Stefanie Behncke
- General Health Professions top 5%
- Demography top 2%
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Health
- Topics
- Advanced Causal Inference Techniques (11 papers)Labor market dynamics and wage inequality (8 papers)Employment and Welfare Studies (5 papers)
- Journals
- The Economic JournalJournal of the Royal Statistical Society Series A (Statistics in Society)Health Economics
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Stefanie Behncke
17 papers receiving 369 citations
Peers
Comparison fields: 5 of 50
- General Health Professions 234
- Demography 200
- Economics and Econometrics 121
- Statistics and Probability 58
- Health 48
Countries citing papers authored by Stefanie Behncke
This map shows the geographic impact of Stefanie Behncke'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 Stefanie Behncke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Behncke more than expected).
Fields of papers citing papers by Stefanie Behncke
This network shows the impact of papers produced by Stefanie Behncke. 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 Stefanie Behncke. The network helps show where Stefanie Behncke may publish in the future.
Co-authorship network of co-authors of Stefanie Behncke
This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Behncke. A scholar is included among the top collaborators of Stefanie Behncke 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 Stefanie Behncke. Stefanie Behncke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 200 | |
| 3 | 39 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 40 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | Einfluss der RAV auf die Wiedereingliederung von Stellensuchenden | 8 |
| 15 | 12 | |
| 16 | L’influence des ORP sur la réinsertion des demandeurs d’emploi | 0 |
| 17 | Statistical assistance for programme selection - for a better targeting of active labour market policies in Switzerland | 6 |
| 18 | 0 | |
| 19 | 4 | |
| 20 | Deutschland ist keine Basarökonomie | 0 |
About Stefanie Behncke
Stefanie Behncke is a scholar working on Statistics and Probability, Economics and Econometrics and General Health Professions, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Labor market dynamics and wage inequality (8 papers) and Employment and Welfare Studies (5 papers). The work is most often cited by research in Demography (200 citations), General Health Professions (234 citations) and Statistics and Probability (58 citations). Stefanie Behncke has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Markus Frölich, Michael Lechner, Stephan C. Hammer and Gustav A. Horn. Their work appears in journals such as The Economic Journal, Journal of the Royal Statistical Society Series A (Statistics in Society) and Health 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.