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Hans R. Künsch

Hans R. Künsch

D-Index & Metrics

Mathematics

D-Index
40
Citations
10473
World Ranking
1996
National Ranking
35

Hans R. Künsch publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Hans R. Künsch sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Hans R. Künsch D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Hans R. Künsch sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Hans R. Künsch is affiliated with ETH Zurich in Switzerland and works primarily in the fields of Earth and Planetary Sciences and Environmental Science. Their research includes multiple subfields such as Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Modeling and Simulation, and Economics and Econometrics.

The major topics of their work cover Meteorological Phenomena and Simulations, COVID-19 epidemiological studies, Climate variability and models, Atmospheric and Environmental Gas Dynamics, Cryospheric studies and observations, Arctic and Antarctic ice dynamics, and Marine and fisheries research.

The scientist has published research in several venues, including:

  • Climate Services
  • The Cryosphere
  • Scandinavian Journal of Statistics
  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • arXiv (Cornell University)

Some of their recent papers are:

  • "CH2018 - National climate scenarios for Switzerland: How to construct consistent multi-model projections from ensembles of opportunity" (2020, Climate Services)
  • "Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter" (2021, The Cryosphere)
  • "Robust estimation for discrete-time state space models" (2020, Scandinavian Journal of Statistics)
  • "Hans R Künsch and Fabio Sigrist's contribution to the Discussion of 'The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic'" (2023, Journal of the Royal Statistical Society Series A (Statistics in Society))
  • "Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19" (2025, arXiv (Cornell University))

Their frequent coauthors include:

  • Fabio Sigrist
  • Silje Lund Sørland
  • Andreas M. Fischer
  • Sven Kotlarski
  • Mark A. Liniger

Best Publications

  • The Jackknife and the Bootstrap for General Stationary Observations

    Hans R. Kunsch

  • Gaussian Markov random fields

    H. Kunsch

  • Practical identifiability analysis of large environmental simulation models

    Roland Brun;Peter Reichert;Hans R. Künsch

  • Discrimination between monotonic trends and long-range dependence

    H. Künsch

  • Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models

    Hans R. Künsch;Leonard A. Stefanski;Raymond J. Carroll

  • Particle filters for high-dimensional geoscience applications: A review

    Peter Jan van Leeuwen;Peter Jan van Leeuwen;Hans R Künsch;Lars Nerger;Roland Potthast

  • Recursive Monte Carlo filters: algorithms and theoretical analysis

    Hansruedi Künsch

  • Bayesian multi-model projection of climate: bias assumptions and interannual variability

    Christoph M. Buser;H. R. Künsch;D. Lüthi;M. Wild

  • Block length selection in the bootstrap for time series

    Peter Bühlmann;Hans R. Künsch

  • Second-order correctness of the blockwise bootstrap for stationary observations

    Friedrich Götze;HR Kunsch

  • Edge effects and efficient parameter estimation for stationary random fields

    R. Dahlhaus;H. Künsch

  • Matched-block bootstrap for dependent data

    Edward Carlstein;D. O. Kim-Anh;Peter Hall;T. I.M. Hesterberg

  • Infinitesimal Robustness for Autoregressive Processes

    H. Kunsch

  • On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes

    Jens Ledet Jensen;Hans R. Künsch

  • A dynamic nonstationary spatio-temporal model for short term prediction of precipitation

    Fabio Sigrist;Hans R. Künsch;Werner A. Stahel

  • Intrinsic autoregressions and related models on the two-dimensional lattice

    Hans R. Künsch

  • Stochastic partial differential equation based modelling of large space–time data sets

    Fabio Sigrist;Hans R. Künsch;Werner A. Stahel

  • Climate change projections for Switzerland based on a Bayesian multi‐model approach

    A. M. Fischer;A. P. Weigel;C. M. Buser;R. Knutti

  • Hidden Markov Random Fields

    Hans Kunsch;Stuart Geman;Athanasios Kehagias

  • Approximating and Maximising the Likelihood for a General State-Space Model

    Markus Hürzeler;Hans R. Künsch

  • Decay of correlations under Dobrushin's uniqueness condition and its applications

    H. Künsch

Frequent Co-Authors

Reto Knutti
Reto Knutti ETH Zurich
Sebastian Reich
Sebastian Reich University of Potsdam
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University
Mark A. Liniger
Mark A. Liniger Federal Office of Meteorology and Climatology
Christof Appenzeller
Christof Appenzeller Federal Office of Meteorology and Climatology
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Martin Wild
Martin Wild ETH Zurich
Roman Ashauer
Roman Ashauer University of York

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