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Mathematics
Saudi Arabia
2026

D-Index & Metrics

Mathematics

D-Index
62
Citations
15966
World Ranking
475
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Mathematics in Saudi Arabia Leader Award
  • 2025 - Research.com Mathematics in Saudi Arabia Leader Award
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - Fellow of the American Statistical Association (ASA)

Overview

Marc G. Genton is affiliated with the King Abdullah University of Science and Technology in Saudi Arabia. Their research primarily focuses on environmental science, with significant contributions within related subfields including statistics and probability, environmental engineering, artificial intelligence, economics and econometrics, and global and planetary change.

The main topics covered in their work include soil geostatistics and mapping, spatial and panel data analysis, energy load and power forecasting, statistical distribution estimation and applications, statistical methods and inference, advanced statistical methods and models, and Gaussian processes and Bayesian inference.

Marc G. Genton has published extensively in a variety of venues. Some of their most frequent publication venues are:

  • arXiv (Cornell University)
  • Environmetrics
  • Journal of Computational and Graphical Statistics
  • Journal of Agricultural Biological and Environmental Statistics
  • King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)

Among their recent papers are:

  • "Functional outlier detection and taxonomy by sequential transformations," 2020, Computational Statistics & Data Analysis
  • "A temporal model for vertical extrapolation of wind speed and wind energy assessment," 2021, Applied Energy
  • "Space-Time Covariance Structures and Models," 2020, Annual Review of Statistics and Its Application
  • "Closing the gap between wind energy targets and implementation for emerging countries," 2020, Applied Energy
  • "Recent developments in complex and spatially correlated functional data," 2020, Brazilian Journal of Probability and Statistics

They frequently collaborate with several researchers, including:

  • Ying Sun
  • Sameh Abdulah
  • David E. Keyes
  • Hatem Ltaief
  • Stefano Castruccio

Marc G. Genton has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2012. They are also a Fellow of the American Statistical Association (ASA), a distinction received in 2007.

Best Publications

  • Classes of kernels for machine learning: a statistics perspective

    Marc G. Genton

  • Covariance Tapering for Interpolation of Large Spatial Datasets

    Reinhard Furrer;Marc G Genton;Douglas Nychka

  • Skew-Elliptical Distributions and Their Applications : A Journey Beyond Normality

    Marc. G. Genton

  • Functional Boxplots

    Unknown

  • Geostatistical Space-Time Models, Stationarity, Separability, and Full Symmetry

    Tilmann Gneiting;Marc G. Genton;Peter Guttorp

  • On fundamental skew distributions

    Reinaldo B. Arellano-Valle;Marc G. Genton

  • Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching Space-Time (RST) Method

    Tilmann Gneiting;Kristin Larson;Kenneth Westrick;Marc G Genton

  • Cross-Covariance Functions for Multivariate Geostatistics

    Marc G. Genton;William Kleiber

  • Highly Robust Variogram Estimation

    Marc G. Genton

  • Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch

    Le Xie;Yingzhong Gu;Xinxin Zhu;Marc G. Genton

  • Robust Likelihood Methods Based on the Skew-t and Related Distributions

    Adelchi Azzalini;Marc G. Genton;Marc G. Genton

  • A unified view on skewed distributions arising from selections

    Reinaldo Boris Arellano-Valle;Márcia D. Branco;Marc G. Genton

  • Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression

    Souhaib Ben Taieb;Raphael Huser;Rob J. Hyndman;Marc G. Genton

  • Powering Up With Space-Time Wind Forecasting

    Amanda S. Hering;Marc G. Genton

  • The multivariate skew-slash distribution

    Jing Wang;Marc G. Genton

  • Separable approximations of space‐time covariance matrices

    Marc G. Genton;Marc G. Genton

  • Moments of skew-normal random vectors and their quadratic forms

    Marc G. Genton;Li He;Xiangwei Liu

  • Flexible Class of Skew‐Symmetric Distributions

    Yanyuan Ma;Marc G. Genton

  • Generalized skew-elliptical distributions and their quadratic forms

    Marc G. Genton;Nicola M. R. Loperfido

  • Short‐Term Wind Speed Forecasting for Power System Operations

    Xinxin Zhu;Marc G. Genton

  • Cross-covariance functions for multivariate random fields based on latent dimensions

    Tatiyana V. Apanasovich;Marc G. Genton

Frequent Co-Authors

Ying Sun
Ying Sun King Abdullah University of Science and Technology
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Adelchi Azzalini
Adelchi Azzalini University of Padua
Le Xie
Le Xie Texas A&M University
Elvezio Ronchetti
Elvezio Ronchetti University of Geneva
Kenneth P. Bowman
Kenneth P. Bowman Texas A&M University
Paul D. McNicholas
Paul D. McNicholas McMaster University
Gerald R. North
Gerald R. North Texas A&M University
Andre Lucas
Andre Lucas Vrije Universiteit Amsterdam
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University

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