Hans R. Künsch
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 8
- Advanced Statistical Methods and Models 7
- Finance top 1%
- Financial Risk and Volatility Modeling 14
- Global and Planetary Change top 2%
- Climate variability and models 12
- Atmospheric and Environmental Gas Dynamics 7
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- Meteorological Phenomena and Simulations 14
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- Target Tracking and Data Fusion in Sensor Networks 8
- Bayesian Methods and Mixture Models 6
- Co-authors
- Peter ReichertRaymond J. CarrollLeonard A. StefanskiChristoph SchärFriedrich GötzePeter BühlmannRainer DahlhausChristoph Buser
- Journals
- Journal of Geophysical Research Atmospheres (2 papers)Journal of the American Statistical Association (4 papers)Journal of Climate (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Hans R. Künsch
64 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Statistics and Probability 1.2k
- Finance 833
- General Economics, Econometrics and Finance 396
- Statistics, Probability and Uncertainty 281
- Global and Planetary Change 784
Countries citing papers authored by Hans R. Künsch
This map shows the geographic impact of Hans R. Künsch'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 Hans R. Künsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans R. Künsch more than expected).
Fields of papers citing papers by Hans R. Künsch
This network shows the impact of papers produced by Hans R. Künsch. 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 Hans R. Künsch. The network helps show where Hans R. Künsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans R. Künsch, 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 | 2021 | 12 | |
| 2 | 2020 | 30 | |
| 3 | Particle filters for applications in geosciences | 2018 | 2 |
| 4 | 2015 | 16 | |
| 5 | 2013 | 13 | |
| 6 | An SPDE Based Spatio-temporal Model for Large Data Sets with an Application to Postprocessing Precipitation Forecasts | 2012 | 0 |
| 7 | 2011 | 17 | |
| 8 | 2008 | 57 | |
| 9 | Recursive Monte Carlo filters: Algorithms and theoretical analysis | 2003 | 97 |
| 10 | 1998 | 35 | |
| 11 | 1998 | 24 | |
| 12 | 1995 | 49 | |
| 13 | 1992 | 17 | |
| 14 | 1989 | 132 | |
| 15 | 1988 | 1 | |
| 16 | 1987 | 4 | |
| 17 | 1986 | 146 | |
| 18 | 1984 | 10 | |
| 19 | Approximations to the Maximum Likelihood Equations for Some Gaussian Random Fields | 1983 | 12 |
| 20 | 1983 | 4 |
About Hans R. Künsch
Hans R. Künsch is a scholar working on Statistics and Probability, Finance and Atmospheric Science, having authored 66 papers that have together received 4.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (14 papers), Financial Risk and Volatility Modeling (14 papers), Climate variability and models (12 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Statistical Methods and Inference (8 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Advanced Statistical Methods and Models (7 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Finance (833 citations) and General Economics, Econometrics and Finance (396 citations). Hans R. Künsch has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Peter Reichert, Raymond J. Carroll, Leonard A. Stefanski, Christoph Schär, Friedrich Götze, Peter Bühlmann, Rainer Dahlhaus, Christoph Buser, Markus B. Hürzeler and Martin Wild. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Journal of Climate.
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.