Hans R. Künsch

6.7k total citations · 1 hit paper
66 papers, 4.2k citations indexed

About

Hans R. Künsch is a scholar working on Global and Planetary Change, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Hans R. Künsch has authored 66 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 19 papers in Statistics and Probability and 17 papers in Artificial Intelligence. Recurrent topics in Hans R. Künsch's work include Meteorological Phenomena and Simulations (14 papers), Financial Risk and Volatility Modeling (14 papers) and Climate variability and models (12 papers). Hans R. Künsch is often cited by papers focused on Meteorological Phenomena and Simulations (14 papers), Financial Risk and Volatility Modeling (14 papers) and Climate variability and models (12 papers). Hans R. Künsch collaborates with scholars based in Switzerland, Germany and United States. Hans R. Künsch's 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 and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Journal of Climate.

In The Last Decade

Hans R. Künsch

64 papers receiving 4.0k citations

Hit Papers

The Jackknife and the Bootstrap for General Stationary Ob... 1989 2026 2001 2013 1989 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans R. Künsch Switzerland 30 1.2k 833 784 714 682 66 4.2k
Georg Lindgren Sweden 25 951 0.8× 1.6k 2.0× 724 0.9× 644 0.9× 576 0.8× 95 6.2k
Holger Rootzén Sweden 31 1.2k 1.1× 2.5k 3.0× 1.1k 1.4× 971 1.4× 605 0.9× 83 6.1k
Gregory C. Reinsel United States 36 1.2k 1.1× 853 1.0× 1.5k 2.0× 1.3k 1.9× 474 0.7× 85 6.2k
Mark Priestley United Kingdom 26 872 0.7× 648 0.8× 277 0.4× 893 1.3× 659 1.0× 79 4.9k
Jennifer A. Hoeting United States 22 1.1k 0.9× 217 0.3× 706 0.9× 698 1.0× 813 1.2× 54 5.2k
Song Xi Chen China 35 2.6k 2.2× 816 1.0× 250 0.3× 429 0.6× 1.0k 1.5× 121 4.3k
Douglas Nychka United States 40 1.0k 0.9× 501 0.6× 2.3k 3.0× 1.3k 1.8× 808 1.2× 118 6.7k
Fabrizio Durante Italy 32 1.1k 0.9× 1.6k 1.9× 974 1.2× 446 0.6× 329 0.5× 145 3.5k
Genshiro Kitagawa Japan 28 810 0.7× 573 0.7× 385 0.5× 612 0.9× 2.4k 3.5× 88 6.0k
Bruno Rémillard Canada 21 776 0.7× 1.5k 1.8× 729 0.9× 781 1.1× 261 0.4× 96 2.8k

Countries citing papers authored by Hans R. Künsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Hans R. Künsch

This figure shows the co-authorship network connecting the top 25 collaborators of Hans R. Künsch. A scholar is included among the top collaborators of Hans R. Künsch 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 Hans R. Künsch. Hans R. Künsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Landmann, Johannes, et al.. (2021). Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter. ˜The œcryosphere. 15(11). 5017–5040. 12 indexed citations
2.
Leeuwen, Peter Jan van, Hans R. Künsch, Lars Nerger, Roland Potthast, & Sebastian Reich. (2018). Particle filters for applications in geosciences. arXiv (Cornell University). 2 indexed citations
3.
Künsch, Hans R., et al.. (2015). A Bayesian Hierarchical Model for Heterogeneous RCM–GCM Multimodel Ensembles*. Journal of Climate. 28(15). 6249–6266. 16 indexed citations
4.
Menéndez, Patricia, Sucharita Ghosh, Hans R. Künsch, & Willy Tinner. (2013). On trend estimation under monotone Gaussian subordination with long-memory: application to fossil pollen series. Journal of nonparametric statistics. 25(4). 765–785. 13 indexed citations
5.
Sigrist, Fabio, Hans R. Künsch, & Werner A. Stahel. (2012). An SPDE Based Spatio-temporal Model for Large Data Sets with an Application to Postprocessing Precipitation Forecasts. arXiv (Cornell University).
6.
Albert, Carlo, Roman Ashauer, Hans R. Künsch, & Peter Reichert. (2011). Bayesian experimental design for a toxicokinetic–toxicodynamic model. Journal of Statistical Planning and Inference. 142(1). 263–275. 17 indexed citations
7.
Künsch, Hans R., et al.. (2011). Approximate variances for tapered spectral estimates. Signal Processing. 91(11). 2685–2689. 1 indexed citations
8.
Lehmann, Peter, Benjamin Ahrenholz, Jonas Tölke, et al.. (2008). Impact of geometrical properties on permeability and fluid phase distribution in porous media. Advances in Water Resources. 31(9). 1188–1204. 57 indexed citations
9.
Künsch, Hans R., et al.. (2003). Recursive Monte Carlo filters: Algorithms and theoretical analysis. 97 indexed citations
10.
Künsch, Hans R., et al.. (1998). Monte Carlo Approximations for General State-Space Models. Journal of Computational and Graphical Statistics. 7(2). 175–193. 35 indexed citations
11.
Qian, Guoqi & Hans R. Künsch. (1998). Some notes on Rissanen's stochastic complexity. IEEE Transactions on Information Theory. 44(2). 782–786. 24 indexed citations
12.
Künsch, Hans R., Andreas Papritz, & Francesca Bassi. (1997). Generalized cross-covariances and their estimation. Mathematical Geosciences. 29(6). 779–799. 19 indexed citations
13.
Künsch, Hans R.. (1992). Robust Methods for Credibility. Astin Bulletin. 22(1). 33–49. 17 indexed citations
14.
Künsch, Hans R., Leonard A. Stefanski, & Raymond J. Carroll. (1989). Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models. Journal of the American Statistical Association. 84(406). 460–466. 132 indexed citations
15.
Brandt, Andreas & Hans R. Künsch. (1988). On the stability of robust filter-cleaners. Stochastic Processes and their Applications. 30(2). 253–262. 1 indexed citations
16.
Künsch, Hans R.. (1987). Intrinsic autoregressions and related models on the two-dimensional lattice. Biometrika. 74(3). 517–524. 54 indexed citations
17.
Künsch, Hans R.. (1986). Discrimination between monotonic trends and long-range dependence. Journal of Applied Probability. 23(4). 1025–1030. 146 indexed citations
18.
Künsch, Hans R.. (1984). Time reversal and stationary Gibbs measures. Stochastic Processes and their Applications. 17(1). 159–166. 10 indexed citations
19.
Künsch, Hans R.. (1983). Approximations to the Maximum Likelihood Equations for Some Gaussian Random Fields. Scandinavian Journal of Statistics. 10(3). 239–246. 12 indexed citations
20.
Künsch, Hans R.. (1983). Asymptotically unbiased inference for Ising models. Advances in Applied Probability. 15(4). 887–888. 4 indexed citations

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.

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