Daniel Krähmer
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
- Safety Research top 5%
- Experimental Behavioral Economics Studies
Papers in
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- Auction Theory and Applications 23
- Game Theory and Applications 12
- Marketing 15
- Consumer Market Behavior and Pricing 15
- Co-authors
- Roland Strausz (13 shared papers)Tilman Börgers (2 shared papers)Helmut Bester (3 shared papers)Luís Norberto López de Lacalle (9 shared papers)Antonio J. Sánchez Egea (14 shared papers)Unai Alonso (1 shared paper)R. Polvorosa (1 shared paper)Diego J. Celentano (2 shared papers)
In The Last Decade
Daniel Krähmer
49 papers receiving 772 citations
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 362
- Safety Research 145
- Marketing 143
- General Decision Sciences 22
- Management Information Systems 86
Countries citing papers authored by Daniel Krähmer
This map shows the geographic impact of Daniel Krähmer'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 Daniel Krähmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Krähmer more than expected).
Fields of papers citing papers by Daniel Krähmer
This network shows the impact of papers produced by Daniel Krähmer. 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 Daniel Krähmer. The network helps show where Daniel Krähmer may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniel Krähmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 2016 | 77 | |
| 3 | 2011 | 52 | |
| 4 | 2008 | 52 | |
| 5 | 2015 | 50 | |
| 6 | 2012 | 27 | |
| 7 | 2018 | 27 | |
| 8 | 2019 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2006 | 20 | |
| 11 | 2011 | 19 | |
| 12 | 2006 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2021 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2005 | 10 |
About Daniel Krähmer
Daniel Krähmer is a scholar working on Management Science and Operations Research, Marketing, Safety Research, Mechanical Engineering and Economics and Econometrics, having authored 53 papers that have together received 794 indexed citations. Recurring topics across this work include Auction Theory and Applications (23 papers), Experimental Behavioral Economics Studies (15 papers), Consumer Market Behavior and Pricing (15 papers), Game Theory and Applications (12 papers), Advanced machining processes and optimization (10 papers), Advanced Machining and Optimization Techniques (7 papers), Supply Chain and Inventory Management (6 papers) and Advanced Surface Polishing Techniques (6 papers). The work is most often cited by research in Management Science and Operations Research (362 citations), Safety Research (145 citations), Marketing (143 citations), General Decision Sciences (22 citations) and Management Information Systems (86 citations). Daniel Krähmer has collaborated with scholars based in Germany, Argentina and Spain. Frequent co-authors include Roland Strausz, Tilman Börgers, Helmut Bester, Luís Norberto López de Lacalle, Antonio J. Sánchez Egea, Unai Alonso, R. Polvorosa, Diego J. Celentano, J. Canales and M Cruchaga. Their work appears in journals such as Journal of Economic Theory, The International Journal of Advanced Manufacturing Technology, Metals, Games and Economic Behavior and The RAND Journal of Economics.
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.