Mohammed Abdellaoui

General Decision Sciences · 2000–2016

A researcher in the Science corpus: 9 papers; trusts 28 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

• General Decision Sciences — 83 citations into it; #30 of 1,995 by trust here, #97 by citations
• Economics and Econometrics — 57 citations into it; #603 of 23,481 by trust here, #1,427 by citations
• Safety Research — 30 citations into it; #542 of 5,829 by trust here, #636 by citations
• Management Science and Operations Research — 28 citations into it
• Economics & Operations Research — 11 citations into it
• Finance — 11 citations into it
• Artificial Intelligence — 9 citations into it; #11,666 of 35,345 by trust here, #16,166 by citations
• Cognitive Science & Psychology — 8 citations into it

Whom Mohammed Abdellaoui trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Amos Tversky
2. Daniel Kahneman
3. George Wu
4. Richard Gonzalez
5. Nathalie Etchart-Vincent
6. Peter P. Wakker
7. Ulrich Schmidt
8. Han Bleichrodt
9. Ralph Hertwig
10. R. Duncan Luce

Who trusts Mohammed Abdellaoui overall

1. Nathalie Etchart-Vincent
2. Han Bleichrodt
3. Ulrich Schmidt
4. Adam S. Booij
5. Glenn W. Harrison
6. Michael H. Birnbaum
7. Gijs van de Kuilen
8. Olivier L’Haridon
9. Daniel W. Schunk
10. Horst Zank

Papers from Mohammed Abdellaoui's perspective

Ordered by how strongly the researchers Mohammed Abdellaoui trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the shape of the probability weighting function.
2. Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty (Management Sciences)
3. Loss Aversion in Riskless Choice: A Reference-Dependent Model
4. Risk Aversion and Expected Utility Theory: A Calibration Theorem
5. The Dual Theory of Choice under Risk
6. Experimental practices in economics: A methodological challenge for psychologists? (Behavioral and Brain Sciences)
7. An Experimental Test of Loss Aversion
8. The Foundations of Statistics
9. Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility (Management Sciences)
10. Utility of Gains and Losses: Measurement-Theoretical and Experimental Approaches

Their papers

• Parameter-Free Elicitation of Utility and Probability Weighting Functions (2000) — 1,006 citations
• Loss Aversion Under Prospect Theory: A Parameter-Free Measurement (2007) — 816 citations
• Choice-Based Elicitation and Decomposition of Decision Weights for Gains and Losses Under Uncertainty (2005) — 323 citations
• The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation (2011) — 559 citations
• A tractable method to measure utility and loss aversion under prospect theory (2008) — 381 citations
• Reconciling introspective utility with revealed preference: Experimental arguments based on prospect theory (2007) — 166 citations
• A Genuine Rank-Dependent Generalization of the Von Neumann-Morgenstern Expected Utility Theorem (2002) — 133 citations
• Intertemporal Tradeoffs for Gains and Losses: An Experimental Measurement of Discounted Utility (2010) — 119 citations
• Measuring Loss Aversion under Ambiguity: A Method to Make Prospect Theory Completely Observable (2016) — 94 citations