World's Best Scientists 2026 revealed!
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Mathematics
Australia
2026

D-Index & Metrics

Mathematics

D-Index
84
Citations
69901
World Ranking
106
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Mathematics in Australia Leader Award
  • 2025 - Research.com Mathematics in Australia Leader Award
  • 2023 - Research.com Mathematics in Australia Leader Award
  • 2018 - Fellow of the Australian Academy of Science
  • 1986 - Fellow of the American Statistical Association (ASA)

Overview

Noel A Cressie is affiliated with the University of Wollongong in Australia and is active in the field of Environmental Science. Their research spans multiple subfields including Global and Planetary Change, Environmental Engineering, Atmospheric Science, Artificial Intelligence, and Statistics and Probability.

The scientist's work covers a range of main topics related to atmospheric and environmental processes, including Atmospheric and Environmental Gas Dynamics, Soil Geostatistics and Mapping, Geochemistry and Geologic Mapping, Spatial and Panel Data Analysis, Atmospheric Ozone and Climate, Hydrocarbon Exploration and Reservoir Analysis, and Climate Variability and Models.

Recent papers by Noel A Cressie and frequently associated coauthors highlight contributions to spatial statistics and environmental data analysis. Some notable publications include:

  • National CO 2 Budgets (2015-2020) Inferred from Atmospheric CO 2 Observations in Support of the Global Stocktake, 2023, Earth System Science Data
  • FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets, 2021, Journal of Statistical Software
  • Basis-Function Models in Spatial Statistics, 2021, Annual Review of Statistics and Its Application
  • Emergent Constraints on Tropical Atmospheric Aridity-Carbon Feedbacks and the Future of Carbon Sequestration, 2021, Environmental Research Letters
  • Bayesian Inference of Spatio-Temporal Changes of Arctic Sea Ice, 2020, Bayesian Analysis

Frequent coauthors of Noel A Cressie include:

  • Andrew Zammit-Mangion
  • Michael Bertolacci
  • Josh Jacobson
  • A. E. Schuh
  • Jenny A. Fisher

The most common venues for publication include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Spatial Statistics
  • Journal of Statistical Software
  • Japanese Journal of Statistics and Data Science

Among their recognitions, Noel A Cressie has been named a Fellow of the Australian Academy of Science in 2018 and a Fellow of the American Statistical Association in 1986.

Best Publications

  • Statistics for spatial data

    Noel A. C. Cressie;Noel A. C. Cressie

  • Statistics for Spatial Data, Revised Edition.

    N. A. C. Cressie

  • Statistics for Spatio-Temporal Data

    Noel A. C. Cressie;Christopher K. Wikle

  • The origins of kriging

    Noel A Cressie

  • Multinomial goodness-of-fit tests

    Noel Cressie;Timothy R.C. Read;Timothy R.C. Read

  • Fitting variogram models by weighted least squares

    Noel A Cressie

  • Goodness-of-Fit Statistics for Discrete Multivariate Data

    Timothy R. C. Read;Noel A. C. Cressie

  • Spatial prediction and ordinary kriging

    Noel A Cressie

  • Robust estimation of the variogram: I

    Noel Cressie;Douglas M. Hawkins

  • Fixed rank kriging for very large spatial data sets

    Noel A Cressie;Gardar Johannesson

  • Classes of nonseparable, spatio-temporal stationary covariance functions

    Noel A Cressie;Hsincheng Huang

  • Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling

    Noel Cressie;Catherine A. Calder;James S. Clark;Jay M. Ver Hoef

  • Beyond Moran's I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model

    Hongfei Li;Catherine A. Calder;Noel Cressie

  • A dimension-reduced approach to space-time Kalman filtering

    Christopher Wikle;Noel A Cressie

  • Hierarchical Bayesian space-time models

    Christopher Wikle;L M Berliner;Noel A Cressie

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Spatial Modeling of Regional Variables

    Noel Cressie;Ngai H. Chan

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Kriging Nonstationary Data

    Noel A Cressie

  • A method for evaluating bias in global measurements of CO 2 total columns from space

    D. Wunch;P. O. Wennberg;G. C. Toon;B. J. Connor

  • Statistics for Spatial Data.

    R. M. Cormack;N. Cressie

  • Statistics for Spatial Data.

    A. Lawson;N. Cressie

Frequent Co-Authors

Christopher K. Wikle
Christopher K. Wikle University of Missouri
Dianne Cook
Dianne Cook Monash University
Nageswara S. V. Rao
Nageswara S. V. Rao Oak Ridge National Laboratory
Anna M. Michalak
Anna M. Michalak Stanford University
Peter T. Harris
Peter T. Harris University of Tasmania
Kenneth C. Jezek
Kenneth C. Jezek The Ohio State University
Debra Wunch
Debra Wunch University of Toronto
Dietrich Stoyan
Dietrich Stoyan TU Bergakademie Freiberg
Anthony C. Atkinson
Anthony C. Atkinson London School of Economics and Political Science
Anthony O'Hagan
Anthony O'Hagan University of Sheffield

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