Aspen H., et al.. (2023). Lowered inter-stimulus discriminability hurts incremental contributions to learning. Cognitive Affective & Behavioral Neuroscience. 23(5). 1346–1364. 3 indexed citations

11.

Eckstein, Maria K., et al.. (2022). The interpretation of computational model parameters depends on the context. eLife. 11. 47 indexed citations

12.

Delevich, Kristen, et al.. (2022). Activation, but not inhibition, of the indirect pathway disrupts choice rejection in a freely moving, multiple-choice foraging task. Cell Reports. 40(4). 111129–111129. 5 indexed citations

13.

Master, Sarah L., Maria K. Eckstein, Beth Baribault, et al.. (2021). Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Computational Biology. 17(7). e1008524–e1008524. 19 indexed citations

14.

Eckstein, Maria K. & Anne Collins. (2020). Computational evidence for hierarchically structured reinforcement learning in humans. Proceedings of the National Academy of Sciences. 117(47). 29381–29389. 50 indexed citations

15.

Master, Sarah L., et al.. (2020). Learning under uncertainty changes during adolescence. Cognitive Science. 716–722. 3 indexed citations

16.

Berwian, Isabel M., Anne Collins, Erich Seifritz, et al.. (2020). Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation. JAMA Psychiatry. 77(5). 513–513. 61 indexed citations

17.

Wilson, Robert C. & Anne Collins. (2019). Ten simple rules for the computational modeling of behavioral data. eLife. 8. 363 indexed citations breakdown →

18.

Collins, Anne & Michael J. Frank. (2018). Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences. 115(10). 2502–2507. 90 indexed citations

19.

Collins, Anne. (2018). The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory. Journal of Cognitive Neuroscience. 30(10). 1422–1432. 60 indexed citations

20.

Collins, Anne & Étienne Koechlin. (2012). Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making. PLoS Biology. 10(3). e1001293–e1001293. 360 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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