Nora Szech
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Safety Research top 1%
- Experimental Behavioral Economics Studies
Papers in
-
- Decision-Making and Behavioral Economics 7
-
- Experimental Behavioral Economics Studies 26
- Co-authors
- Armin FalkMarta Serra-GarcíaRoman M. SheremetaAniol Llorente-SaguerThomas DeckersFabian KosseMatthias KräkelBenny Moldovanu
- Journals
- Management Science (3 papers)Journal of Mathematical Economics (3 papers)European Economic Review (3 papers)Journal of Economic Theory (3 papers)Journal of Economic Behavior & Organization (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Nora Szech
33 papers receiving 516 citations
Peers
Comparison fields: 5 of 72
- General Decision Sciences 78
- Safety Research 307
- Information Systems and Management 65
- Management Science and Operations Research 87
- Economics and Econometrics 167
Countries citing papers authored by Nora Szech
This map shows the geographic impact of Nora Szech'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 Nora Szech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nora Szech more than expected).
Fields of papers citing papers by Nora Szech
This network shows the impact of papers produced by Nora Szech. 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 Nora Szech. The network helps show where Nora Szech may publish in the future.
Co-authors
The 12 scholars most cited alongside Nora Szech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 2 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 0 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 7 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 2 | |
| 15 | 2013 | 0 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 4 | |
| 18 | 2011 | 0 | |
| 19 | 2011 | 12 | |
| 20 | 2011 | 17 |
About Nora Szech
Nora Szech is a scholar working on General Decision Sciences, Safety Research, Management Science and Operations Research, Information Systems and Management and Marketing, having authored 38 papers that have together received 542 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (26 papers), Auction Theory and Applications (11 papers), Decision-Making and Behavioral Economics (7 papers), Consumer Market Behavior and Pricing (7 papers), Psychology of Moral and Emotional Judgment (7 papers), Ethics in Business and Education (7 papers), Economic and Environmental Valuation (5 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in General Decision Sciences (78 citations), Safety Research (307 citations), Information Systems and Management (65 citations), Management Science and Operations Research (87 citations) and Economics and Econometrics (167 citations). Nora Szech has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Armin Falk, Marta Serra-García, Roman M. Sheremeta, Aniol Llorente-Saguer, Thomas Deckers, Fabian Kosse, Matthias Kräkel, Benny Moldovanu, Thomas Mariotti and Konstanze Albrecht. Their work appears in journals such as Management Science, Journal of Mathematical Economics, European Economic Review, Journal of Economic Theory and Journal of Economic Behavior & Organization.
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.