World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
11219
World Ranking
6272
National Ranking
2261

Mathematics

D-Index
49
Citations
13833
World Ranking
1121
National Ranking
515

Douglas Nychka 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 Douglas Nychka 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: 150 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Douglas Nychka 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 Douglas Nychka 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: 49 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2002 - Fellow of the American Statistical Association (ASA)

Overview

Douglas Nychka is affiliated with the Colorado School of Mines in the United States. Their research primarily focuses on Environmental Science, with significant contributions in Environmental Engineering, Global and Planetary Change, Artificial Intelligence, Economics and Econometrics, and Atmospheric Science.

The central topics in Nychka's work include:

  • Soil Geostatistics and Mapping
  • Remote Sensing and LiDAR Applications
  • Climate Variability and Models
  • Spatial and Panel Data Analysis
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Geochemistry and Geologic Mapping

Recent publications by Nychka cover a range of themes and methodologies applied to environmental and statistical modeling. Notable papers include:

  • "30 Years of space-time covariance functions", 2020, Wiley Interdisciplinary Reviews Computational Statistics
  • "Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation", 2020, Environmetrics
  • "Fast parameter estimation of generalized extreme value distribution using neural networks", 2024, Environmetrics
  • "Functional forecasting of dissolved oxygen in high-frequency vertical lake profiles", 2022, Environmetrics
  • "A Gaussian Process Model for Insulin Secretion Reconstruction with Uncertainty Quantification: Applications in Cystic Fibrosis", 2023, SIAM Journal on Applied Mathematics

The scientist frequently collaborates with other researchers, including:

  • Soutir Bandyopadhyay
  • Maggie D. Bailey
  • Manajit Sengupta
  • Ashton Wiens
  • William Kleiber

Douglas Nychka's work is often published in several key venues, including:

  • arXiv (Cornell University)
  • Stat
  • Environmetrics
  • Solar Energy
  • Wiley Interdisciplinary Reviews Computational Statistics

In recognition of contributions to the field, Nychka was named a Fellow of the American Statistical Association (ASA) in 2002.

Best Publications

  • Semi-nonparametric maximum likelihood estimation

    A. Ronald Gallant;Douglas W. Nychka

  • Covariance Tapering for Interpolation of Large Spatial Datasets

    Reinhard Furrer;Marc G Genton;Douglas Nychka

  • Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles

    Claudia Tebaldi;Richard L. Smith;Doug Nychka;Linda O. Mearns

  • Statistical significance of trends and trend differences in layer-average atmospheric temperature time series

    B. D. Santer;T. M. L. Wigley;J. S. Boyle;D. J. Gaffen

  • Bayesian Spatial Modeling of Extreme Precipitation Return Levels

    Daniel Cooley;Douglas Nychka;Philippe Naveau

  • Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets

    Cari G. Kaufman;Mark J. Schervish;Douglas W. Nychka

  • Fitting The Term Structure of Interest Rates With Smoothing Splines

    Mark Fisher;Douglas W. Nychka;David Zervos

  • Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds

    Christopher K Wikle;Ralph F Milliff;Doug Nychka;L Mark Berliner

  • Finding chaos in noisy systems

    Douglas Nychka;Stephen Ellner;A. Ronald Gallant;Daniel McCaffrey

  • Bayesian Confidence Intervals for Smoothing Splines

    Douglas Nychka

  • A Case Study Competition Among Methods for Analyzing Large Spatial Data

    Matthew J. Heaton;Abhirup Datta;Andrew O. Finley;Reinhard Furrer

  • Consistency of modelled and observed temperature trends in the tropical troposphere

    B. D. Santer;P. W. Thorne;L. Haimberger;K. E. Taylor

  • A Multi-resolution Gaussian process model for the analysis of large spatial data sets

    Douglas Nychka;Soutir Bandyopadhyay;Dorit Hammerling;Finn Lindgren

  • A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography

    B. W. Silverman;M. C. Jones;J. D. Wilson;D. W. Nychka

  • Exploring fitness surfaces

    Dolph Schluter;Douglas Nychka

  • Bayesian Modeling of Uncertainty in Ensembles of Climate Models

    Richard L. Smith;Claudia Tebaldi;Doug Nychka;Linda O. Mearns

  • Multiresolution models for nonstationary spatial covariance functions

    Douglas Nychka;Christopher Wikle;J Andrew Royle

  • Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations

    C. Tebaldi;L. O. Mearns;D. Nychka;R. L. Smith

  • Spatial analysis to quantify numerical model bias and dependence: How many climate models are there?

    Mikyoung Jun;Reto Knutti;Douglas W Nychka

  • Climate spectra and detecting climate change

    Peter Bloomfield;Douglas Nychka

  • Estimating the Lyapunov Exponent of a Chaotic System with Nonparametric Regression

    Daniel F. McCaffrey;Stephen Ellner;A. Ronald Gallant;Douglas W. Nychka

  • Reliable stereological method for estimating the number of microscopic hepatocellular foci from their transections.

    Thomas D. Pugh;James H. King;Hirofumi Koen;Douglas Nychka

  • The Value of Multiproxy Reconstruction of Past Climate

    Bo Li;Douglas W. Nychka;Caspar M. Ammann

  • Spatial‐Process Estimates as Smoothers

    Douglas W. Nychka

Frequent Co-Authors

Stephen P. Ellner
Stephen P. Ellner Cornell University
A. Ronald Gallant
A. Ronald Gallant Pennsylvania State University
Grace Wahba
Grace Wahba University of Wisconsin–Madison
V. Kerry Smith
V. Kerry Smith Arizona State University
Christopher K. Wikle
Christopher K. Wikle University of Missouri
Bryan T. Grenfell
Bryan T. Grenfell Princeton University
Caspar M. Ammann
Caspar M. Ammann National Center for Atmospheric Research
Gordon B. Bonan
Gordon B. Bonan National Center for Atmospheric Research
Reto Knutti
Reto Knutti ETH Zurich
Gerald A. Meehl
Gerald A. Meehl National Center for Atmospheric Research

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