Aurélien Baillon

2.0k total citations
48 papers, 1.1k citations indexed

About

Aurélien Baillon is a scholar working on General Decision Sciences, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Aurélien Baillon has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Decision Sciences, 29 papers in Economics and Econometrics and 16 papers in Management Science and Operations Research. Recurrent topics in Aurélien Baillon's work include Decision-Making and Behavioral Economics (32 papers), Economic and Environmental Valuation (16 papers) and Experimental Behavioral Economics Studies (12 papers). Aurélien Baillon is often cited by papers focused on Decision-Making and Behavioral Economics (32 papers), Economic and Environmental Valuation (16 papers) and Experimental Behavioral Economics Studies (12 papers). Aurélien Baillon collaborates with scholars based in Netherlands, France and United Kingdom. Aurélien Baillon's co-authors include Peter P. Wakker, Lætitia Placido, Han Bleichrodt, Mohammed Abdellaoui, Olivier L’Haridon, Vitalie Spinu, Laure Cabantous, Dennie van Dolder, Harris Schlesinger and Gijs van de Kuilen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Economic Review.

In The Last Decade

Aurélien Baillon

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélien Baillon Netherlands 17 808 602 313 300 158 48 1.1k
Sanjit Dhami United Kingdom 12 567 0.7× 624 1.0× 228 0.7× 224 0.7× 106 0.7× 48 1.1k
Ali al‐Nowaihi United Kingdom 12 562 0.7× 675 1.1× 232 0.7× 250 0.8× 128 0.8× 45 1.2k
Pietro Ortoleva United States 19 685 0.8× 682 1.1× 331 1.1× 238 0.8× 79 0.5× 45 1.3k
Simon Grant Australia 20 743 0.9× 799 1.3× 252 0.8× 401 1.3× 201 1.3× 91 1.3k
David Kelsey United Kingdom 22 572 0.7× 819 1.4× 292 0.9× 346 1.2× 118 0.7× 93 1.5k
Mohammed Abdellaoui France 8 527 0.7× 487 0.8× 167 0.5× 245 0.8× 183 1.2× 11 914
Kfir Eliaz United States 17 397 0.5× 526 0.9× 326 1.0× 391 1.3× 42 0.3× 56 1.0k
Jürgen Eichberger Germany 16 593 0.7× 736 1.2× 280 0.9× 402 1.3× 261 1.7× 57 1.2k
Enrico Diecidue France 16 477 0.6× 457 0.8× 153 0.5× 241 0.8× 130 0.8× 37 867
Pavlo R. Blavatskyy France 17 623 0.8× 558 0.9× 208 0.7× 292 1.0× 104 0.7× 85 887

Countries citing papers authored by Aurélien Baillon

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Baillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélien Baillon

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Baillon. A scholar is included among the top collaborators of Aurélien Baillon 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 Aurélien Baillon. Aurélien Baillon 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.
Baillon, Aurélien, et al.. (2025). Source Theory: A Tractable and Positive Ambiguity Theory. Management Science. 71(10). 8767–8782. 1 indexed citations
2.
Baillon, Aurélien, et al.. (2025). Follow the money, not the majority: A mechanism predicting unresolvable events. Journal of Risk and Uncertainty. 71(2). 111–137. 1 indexed citations
3.
Baillon, Aurélien, et al.. (2025). Falling and failing (to learn): Evidence from a nation-wide cybersecurity field experiment with SMEs. Journal of Economic Behavior & Organization. 230. 106868–106868.
4.
Baillon, Aurélien, et al.. (2025). How much do we learn? Measuring symmetric and asymmetric deviations from Bayesian updating through choices. Quantitative Economics. 16(1). 329–365.
5.
Baillon, Aurélien, et al.. (2022). Incentives in surveys. Journal of Economic Psychology. 93. 102552–102552. 13 indexed citations
6.
Baillon, Aurélien, et al.. (2022). Experimental elicitation of ambiguity attitude using the random incentive system. Experimental Economics. 25(3). 1002–1023. 11 indexed citations
7.
Baillon, Aurélien, et al.. (2021). Belief hedges: Measuring ambiguity for all events and all models. Journal of Economic Theory. 198. 105353–105353. 12 indexed citations
8.
Johnson, Cathleen, et al.. (2021). Prince: An improved method for measuring incentivized preferences. Journal of Risk and Uncertainty. 62(1). 1–28. 23 indexed citations
9.
Baillon, Aurélien, et al.. (2021). Persistent effects of temporary incentives: Evidence from a nationwide health insurance experiment. Journal of Health Economics. 81. 102580–102580. 3 indexed citations
10.
Baillon, Aurélien, et al.. (2020). When Risk Perception Gets in the Way: Probability Weighting and Underprevention. Operations Research. 70(3). 1371–1392. 21 indexed citations
11.
Baillon, Aurélien & Olivier L’Haridon. (2020). Discrete Arrow–Pratt indexes for risk and uncertainty. Economic Theory. 72(4). 1375–1393. 2 indexed citations
12.
Baillon, Aurélien, Han Bleichrodt, & Vitalie Spinu. (2019). Searching for the Reference Point. Management Science. 66(1). 93–112. 77 indexed citations
13.
Baillon, Aurélien, et al.. (2019). Informing, simulating experience, or both: A field experiment on phishing risks. PLoS ONE. 14(12). e0224216–e0224216. 26 indexed citations
14.
Baillon, Aurélien, et al.. (2018). ZOOMING IN ON AMBIGUITY ATTITUDES. International Economic Review. 59(4). 2107–2131. 6 indexed citations
15.
Baillon, Aurélien, Harris Schlesinger, & Gijs van de Kuilen. (2017). Measuring higher order ambiguity preferences. Experimental Economics. 21(2). 233–256. 28 indexed citations
16.
Johnson, Cathleen, et al.. (2014). Prince: An Improved Method for Measuring Incentivized Preferences. SSRN Electronic Journal. 25 indexed citations
17.
Baillon, Aurélien, Laure Cabantous, & Peter P. Wakker. (2012). Aggregating Imprecise or Conflicting Beliefs: An Experimental Investigation Using Modern Ambiguity Theories. SSRN Electronic Journal. 1 indexed citations
18.
Baillon, Aurélien, Laure Cabantous, & Peter P. Wakker. (2012). Aggregating imprecise or conflicting beliefs: An experimental investigation using modern ambiguity theories. Journal of Risk and Uncertainty. 44(2). 115–147. 35 indexed citations
19.
Baillon, Aurélien, et al.. (2012). Relative concave utility for risk and ambiguity. Games and Economic Behavior. 75(2). 481–489. 12 indexed citations
20.
Abdellaoui, Mohammed, Aurélien Baillon, Lætitia Placido, & Peter P. Wakker. (2010). Web-Appendix of: The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation.. American Economic Review. 1–39. 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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