Manuel Mueller-Frank

465 total citations
42 papers, 258 citations indexed

About

Manuel Mueller-Frank is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Safety Research. According to data from OpenAlex, Manuel Mueller-Frank has authored 42 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Management Science and Operations Research, 24 papers in Statistical and Nonlinear Physics and 13 papers in Safety Research. Recurrent topics in Manuel Mueller-Frank's work include Game Theory and Applications (31 papers), Opinion Dynamics and Social Influence (24 papers) and Experimental Behavioral Economics Studies (13 papers). Manuel Mueller-Frank is often cited by papers focused on Game Theory and Applications (31 papers), Opinion Dynamics and Social Influence (24 papers) and Experimental Behavioral Economics Studies (13 papers). Manuel Mueller-Frank collaborates with scholars based in Spain, Israel and United States. Manuel Mueller-Frank's co-authors include Itai Arieli, Mallesh M. Pai, Yakov Babichenko, Omer Tamuz, Elchanan Mossel, Allan Sly and Yi-Chun Chen and has published in prestigious journals such as The Review of Economic Studies, Operations Research and Journal of Economic Theory.

In The Last Decade

Manuel Mueller-Frank

39 papers receiving 246 citations

Peers

Manuel Mueller-Frank
Jurjen Kamphorst Netherlands
Elliot Lipnowski United States
John Nachbar United States
William Stanford United States
Tanya Araújo Portugal
Stephen Morris United States
Jurjen Kamphorst Netherlands
Manuel Mueller-Frank
Citations per year, relative to Manuel Mueller-Frank Manuel Mueller-Frank (= 1×) peers Jurjen Kamphorst

Countries citing papers authored by Manuel Mueller-Frank

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Mueller-Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Mueller-Frank. 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 Manuel Mueller-Frank. The network helps show where Manuel Mueller-Frank may publish in the future.

Co-authorship network of co-authors of Manuel Mueller-Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Mueller-Frank. A scholar is included among the top collaborators of Manuel Mueller-Frank 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 Manuel Mueller-Frank. Manuel Mueller-Frank 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.
Mueller-Frank, Manuel. (2023). As strong as the weakest node: The impact of misinformation in social networks. Journal of Economic Theory. 215. 105773–105773.
2.
Mueller-Frank, Manuel, et al.. (2021). The welfare costs of informationally efficient prices. Games and Economic Behavior. 131. 186–196.
3.
Arieli, Itai, Yakov Babichenko, & Manuel Mueller-Frank. (2020). Sequential Naive Learning. SSRN Electronic Journal. 2 indexed citations
4.
Arieli, Itai & Manuel Mueller-Frank. (2018). Multidimensional Social Learning. The Review of Economic Studies. 86(3). 913–940. 9 indexed citations
5.
Mueller-Frank, Manuel. (2017). Robust Non-Bayesian Learning. SSRN Electronic Journal. 1 indexed citations
6.
Arieli, Itai & Manuel Mueller-Frank. (2017). Inferring beliefs from actions. Games and Economic Behavior. 102. 455–461. 7 indexed citations
7.
Arieli, Itai & Manuel Mueller-Frank. (2016). A General Analysis of Sequential Learning. SSRN Electronic Journal. 3 indexed citations
8.
Mueller-Frank, Manuel & Mallesh M. Pai. (2016). Social Learning with Costly Search. American Economic Journal Microeconomics. 8(1). 83–109. 17 indexed citations
9.
Mueller-Frank, Manuel, et al.. (2015). A general model of boundedly rational observational learning: theory and evidence. Alexandria (UniSG) (University of St.Gallen). 6 indexed citations
10.
Mueller-Frank, Manuel. (2015). Price Efficiency and Welfare. SSRN Electronic Journal. 1 indexed citations
11.
Mueller-Frank, Manuel. (2014). Does one Bayesian make a difference?. Journal of Economic Theory. 154. 423–452. 24 indexed citations
12.
Mueller-Frank, Manuel & Mallesh M. Pai. (2014). Do Online Social Networks Increase Welfare?. SSRN Electronic Journal. 2 indexed citations
13.
Mueller-Frank, Manuel, et al.. (2013). Social Learning in Networks: Theory and Experiments. SSRN Electronic Journal. 9 indexed citations
14.
Arieli, Itai & Manuel Mueller-Frank. (2013). Inferring Beliefs from Actions. SSRN Electronic Journal. 7 indexed citations
15.
Mueller-Frank, Manuel & Mallesh M. Pai. (2012). Social Search. SSRN Electronic Journal. 7 indexed citations
16.
Mueller-Frank, Manuel. (2012). The Efficiency of Social Learning in Networks with Bayesian and Non-Bayesian Agents. SSRN Electronic Journal. 3 indexed citations
17.
Mueller-Frank, Manuel & Itai Arieli. (2012). Generic Outcomes of Observational Learning. SSRN Electronic Journal. 5 indexed citations
18.
Mueller-Frank, Manuel. (2011). Information Aggregation Properties of Opinion Formation in Social Networks. SSRN Electronic Journal. 2 indexed citations
19.
Mueller-Frank, Manuel. (2011). The Robustness of Consensus in Network-Based Non-Bayesian Learning Models. SSRN Electronic Journal. 5 indexed citations
20.
Mueller-Frank, Manuel. (2010). A Fixed Point Convergence Theorem in Euclidean Spaces and its Application to Non-Bayesian Learning in Social Networks. SSRN Electronic Journal. 4 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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