Nadja Dwenger
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics 7
- Accounting top 5%
- Corporate Taxation and Avoidance 16
- Corporate Finance and Governance 5
- Economics and Econometrics top 5%
- Taxation and Compliance Studies 11
- Fiscal Policy and Economic Growth 9
- Game Theory and Voting Systems 8
- German Economic Analysis & Policies 6
- Safety Research top 5%
- Experimental Behavioral Economics Studies 10
- Co-authors
- Viktor SteinerDorothea KüblerSebastian BraunGeorg WeizsäckerKatharina WrohlichFrank M. FossenAlexander WestkampJohannes Rincke
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Nadja Dwenger
43 papers receiving 449 citations
Peers
Comparison fields: 5 of 53
- General Decision Sciences 70
- Accounting 184
- Economics and Econometrics 332
- Safety Research 92
- Management Science and Operations Research 70
Countries citing papers authored by Nadja Dwenger
This map shows the geographic impact of Nadja Dwenger'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 Nadja Dwenger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Dwenger more than expected).
Fields of papers citing papers by Nadja Dwenger
This network shows the impact of papers produced by Nadja Dwenger. 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 Nadja Dwenger. The network helps show where Nadja Dwenger may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Nadja Dwenger, 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 | 2022 | 13 | |
| 2 | 2020 | 0 | |
| 3 | 2020 | 12 | |
| 4 | 2019 | 1 | |
| 5 | 2018 | 7 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 11 | |
| 8 | 2015 | 7 | |
| 9 | Extrinsic vs Intrinsic Motivations for Tax Compliance. Evidence from a Randomized Field Experiment in Germany | 2014 | 1 |
| 10 | Do Taxes Crowd Out Intrinsic Motivation? Field-Experimental Evidence from Germany | 2014 | 5 |
| 11 | 2014 | 8 | |
| 12 | 2013 | 12 | |
| 13 | 2011 | 40 | |
| 14 | 2010 | 34 | |
| 15 | 2009 | 5 | |
| 16 | 2009 | 7 | |
| 17 | 2009 | 5 | |
| 18 | Don't aim too high: The potential costs of high aspirations | 2007 | 1 |
| 19 | Unternehmensbesteuerung: trotz hoher Steuersätze mäßiges Aufkommen | 2007 | 6 |
| 20 | Unternehmensteuerreform 2008: positives Signal auf Kosten der Steuersystematik | 2007 | 2 |
About Nadja Dwenger
Nadja Dwenger is a scholar working on General Decision Sciences, Accounting and Safety Research, having authored 45 papers that have together received 494 indexed citations. Recurring topics across this work include Corporate Taxation and Avoidance (16 papers), Taxation and Compliance Studies (11 papers), Experimental Behavioral Economics Studies (10 papers), Fiscal Policy and Economic Growth (9 papers), Game Theory and Voting Systems (8 papers), Decision-Making and Behavioral Economics (7 papers), German Economic Analysis & Policies (6 papers) and Corporate Finance and Governance (5 papers). The work is most often cited by research in General Decision Sciences (70 citations), Accounting (184 citations) and Economics and Econometrics (332 citations). Nadja Dwenger has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Viktor Steiner, Dorothea Kübler, Sebastian Braun, Georg Weizsäcker, Katharina Wrohlich, Frank M. Fossen, Alexander Westkamp, Johannes Rincke, Pierre Boyer and Stefan Bach.
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.