Ferdinand M. Vieider

2.1k total citations
48 papers, 1.2k citations indexed

About

Ferdinand M. Vieider is a scholar working on General Decision Sciences, Economics and Econometrics and Safety Research. According to data from OpenAlex, Ferdinand M. Vieider has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in General Decision Sciences, 17 papers in Economics and Econometrics and 12 papers in Safety Research. Recurrent topics in Ferdinand M. Vieider's work include Decision-Making and Behavioral Economics (27 papers), Experimental Behavioral Economics Studies (12 papers) and Agricultural risk and resilience (10 papers). Ferdinand M. Vieider is often cited by papers focused on Decision-Making and Behavioral Economics (27 papers), Experimental Behavioral Economics Studies (12 papers) and Agricultural risk and resilience (10 papers). Ferdinand M. Vieider collaborates with scholars based in Germany, Belgium and Sweden. Ferdinand M. Vieider's co-authors include Peter Martinsson, Peter P. Wakker, Stefan T. Trautmann, Ranoua Bouchouicha, Mathieu Lefèbvre, Julius Pahlke, Olivier L’Haridon, Thorsten Chmura, Michał Krawczyk and Rustamdjan Hakimov and has published in prestigious journals such as American Economic Review, Management Science and Psychological Science.

In The Last Decade

Ferdinand M. Vieider

47 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
Ferdinand M. Vieider Germany 21 600 453 394 217 133 48 1.2k
Helga Fehr-Duda Switzerland 13 677 1.1× 580 1.3× 275 0.7× 134 0.6× 160 1.2× 20 1.1k
Gijs van de Kuilen Netherlands 20 752 1.3× 744 1.6× 490 1.2× 255 1.2× 246 1.8× 37 1.6k
Tal Shavit Israel 18 276 0.5× 276 0.6× 168 0.4× 204 0.9× 131 1.0× 94 1.1k
Morten I. Lau United Kingdom 23 1.3k 2.2× 1.5k 3.4× 678 1.7× 259 1.2× 302 2.3× 52 2.6k
Steffen Andersen Denmark 22 858 1.4× 1.2k 2.7× 677 1.7× 317 1.5× 466 3.5× 53 2.2k
Mohamed Shehata Canada 13 273 0.5× 343 0.8× 367 0.9× 157 0.7× 264 2.0× 35 919
Charles Sprenger United States 20 1.2k 2.0× 1.4k 3.2× 634 1.6× 290 1.3× 600 4.5× 39 2.6k
Gerlinde Fellner-Röhling Germany 16 248 0.4× 488 1.1× 372 0.9× 205 0.9× 283 2.1× 33 1.0k
Joshua Schwartzstein United States 12 225 0.4× 619 1.4× 213 0.5× 161 0.7× 155 1.2× 16 1.1k
Naeem Ashraf France 10 235 0.4× 663 1.5× 270 0.7× 206 0.9× 382 2.9× 19 1.3k

Countries citing papers authored by Ferdinand M. Vieider

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand M. Vieider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferdinand M. Vieider. 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 Ferdinand M. Vieider. The network helps show where Ferdinand M. Vieider may publish in the future.

