World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
60536
World Ranking
1634
National Ranking
700

Research.com Recognitions

  • 1988 - Fellow of the American Statistical Association (ASA)

Overview

Sanford Weisberg is affiliated with the University of Minnesota in the United States and specializes in Environmental Science. Their research contributions span several subfields, including Environmental Engineering, Ecology, and Agronomy and Crop Science.

The scientist has published extensively on topics related to Remote Sensing in Agriculture, Soil Geostatistics and Mapping, Remote Sensing and LiDAR Applications, and Crop Yield and Soil Fertility. These topics reflect a focus on advanced technological methods applied to agricultural and environmental studies.

Recent papers authored by Sanford Weisberg include the following:

  • Ground-based optical canopy sensing technologies for corn-nitrogen management in the Upper Midwest, 2020, Agronomy Journal
  • Integrating canopy sensing and soil nitrogen for improved corn nitrogen management, 2020, Agronomy Journal

Frequent collaborators in their research are Gabriel Dias Paiao, Fabián G. Fernández, Jared A. Spackman, and Daniel E. Kaiser. These collaborations have contributed to outcomes published primarily in the Agronomy Journal, which appears as the most common publication venue for Weisberg's work.

Their work in Environmental Science has led to recognition in the form of an award as a Fellow of the American Statistical Association (ASA), granted in 1988.

Best Publications

  • An R Companion to Applied Regression

    Sanford Weisberg;John Fox

  • Least angle regression

    Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

  • Applied Linear Regression

    Sanford Weisberg

  • Residuals and Influence in Regression

    R. Dennis Cook;Sanford Weisberg

  • Applied Linear Regression.

    T. H. Hassard;Sanford Weisberg

  • Diagnostics for heteroscedasticity in regression

    R. Dennis Cook;Sanford Weisberg

  • Plots, transformations, and regression

    Sanford Weisberg

  • Applied Linear Regression (2nd ed.).

    Robert B. Miller;Sanford Weisberg

  • Comments on "Sliced inverse regression for dimension reduction" by K. C. Li

    R. Dennis Cook;Sanford Weisberg

  • An Introduction to Regression Graphics

    R. Dennis Cook;Sanford Weisberg

  • Visualizing Fit and Lack of Fit in Complex Regression Models with Predictor Effect Plots and Partial Residuals

    John Fox;Sanford Weisberg

  • Characterizations of an Empirical Influence Function for Detecting Influential Cases in Regression

    R. Dennis Cook;Sanford Weisberg

  • Computing Science and Statistics

    Sanford Weisberg

  • Robust Regression in R An Appendix to An R Companion to Applied Regression, Second Edition

    John Fox;Sanford Weisberg

  • Residuals and Influence in Regression.

    A. C. Atkinson;R. D. Cook;S. Weisberg

  • Criticism and Influence Analysis in Regression

    R. Dennis Cook;Sanford Weisberg

  • Hypothesis tests for multivariate linear models using the car package

    John Fox;Michael Friendly;Sanford Weisberg

  • Applied Linear Regression, 2nd Edition.

    S. Weisberg

  • Companion to Applied Regression

    John Fox;Sanford Weisberg

  • Adapting for the Missing Link

    Sanford Weisberg;A Welsh

  • Applied Linear Regression

    Charles A. Ingene;Sanford Weisberg

Frequent Co-Authors

R. Dennis Cook
R. Dennis Cook University of Minnesota
Anthony C. Atkinson
Anthony C. Atkinson London School of Economics and Political Science
Donald B. Rubin
Donald B. Rubin Temple University
Pascal Massart
Pascal Massart University of Paris-Saclay
Daniel B. Carr
Daniel B. Carr Tufts University
Saharon Rosset
Saharon Rosset Tel Aviv University
Kenneth G. Hubbard
Kenneth G. Hubbard University of Nebraska–Lincoln
Lee R. DeHaan
Lee R. DeHaan The Land Institute
Fumiaki Katagiri
Fumiaki Katagiri University of Minnesota

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