Peter Bossaerts

10.5k total citations · 1 hit paper
141 papers, 6.7k citations indexed

About

Peter Bossaerts is a scholar working on Economics and Econometrics, Finance and Cognitive Neuroscience. According to data from OpenAlex, Peter Bossaerts has authored 141 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Economics and Econometrics, 69 papers in Finance and 46 papers in Cognitive Neuroscience. Recurrent topics in Peter Bossaerts's work include Financial Markets and Investment Strategies (63 papers), Complex Systems and Time Series Analysis (44 papers) and Neural and Behavioral Psychology Studies (41 papers). Peter Bossaerts is often cited by papers focused on Financial Markets and Investment Strategies (63 papers), Complex Systems and Time Series Analysis (44 papers) and Neural and Behavioral Psychology Studies (41 papers). Peter Bossaerts collaborates with scholars based in United States, Australia and United Kingdom. Peter Bossaerts's co-authors include Kerstin Preuschoff, John P. O’Doherty, Steven R. Quartz, Pierre Hillion, Alan N. Hampton, Élise Payzan-LeNestour, Bruno Biais, William R. Zame, Wolfram Schultz and Raymond J. Dolan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Peter Bossaerts

134 papers receiving 6.4k citations

Hit Papers

Human Insula Activation Reflects Risk Prediction Errors A... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Bossaerts United States 39 3.2k 1.9k 1.6k 1.4k 722 141 6.7k
Charles Noussair United States 37 678 0.2× 1.4k 0.7× 2.2k 1.4× 1.2k 0.9× 262 0.4× 154 5.4k
Antonio Rangel United States 55 9.3k 2.9× 393 0.2× 2.0k 1.3× 4.2k 3.1× 2.6k 3.7× 84 15.7k
Neil Stewart United Kingdom 34 1.3k 0.4× 233 0.1× 1.0k 0.6× 1.7k 1.2× 650 0.9× 118 4.7k
Missaka Warusawitharana United States 16 325 0.1× 638 0.3× 638 0.4× 544 0.4× 284 0.4× 48 2.1k
Daniel Houser United States 30 1.0k 0.3× 86 0.0× 644 0.4× 753 0.6× 529 0.7× 146 4.2k
Tali Sharot United Kingdom 41 2.9k 0.9× 104 0.1× 365 0.2× 931 0.7× 1.6k 2.2× 86 6.7k
Samuel M. McClure United States 42 6.4k 2.0× 118 0.1× 752 0.5× 2.4k 1.8× 2.4k 3.3× 75 10.9k
Gideon Keren Netherlands 30 777 0.2× 121 0.1× 585 0.4× 1.2k 0.9× 399 0.6× 71 3.2k
Paul W. Glimcher United States 52 9.9k 3.1× 189 0.1× 929 0.6× 3.2k 2.3× 1.7k 2.4× 125 13.9k
Jörg Rieskamp Switzerland 40 1.9k 0.6× 105 0.1× 1.0k 0.6× 2.5k 1.9× 667 0.9× 127 5.2k

Countries citing papers authored by Peter Bossaerts

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bossaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Bossaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bossaerts. A scholar is included among the top collaborators of Peter Bossaerts 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 Peter Bossaerts. Peter Bossaerts 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.
Murawski, Carsten, et al.. (2025). Estimating self-performance when making complex decisions. Scientific Reports. 15(1). 3203–3203. 1 indexed citations
2.
Bowman, Elizabeth A., David Coghill, Carsten Murawski, & Peter Bossaerts. (2023). Not so smart? “Smart” drugs increase the level but decrease the quality of cognitive effort. Science Advances. 9(24). eadd4165–eadd4165. 6 indexed citations
3.
Bossaerts, Peter, et al.. (2022). Task-independent metrics of computational hardness predict human cognitive performance. Scientific Reports. 12(1). 12914–12914. 4 indexed citations
4.
Rotaru, Kristian, et al.. (2021). Transferring cognitive talent across domains to reduce the disposition effect in investment. Scientific Reports. 11(1). 23068–23068. 7 indexed citations
5.
Barnes, Samuel A., et al.. (2020). Separating Probability and Reversal Learning in a Novel Probabilistic Reversal Learning Task for Mice. Frontiers in Behavioral Neuroscience. 13. 270–270. 21 indexed citations
6.
Murawski, Carsten & Peter Bossaerts. (2016). How Humans Solve Complex Problems: The Case of the Knapsack Problem. Scientific Reports. 6(1). 34851–34851. 38 indexed citations
7.
Suzuki, Shinsuke, et al.. (2015). Neural Mechanisms Underlying Human Consensus Decision-Making. Neuron. 86(2). 591–602. 54 indexed citations
8.
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
9.
Beierholm, Ulrik, et al.. (2011). Separate encoding of model-based and model-free valuations in the human brain. NeuroImage. 58(3). 955–962. 29 indexed citations
10.
Frydman, Cary, Nicholas Barberis, Colin F. Camerer, Peter Bossaerts, & Antonio Rangel. (2011). Testing Theories of Investor Behavior Using Neural Data. SSRN Electronic Journal. 25 indexed citations
11.
Prévost, Charlotte, et al.. (2011). Differentiable contributions of human amygdalar subregions in the computations underlying reward and avoidance learning. European Journal of Neuroscience. 34(1). 134–145. 46 indexed citations
12.
Christopoulos, George I., Philippe N. Tobler, Peter Bossaerts, Raymond J. Dolan, & Wolfram Schultz. (2009). Neural Correlates of Value, Risk, and Risk Aversion Contributing to Decision Making under Risk. Journal of Neuroscience. 29(40). 12574–12583. 318 indexed citations
13.
Preuschoff, Kerstin, Steven R. Quartz, & Peter Bossaerts. (2008). Human Insula Activation Reflects Risk Prediction Errors As Well As Risk. Journal of Neuroscience. 28(11). 2745–2752. 603 indexed citations breakdown →
14.
Preuschoff, Kerstin, Steven R. Quartz, & Peter Bossaerts. (2008). Markowitz in the brain ?. Revue d économie politique. Vol. 118(1). 75–95. 8 indexed citations
15.
Plott, Charles R., Peter Bossaerts, & Colin F. Camerer. (2008). Handbook of Experimental Economic Results, Volume 1. CaltechAUTHORS (California Institute of Technology). 5 indexed citations
16.
Bruguier, Antoine, Kerstin Preuschoff, Steven R. Quartz, & Peter Bossaerts. (2008). Investigating signal integration with canonical correlation analysis of fMRI brain activation data. NeuroImage. 41(1). 35–44. 15 indexed citations
17.
Knutson, Brian & Peter Bossaerts. (2007). Neural Antecedents of Financial Decisions: Figure 1.. Journal of Neuroscience. 27(31). 8174–8177. 165 indexed citations
18.
Hampton, Alan N., Peter Bossaerts, & John P. O’Doherty. (2006). The Role of the Ventromedial Prefrontal Cortex in Abstract State-Based Inference during Decision Making in Humans. Journal of Neuroscience. 26(32). 8360–8367. 378 indexed citations
19.
Bossaerts, Peter, et al.. (2006). Executing Complex Cognitive Tasks: Prizes vs. Markets. SSRN Electronic Journal. 1 indexed citations
20.
Rogers, L. C. G., Guy Barles, Nigel J. Newton, et al.. (1997). Numerical Methods in Finance. Cambridge University Press eBooks. 125 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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