Stephanie Denison

1.6k total citations
53 papers, 910 citations indexed

About

Stephanie Denison is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Cognitive Neuroscience. According to data from OpenAlex, Stephanie Denison has authored 53 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Developmental and Educational Psychology, 15 papers in Statistics and Probability and 12 papers in Cognitive Neuroscience. Recurrent topics in Stephanie Denison's work include Child and Animal Learning Development (38 papers), Cognitive and developmental aspects of mathematical skills (15 papers) and Bayesian Modeling and Causal Inference (10 papers). Stephanie Denison is often cited by papers focused on Child and Animal Learning Development (38 papers), Cognitive and developmental aspects of mathematical skills (15 papers) and Bayesian Modeling and Causal Inference (10 papers). Stephanie Denison collaborates with scholars based in Canada, United States and United Kingdom. Stephanie Denison's co-authors include Fei Xu, Elizabeth Bonawitz, Alison Gopnik, Thomas L. Griffiths, Christie Reed, Ori Friedman, Daphna Buchsbaum, Emily J. E. Messer, Shaylene E. Nancekivell and Scott P. Johnson and has published in prestigious journals such as PLoS ONE, Child Development and Trends in Cognitive Sciences.

In The Last Decade

Stephanie Denison

46 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephanie Denison Canada	15	621	263	178	163	152	53	910
Michel González Italy	12	355 0.6×	203 0.8×	198 1.1×	225 1.4×	66 0.4×	18	809
Anne Schlottmann United Kingdom	20	700 1.1×	134 0.5×	493 2.8×	112 0.7×	128 0.8×	40	1.2k
Sophie Bridgers United States	11	396 0.6×	37 0.1×	176 1.0×	93 0.6×	137 0.9×	25	699
Sandeep Prasada United States	16	860 1.4×	84 0.3×	470 2.6×	189 1.2×	58 0.4×	30	1.4k
Julien Musolino United States	16	796 1.3×	178 0.7×	395 2.2×	277 1.7×	95 0.6×	30	1.3k
Arnaud Rey France	22	898 1.4×	150 0.6×	718 4.0×	181 1.1×	107 0.7×	61	1.4k
Daphna Buchsbaum United States	13	388 0.6×	38 0.1×	175 1.0×	132 0.8×	82 0.5×	45	790
Micah B. Goldwater Australia	14	370 0.6×	34 0.1×	210 1.2×	145 0.9×	143 0.9×	60	769
George R. Potts United States	15	489 0.8×	237 0.9×	346 1.9×	260 1.6×	120 0.8×	31	983
D. Geoffrey Hall Canada	23	1.4k 2.2×	122 0.5×	327 1.8×	147 0.9×	94 0.6×	58	1.6k

Countries citing papers authored by Stephanie Denison

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie Denison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Denison

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Denison. A scholar is included among the top collaborators of Stephanie Denison 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 Stephanie Denison. Stephanie Denison 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

Denison, Stephanie, et al.. (2025). Doing things intentionally: Probability raising and control. New Ideas in Psychology. 78. 101164–101164.

Denison, Stephanie, et al.. (2024). Not just social networks: How people infer relations from mutual connections. Psychonomic Bulletin & Review. 32(3). 1264–1273.

Denison, Stephanie, et al.. (2023). Close counterfactuals and almost doing the impossible. Psychonomic Bulletin & Review. 31(1). 187–195.

Friedman, Ori, et al.. (2023). Calculated Feelings: How Children Use Probability to Infer Emotions. Open Mind. 7. 879–893. 2 indexed citations

Denison, Stephanie, et al.. (2023). Two kinds of counterfactual closeness.. Journal of Experimental Psychology General. 152(6). 1787–1796. 2 indexed citations

Denison, Stephanie, et al.. (2023). Probability and intentional action. Cognitive Psychology. 141. 101551–101551. 2 indexed citations

Denison, Stephanie, et al.. (2022). The odds tell children what people favor.. Developmental Psychology. 58(9). 1759–1766. 2 indexed citations

Friedman, Ori, et al.. (2021). Blind to Bias? Young Children Do Not Anticipate that Sunk Costs Lead to Irrational Choices. Cognitive Science. 45(11). e13063–e13063. 4 indexed citations

Denison, Stephanie, et al.. (2021). The computer judge: Expectations about algorithmic decision-making. eScholarship (California Digital Library). 43(43). 1 indexed citations

10.

Bonawitz, Elizabeth, et al.. (2020). “Wow, I did it!”: Unexpected success increases preschoolers’ exploratory play on a later task. Cognitive Development. 55. 100925–100925. 11 indexed citations

11.

Buchsbaum, Daphna, et al.. (2019). Exploring information use in children’s decision-making: Base-rate neglect and trust in testimony.. Journal of Experimental Psychology General. 149(8). 1527–1536. 4 indexed citations

12.

Denison, Stephanie, et al.. (2016). The development of heuristics in children: Base-rate neglect and representativeness.. Cognitive Science. 1 indexed citations

13.

Denison, Stephanie, et al.. (2015). Learning to reason about desires: An infant training study. Cognitive Science. 1–4. 4 indexed citations

14.

Doan, Tiffany M., Stephanie Denison, Christopher Lucas, & Alison Gopnik. (2015). Proceedings for the Annual Meeting of the Cognitice Science Society 2015. Cognitive Science. 1 indexed citations

15.

Bonawitz, Elizabeth, Stephanie Denison, Alison Gopnik, & Thomas L. Griffiths. (2014). Win-Stay, Lose-Sample: A simple sequential algorithm for approximating Bayesian inference. Cognitive Psychology. 74. 35–65. 85 indexed citations

16.

Bonawitz, Elizabeth, Alison Gopnik, Stephanie Denison, & Thomas L. Griffiths. (2012). Rational Randomness. Advances in child development and behavior. 43. 161–191. 3 indexed citations

17.

Bonawitz, Elizabeth, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths. (2011). A Simple Sequential Algorithm for Approximating Bayesian Inference.. Cognitive Science. 33(33). 15 indexed citations

18.

Denison, Stephanie, Christie Reed, & Fei Xu. (2011). The emergence of probabilistic reasoning in very young infants. Cognitive Science. 33(33). 5 indexed citations

19.

Denison, Stephanie, Elizabeth Bonawitz, Alison Gopnik, & Thomas L. Griffiths. (2010). Preschoolers sample from probability distributions. eScholarship (California Digital Library). 32(32). 9 indexed citations

20.

Denison, Stephanie, et al.. (2006). Probabilistic Reasoning in Preschoolers: Random Sampling and Base Rate. eScholarship (California Digital Library). 28(28). 17 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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