Élise Payzan-LeNestour

839 total citations
21 papers, 449 citations indexed

About

Élise Payzan-LeNestour is a scholar working on Finance, Economics and Econometrics and General Decision Sciences. According to data from OpenAlex, Élise Payzan-LeNestour has authored 21 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Finance, 13 papers in Economics and Econometrics and 9 papers in General Decision Sciences. Recurrent topics in Élise Payzan-LeNestour's work include Financial Markets and Investment Strategies (11 papers), Decision-Making and Behavioral Economics (9 papers) and Complex Systems and Time Series Analysis (8 papers). Élise Payzan-LeNestour is often cited by papers focused on Financial Markets and Investment Strategies (11 papers), Decision-Making and Behavioral Economics (9 papers) and Complex Systems and Time Series Analysis (8 papers). Élise Payzan-LeNestour collaborates with scholars based in Australia, United States and Switzerland. Élise Payzan-LeNestour's co-authors include Peter Bossaerts, John P. O’Doherty, Simon Dunne, Michael Woodford, Bernard W. Balleine, Joel Pearson, Tālis J. Putniņš, James Doran and Gideon Nave and has published in prestigious journals such as Neuron, Journal of Financial Economics and Current Biology.

In The Last Decade

Élise Payzan-LeNestour

21 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Élise Payzan-LeNestour Australia 7 304 105 75 50 41 21 449
Amy J. Nelson United States 4 229 0.8× 152 1.4× 66 0.9× 10 0.2× 49 1.2× 7 363
Germain Lefebvre France 4 181 0.6× 71 0.7× 66 0.9× 13 0.3× 20 0.5× 5 315
Milica Mormann United States 8 218 0.7× 159 1.5× 54 0.7× 48 1.0× 105 2.6× 17 407
Robert E. Hoskin United Kingdom 9 167 0.5× 41 0.4× 60 0.8× 85 1.7× 33 0.8× 19 463
Zhu‐Yuan Liang China 11 167 0.5× 156 1.5× 68 0.9× 9 0.2× 64 1.6× 33 438
Ryan Webb Canada 12 358 1.2× 233 2.2× 88 1.2× 11 0.2× 114 2.8× 26 576
Arkady Konovalov Switzerland 9 148 0.5× 98 0.9× 38 0.5× 7 0.1× 36 0.9× 17 263
Khoi Vo United States 7 309 1.0× 61 0.6× 141 1.9× 6 0.1× 21 0.5× 13 633
Qiang Shen China 11 274 0.9× 92 0.9× 78 1.0× 6 0.1× 30 0.7× 26 456
Lee-Xieng Yang Taiwan 8 166 0.5× 28 0.3× 123 1.6× 12 0.2× 12 0.3× 12 330

Countries citing papers authored by Élise Payzan-LeNestour

Since Specialization
Citations

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

Fields of papers citing papers by Élise Payzan-LeNestour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Élise Payzan-LeNestour. 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 Élise Payzan-LeNestour. The network helps show where Élise Payzan-LeNestour may publish in the future.

Co-authorship network of co-authors of Élise Payzan-LeNestour

This figure shows the co-authorship network connecting the top 25 collaborators of Élise Payzan-LeNestour. A scholar is included among the top collaborators of Élise Payzan-LeNestour 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 Élise Payzan-LeNestour. Élise Payzan-LeNestour 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.
Payzan-LeNestour, Élise & James Doran. (2024). Craving money? Evidence from the laboratory and the field. Science Advances. 10(2). eadi5034–eadi5034. 1 indexed citations
2.
Payzan-LeNestour, Élise, et al.. (2022). Biased risk perceptions: Evidence from the laboratory and financial markets. Journal of Banking & Finance. 154. 106685–106685. 2 indexed citations
3.
Payzan-LeNestour, Élise, et al.. (2022). Harnessing Neuroscientific Insights to Generate Alpha. Financial Analysts Journal. 78(2). 79–95. 1 indexed citations
4.
Payzan-LeNestour, Élise & James Doran. (2022). Craving for Money. SSRN Electronic Journal. 1 indexed citations
5.
Payzan-LeNestour, Élise, et al.. (2021). The “Waterfall Illusion” in the Perception of Risk. SSRN Electronic Journal. 1 indexed citations
6.
Payzan-LeNestour, Élise, et al.. (2021). Impact of ambient sound on risk perception in humans: neuroeconomic investigations. Scientific Reports. 11(1). 5392–5392. 6 indexed citations
7.
Payzan-LeNestour, Élise & Michael Woodford. (2021). Outlier blindness: A neurobiological foundation for neglect of financial risk. Journal of Financial Economics. 143(3). 1316–1343. 15 indexed citations
8.
Payzan-LeNestour, Élise & Michael Woodford. (2020). Outlier Blindness: A Neurobiological Foundation for Neglect of Financial Risk. SSRN Electronic Journal. 3 indexed citations
9.
Payzan-LeNestour, Élise, et al.. (2018). The 'Waterfall Illusion' in the Financial Markets: Risk Perception Is Distorted After Prior Exposure to Extreme Risk. SSRN Electronic Journal. 3 indexed citations
10.
Payzan-LeNestour, Élise, et al.. (2018). The Waterfall Illusion, and How Prior Exposure to Extreme Risk Distorts Risk Perception. SSRN Electronic Journal. 1 indexed citations
11.
Payzan-LeNestour, Élise & Michael Woodford. (2018). 'Outlier Blindness': Efficient Coding Generates an Inability to Represent Extreme Values. SSRN Electronic Journal. 4 indexed citations
12.
Payzan-LeNestour, Élise, et al.. (2016). Variance After-Effects Distort Risk Perception in Humans. Current Biology. 26(11). 1500–1504. 14 indexed citations
13.
Payzan-LeNestour, Élise, et al.. (2015). Volatility After-Effects: Evidence from the Field. SSRN Electronic Journal. 2 indexed citations
14.
Payzan-LeNestour, Élise & Peter Bossaerts. (2014). Learning About Unstable, Publicly Unobservable Payoffs. Review of Financial Studies. 28(7). 1874–1913. 17 indexed citations
15.
Payzan-LeNestour, Élise, Simon Dunne, Peter Bossaerts, & John P. O’Doherty. (2013). The Neural Representation of Unexpected Uncertainty during Value-Based Decision Making. Neuron. 79(1). 191–201. 167 indexed citations
16.
Payzan-LeNestour, Élise & Peter Bossaerts. (2012). Learning to Choose the Right Investment in an Unstable World. SSRN Electronic Journal. 3 indexed citations
17.
Payzan-LeNestour, Élise & Peter Bossaerts. (2012). Learning to Choose the Right Investment in an Unstable World. SSRN Electronic Journal. 1 indexed citations
18.
Payzan-LeNestour, Élise & Peter Bossaerts. (2012). Do not Bet on the Unknown Versus Try to Find Out More: Estimation Uncertainty and “Unexpected Uncertainty” Both Modulate Exploration. Frontiers in Neuroscience. 6. 150–150. 34 indexed citations
19.
Payzan-LeNestour, Élise. (2012). Bayesian Learning in an Unstable World: Experimental Evidence Based on the Bandit Problem. SSRN Electronic Journal. 4 indexed citations
20.
Payzan-LeNestour, Élise & Peter Bossaerts. (2011). Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings. PLoS Computational Biology. 7(1). e1001048–e1001048. 157 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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