Kaspar Wüthrich
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Sociology and Political Science
- General Economics, Econometrics and Finance top 10%
- General Health Professions
- Co-authors
- Victor ChernozhukovYinchu ZhuMauricio RomeroKarthik MuralidharanGraham ElliottStefan BoesStephan NüeschMartin Huber
- Topics
- Advanced Causal Inference Techniques (12 papers)Statistical Methods and Inference (7 papers)Economic Policies and Impacts (4 papers)
- Cited by
- Statistics and ProbabilityEconomics and EconometricsGeneral Economics, Econometrics and Finance
- Journals
- Journal of the American Statistical AssociationEconometricaThe Review of Economics and Statistics
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Kaspar Wüthrich
18 papers receiving 256 citations
Peers
Comparison fields: 5 of 80
- Economics and Econometrics 117
- Statistics and Probability 97
- Sociology and Political Science 36
- General Economics, Econometrics and Finance 34
- General Health Professions 17
Countries citing papers authored by Kaspar Wüthrich
This map shows the geographic impact of Kaspar Wüthrich'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 Kaspar Wüthrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaspar Wüthrich more than expected).
Fields of papers citing papers by Kaspar Wüthrich
This network shows the impact of papers produced by Kaspar Wüthrich. 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 Kaspar Wüthrich. The network helps show where Kaspar Wüthrich may publish in the future.
Co-authorship network of co-authors of Kaspar Wüthrich
This figure shows the co-authorship network connecting the top 25 collaborators of Kaspar Wüthrich. A scholar is included among the top collaborators of Kaspar Wüthrich 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 Kaspar Wüthrich. Kaspar Wüthrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 26 | |
| 4 | 12 | |
| 5 | 62 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 14 | |
| 16 | Practical and robust $t$-test based inference for synthetic control and related methods | 9 |
| 17 | 24 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | 2 |
About Kaspar Wüthrich
Kaspar Wüthrich is a scholar working on Statistics and Probability, General Decision Sciences and Economics and Econometrics, having authored 20 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (12 papers), Statistical Methods and Inference (7 papers) and Economic Policies and Impacts (4 papers). The work is most often cited by research in Statistics and Probability (97 citations), Economics and Econometrics (117 citations) and General Economics, Econometrics and Finance (34 citations). Kaspar Wüthrich has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Victor Chernozhukov, Yinchu Zhu, Mauricio Romero, Karthik Muralidharan, Graham Elliott, Stefan Boes, Stephan Nüesch, Martin Huber, Blaise Melly and Iván Fernández‐Val. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and The Review of Economics and Statistics.
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.