Kaspar Wüthrich
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques 12
- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 3
- Statistical Methods in Clinical Trials 3
- Economics and Econometrics top 10%
- Economic Policies and Impacts 4
- Economic and Environmental Valuation 2
- Housing Market and Economics 2
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- Monetary Policy and Economic Impact 2
- Co-authors
- Victor ChernozhukovYinchu ZhuMauricio RomeroKarthik MuralidharanGraham ElliottStefan BoesStephan NüeschMartin Huber
- Cited by
- Statistics and ProbabilityEconomics and EconometricsGeneral Economics, Econometrics and Finance
- Journals
- Journal of Econometrics (2 papers)Journal of the American Statistical Association (2 papers)Health Economics (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Kaspar Wüthrich
18 papers receiving 256 citations
Peers
Comparison fields: 5 of 80
- Statistics and Probability 97
- Economics and Econometrics 117
- General Economics, Econometrics and Finance 34
- General Decision Sciences 6
- Applied Microbiology and Biotechnology 4
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
The 15 scholars most cited alongside Kaspar Wüthrich, 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 | 2023 | 18 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 14 | |
| 16 | Practical and robust $t$-test based inference for synthetic control and related methods | 2018 | 9 |
| 17 | 2018 | 24 | |
| 18 | 2015 | 22 | |
| 19 | 2014 | 2 | |
| 20 | 2012 | 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), Economic Policies and Impacts (4 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods in Clinical Trials (3 papers), Economic and Environmental Valuation (2 papers), Housing Market and Economics (2 papers) and Monetary Policy and Economic Impact (2 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 Econometrics, Journal of the American Statistical Association, Health Economics, Quantitative Economics 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.