Co-authorship network of co-authors of Ferdinand M. Vieider

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand M. Vieider. A scholar is included among the top collaborators of Ferdinand M. Vieider 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 Ferdinand M. Vieider. Ferdinand M. Vieider 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.
Vieider, Ferdinand M., et al.. (2025). Economic Consequences of Numerical Adaptation. Psychological Science. 36(6). 407–420. 1 indexed citations
2.
Brown, Alexander L., Taisuke Imai, Ferdinand M. Vieider, & Colin F. Camerer. (2024). Meta-analysis of Empirical Estimates of Loss Aversion. Journal of Economic Literature. 62(2). 485–516. 39 indexed citations
3.
Falco, Salvatore Di & Ferdinand M. Vieider. (2022). Environmental Adaptation of Risk Preferences. The Economic Journal. 132(648). 2737–2766. 21 indexed citations
4.
Bluffstone, Randall, Abebe D. Beyene, Zenebe Gebreegziabher, et al.. (2021). Does Providing Improved Biomass Cooking Stoves Free-of-Charge Reduce Regular Usage? Do Use Incentives Promote Habits?. Land Economics. 97(1). 180–195. 1 indexed citations
5.
Vieider, Ferdinand M. & Erik Wengström. (2021). Introduction to the special issue on “Poverty and Economic Decision-Making”. Theory and Decision. 92(1). 1–4. 1 indexed citations
6.
Bluffstone, Randall, Abebe D. Beyene, Zenebe Gebreegziabher, et al.. (2021). Does Providing Improved Biomass Cooking Stoves Free-of-Charge Reduce Regular Usage? Do Use Incentives Promote Habits?. Land Economics. 97(1). 180–195. 4 indexed citations
7.
Brown, Alexander L., Taisuke Imai, Ferdinand M. Vieider, & Colin F. Camerer. (2021). Meta-Analysis of Empirical Estimates of Loss-Aversion. SSRN Electronic Journal. 21 indexed citations
8.
L’Haridon, Olivier & Ferdinand M. Vieider. (2019). All over the map: A worldwide comparison of risk preferences. Quantitative Economics. 10(1). 185–215. 66 indexed citations
9.
Bouchouicha, Ranoua, Peter Martinsson, Haileselassie Medhin, & Ferdinand M. Vieider. (2017). Stake effects on ambiguity attitudes for gains and losses. RePEc: Research Papers in Economics. 19–35. 2 indexed citations
10.
Vieider, Ferdinand M., Abebe D. Beyene, Randall Bluffstone, et al.. (2017). Measuring Risk Preferences in Rural Ethiopia. Economic Development and Cultural Change. 66(3). 417–446. 33 indexed citations
11.
Bouchouicha, Ranoua & Ferdinand M. Vieider. (2017). Accommodating stake effects under prospect theory. Journal of Risk and Uncertainty. 55(1). 1–28. 25 indexed citations
12.
Falco, Salvatore Di & Ferdinand M. Vieider. (2017). ASSIMILATION IN THE RISK PREFERENCES OF SPOUSES. Economic Inquiry. 56(3). 1809–1816. 14 indexed citations
13.
Bouchouicha, Ranoua, Peter Martinsson, Haileselassie Medhin, & Ferdinand M. Vieider. (2017). Stake effects on ambiguity attitudes for gains and losses. Theory and Decision. 83(1). 19–35. 11 indexed citations
14.
15.
Vieider, Ferdinand M., et al.. (2015). RISK TAKING FOR ONESELF AND OTHERS: A STRUCTURAL MODEL APPROACH. Economic Inquiry. 54(2). 879–894. 41 indexed citations
16.
Vieider, Ferdinand M., Abebe D. Beyene, Randall Bluffstone, et al.. (2014). Measuring Risk Preferences in Rural Ethiopia: Risk Tolerance and Exogenous Income Proxies. SSRN Electronic Journal. 1 indexed citations
17.
Vieider, Ferdinand M., Abebe D. Beyene, Randall Bluffstone, et al.. (2014). Measuring Risk Preferences in Rural Ethiopia: Risk Tolerance and Exogenous Income Proxies. PDXScholar (Portland State University). 5 indexed citations
18.
Vieider, Ferdinand M.. (2009). The effect of accountability on loss aversion. Acta Psychologica. 132(1). 96–101. 47 indexed citations
19.
Wakker, Peter P., Stefan T. Trautmann, & Ferdinand M. Vieider. (2008). Causes of ambiguity aversion: Known versus unknown preferences. 1 indexed citations
20.
Trautmann, Stefan T., Ferdinand M. Vieider, & Peter P. Wakker. (2008). Causes of ambiguity aversion: Known versus unknown preferences. Journal of Risk and Uncertainty. 36(3). 225–243. 95 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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