Konrad Mierendorff

439 total citations
11 papers, 208 citations indexed

About

Konrad Mierendorff is a scholar working on Management Science and Operations Research, Marketing and Management Information Systems. According to data from OpenAlex, Konrad Mierendorff has authored 11 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 6 papers in Marketing and 4 papers in Management Information Systems. Recurrent topics in Konrad Mierendorff's work include Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (6 papers) and Supply Chain and Inventory Management (4 papers). Konrad Mierendorff is often cited by papers focused on Auction Theory and Applications (10 papers), Consumer Market Behavior and Pricing (6 papers) and Supply Chain and Inventory Management (4 papers). Konrad Mierendorff collaborates with scholars based in Switzerland, United States and United Kingdom. Konrad Mierendorff's co-authors include Fabian Herweg, Yeon‐Koo Che, Jinwoo Kim, Xianwen Shi, Qingmin Liu, Kyungmin Kim and Philippe Jéhiel and has published in prestigious journals such as American Economic Review, Econometrica and Journal of Political Economy.

In The Last Decade

Konrad Mierendorff

10 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Mierendorff Switzerland 7 140 112 93 42 38 11 208
Moritz Meyer-ter-Vehn United States 8 212 1.5× 156 1.4× 83 0.9× 88 2.1× 16 0.4× 17 265
René Kirkegaard Canada 10 260 1.9× 111 1.0× 147 1.6× 165 3.9× 46 1.2× 22 303
Thomas Blake United States 7 75 0.5× 93 0.8× 66 0.7× 49 1.2× 11 0.3× 11 180
Subir Bose United Kingdom 8 262 1.9× 189 1.7× 95 1.0× 103 2.5× 26 0.7× 20 323
Daniel F. Garrett France 7 137 1.0× 111 1.0× 70 0.8× 37 0.9× 46 1.2× 17 205
Andrés Aradillas-López United States 9 177 1.3× 182 1.6× 165 1.8× 32 0.8× 9 0.2× 15 293
Songzi Du United States 9 118 0.8× 108 1.0× 47 0.5× 26 0.6× 16 0.4× 17 211
Yingni Guo United States 6 152 1.1× 68 0.6× 18 0.2× 61 1.5× 8 0.2× 13 202
Marco Pagnozzi Italy 10 119 0.8× 95 0.8× 132 1.4× 57 1.4× 27 0.7× 26 241
Iwan Bos Netherlands 8 60 0.4× 213 1.9× 107 1.2× 9 0.2× 8 0.2× 28 252

Countries citing papers authored by Konrad Mierendorff

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Mierendorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Mierendorff

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Mierendorff. A scholar is included among the top collaborators of Konrad Mierendorff 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 Konrad Mierendorff. Konrad Mierendorff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Jéhiel, Philippe & Konrad Mierendorff. (2024). Auction design with data‐driven misspecifications: Inefficiency in private value auctions with correlation. Theoretical Economics. 19(4). 1543–1579.
2.
Che, Yeon‐Koo, et al.. (2024). Prolonged Learning and Hasty Stopping: The Wald Problem with Ambiguity. American Economic Review. 114(2). 426–461. 3 indexed citations
3.
Che, Yeon‐Koo, Kyungmin Kim, & Konrad Mierendorff. (2022). Keeping the Listener Engaged: A Dynamic Model of Bayesian Persuasion. Journal of Political Economy. 131(7). 1797–1844. 3 indexed citations
4.
Liu, Qingmin, et al.. (2019). Auctions with Limited Commitment. American Economic Review. 109(3). 876–910. 15 indexed citations
5.
Mierendorff, Konrad. (2015). Optimal dynamic mechanism design with deadlines. Journal of Economic Theory. 161. 190–222. 37 indexed citations
6.
Che, Yeon‐Koo, Jinwoo Kim, & Konrad Mierendorff. (2013). Generalized reduced-form auctions: A network-flow approach. Econometrica. 81(6). 2487–2520. 22 indexed citations
7.
Herweg, Fabian & Konrad Mierendorff. (2013). UNCERTAIN DEMAND, CONSUMER LOSS AVERSION, AND FLAT-RATE TARIFFS. Journal of the European Economic Association. 11(2). 399–432. 67 indexed citations
8.
Che, Yeon‐Koo, Jinwoo Kim, & Konrad Mierendorff. (2013). Generalized Reduced-Form Auctions: A Network-Flow Approach. Econometrica. 81(6). 2487–2520. 30 indexed citations
9.
Mierendorff, Konrad. (2013). The Dynamic Vickrey Auction. Games and Economic Behavior. 82. 192–204. 8 indexed citations
10.
Che, Yeon‐Koo, Jinwoo Kim, & Konrad Mierendorff. (2011). Generalized Reduced-Form Auctions: A Network-Flow Approach. SSRN Electronic Journal. 3 indexed citations
11.
Mierendorff, Konrad. (2010). Asymmetric reduced form Auctions. Economics Letters. 110(1). 41–44. 20 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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