Dražen Prelec

18.4k total citations · 7 hit papers
68 papers, 11.2k citations indexed

About

Dražen Prelec is a scholar working on General Decision Sciences, Economics and Econometrics and Safety Research. According to data from OpenAlex, Dražen Prelec has authored 68 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in General Decision Sciences, 27 papers in Economics and Econometrics and 20 papers in Safety Research. Recurrent topics in Dražen Prelec's work include Decision-Making and Behavioral Economics (38 papers), Experimental Behavioral Economics Studies (18 papers) and Economic and Environmental Valuation (17 papers). Dražen Prelec is often cited by papers focused on Decision-Making and Behavioral Economics (38 papers), Experimental Behavioral Economics Studies (18 papers) and Economic and Environmental Valuation (17 papers). Dražen Prelec collaborates with scholars based in United States, Croatia and United Kingdom. Dražen Prelec's co-authors include George Loewenstein, Leslie K. John, Dan Ariely, R. J. Herrnstein, Brian Knutson, G. Elliott Wimmer, Scott Rick, Duncan Simester, George Lowenstein and Jane Ebert and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Dražen Prelec

67 papers receiving 10.3k citations

Hit Papers

Anomalies in Intertemporal Choice: Evidence and an Interp... 1992 2026 2003 2014 1992 2012 1998 2003 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dražen Prelec United States 35 4.4k 3.8k 1.7k 1.6k 1.6k 68 11.2k
Shane Frederick United States 26 4.9k 1.1× 4.1k 1.1× 1.8k 1.1× 1.8k 1.1× 784 0.5× 49 11.7k
Ted O’Donoghue United States 29 5.2k 1.2× 6.7k 1.7× 2.0k 1.2× 942 0.6× 918 0.6× 49 12.9k
Daniel G. Goldstein United States 37 3.1k 0.7× 1.9k 0.5× 985 0.6× 1.2k 0.7× 743 0.5× 129 9.2k
Robin M. Hogarth Spain 54 6.0k 1.4× 3.7k 1.0× 2.6k 1.5× 1.3k 0.8× 1.0k 0.7× 152 16.0k
Aldo Rustichini United States 52 2.9k 0.7× 5.0k 1.3× 4.3k 2.5× 1.8k 1.1× 515 0.3× 204 12.9k
Itamar Simonson United States 46 4.4k 1.0× 3.1k 0.8× 1.4k 0.8× 1.0k 0.6× 6.0k 3.8× 100 12.7k
Christopher K. Hsee United States 35 2.9k 0.7× 1.6k 0.4× 1.0k 0.6× 1.5k 0.9× 1.1k 0.7× 110 9.8k
Barbara A. Mellers United States 48 2.9k 0.6× 1.6k 0.4× 945 0.6× 1.5k 1.0× 633 0.4× 151 8.2k
Ido Erev Israel 40 4.2k 0.9× 2.5k 0.7× 3.0k 1.8× 1.4k 0.9× 327 0.2× 146 9.6k
Irwin P. Levin United States 45 2.9k 0.7× 1.4k 0.4× 632 0.4× 1.6k 1.0× 1.6k 1.0× 156 8.8k

Countries citing papers authored by Dražen Prelec

Since Specialization
Citations

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

Fields of papers citing papers by Dražen Prelec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dražen Prelec

This figure shows the co-authorship network connecting the top 25 collaborators of Dražen Prelec. A scholar is included among the top collaborators of Dražen Prelec 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 Dražen Prelec. Dražen Prelec 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.
McCoy, John & Dražen Prelec. (2023). A Bayesian Hierarchical Model of Crowd Wisdom Based on Predicting Opinions of Others. Management Science. 4 indexed citations
2.
Bleichrodt, Han, et al.. (2022). Beta-Delta or Delta-Tau? A Reformulation of Quasi-Hyperbolic Discounting. Management Science. 68(8). 6326–6335. 3 indexed citations
3.
Banker, Sachin, et al.. (2021). Neural mechanisms of credit card spending. Scientific Reports. 11(1). 4070–4070. 18 indexed citations
4.
Galešić, Mirta, Wändi Bruine de Bruin, Jonas Dalege, et al.. (2021). Human social sensing is an untapped resource for computational social science. Nature. 595(7866). 214–222. 53 indexed citations
5.
Radas, Sonja & Dražen Prelec. (2021). Predicted preference conjoint analysis. PLoS ONE. 16(8). e0256010–e0256010. 1 indexed citations
6.
Radas, Sonja & Dražen Prelec. (2019). Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data. PLoS ONE. 14(12). e0225432–e0225432. 4 indexed citations
7.
Cvitanić, Jakša, Dražen Prelec, Sonja Radas, & Hrvoje Šikić. (2018). Game of Duels: Information-Theoretic Axiomatization of Scoring Rules. IEEE Transactions on Information Theory. 65(1). 530–537. 2 indexed citations
8.
Banker, Sachin, et al.. (2017). Pain of Payment and the Moral Tax: the Neural Basis of the Credit Card Effect. ACR North American Advances. 2 indexed citations
9.
Prelec, Dražen, H. Sebastian Seung, & John McCoy. (2017). A solution to the single-question crowd wisdom problem. Nature. 541(7638). 532–535. 175 indexed citations
10.
Collell, Guillem, Dražen Prelec, & Kaustubh R. Patil. (2017). A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data. Neurocomputing. 275. 330–340. 112 indexed citations
11.
Pascual‐Ezama, David, et al.. (2015). Peer Effects in Unethical Behavior: Standing or Reputation?. PLoS ONE. 10(4). e0122305–e0122305. 28 indexed citations
12.
Hedden, Trey, et al.. (2014). Personality influences temporal discounting preferences: Behavioral and brain evidence. NeuroImage. 98. 42–49. 42 indexed citations
13.
Oliver, Adam, Gwyn Bevan, Paul Slovic, et al.. (2013). Behavioural Public Policy. Cambridge University Press eBooks. 75 indexed citations
14.
Prelec, Dražen, et al.. (2009). Self-deception as self-signalling: a model and experimental evidence. Philosophical Transactions of the Royal Society B Biological Sciences. 365(1538). 227–240. 77 indexed citations
15.
Ebert, Jane & Dražen Prelec. (2008). The Special Fragility of Time: Time-Insensitivity and Valuation of Near and Far Future. ACR North American Advances. 1 indexed citations
16.
Knutson, Brian, G. Elliott Wimmer, Scott Rick, et al.. (2008). Neural Antecedents of the Endowment Effect. Neuron. 58(5). 814–822. 113 indexed citations
17.
Ebert, Jane & Dražen Prelec. (2007). The Fragility of Time: Time-Insensitivity and Valuation of the Near and Far Future. Management Science. 53(9). 1423–1438. 187 indexed citations
18.
Knutson, Brian, Scott Rick, G. Elliott Wimmer, Dražen Prelec, & George Loewenstein. (2007). Neural Predictors of Purchases. Neuron. 53(1). 147–156. 763 indexed citations breakdown →
19.
Camerer, Colin F., et al.. (2004). Neuroeconomia, ovvero come le neuroscienze possono dare nuova forma all'economia. CaltechAUTHORS (California Institute of Technology). 337–418. 1 indexed citations
20.
Lowenstein, George & Dražen Prelec. (1991). Negative Time Preference. American Economic Review. 81(2). 347–352. 230 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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