World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
48780
World Ranking
5991
National Ranking
2696

Research.com Recognitions

  • 1992 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1982 - Fellow of the American Statistical Association (ASA)

Overview

William S. Cleveland is affiliated with Purdue University West Lafayette in the United States and has contributed to the field of Environmental Science through multiple research articles. Their research spans topics such as Climate variability and models, Meteorological Phenomena and Simulations, Hydrological Forecasting Using AI, Arctic and Antarctic ice dynamics, Climate change and permafrost, Fault Detection and Control Systems, and Advanced Statistical Process Monitoring.

Their main research fields include Environmental Science, with notable subfields in Atmospheric Science, Global and Planetary Change, Philosophy, Environmental Engineering, and Control and Systems Engineering.

Recent papers authored or co-authored by William S. Cleveland include:

  • Detection Uncertainty Matters for Understanding Atmospheric Rivers (2020), Bulletin of the American Meteorological Society
  • Climatology and decadal changes of Arctic atmospheric rivers based on ERA5 and MERRA-2 (2023), Environmental Research Climate
  • Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence? (2025), Applied Stochastic Models in Business and Industry
  • In Search of the Optimal Atmospheric River Index for US Precipitation: A Multifactorial Analysis (2021), Journal of Geophysical Research Atmospheres
  • On the Analytic Power of Divide & Recombine (D&R) (2021), Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA...)

Their frequent co-authors consist of:

  • Wen-wen Tung
  • Chen Zhang
  • Aritra Chakravorty
  • Patrick J. Wolfe
  • Travis O'Brien

William S. Cleveland has published frequently in venues such as arXiv (Cornell University), Bulletin of the American Meteorological Society, Environmental Research Climate, Applied Stochastic Models in Business and Industry, and the Journal of Geophysical Research Atmospheres.

Among recognitions, William S. Cleveland has been named a Fellow of the American Association for the Advancement of Science (AAAS) in 1992 and a Fellow of the American Statistical Association (ASA) in 1982.

Best Publications

  • Robust Locally Weighted Regression and Smoothing Scatterplots

    William S. Cleveland

  • Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting

    William S. Cleveland;Susan J. Devlin

  • Visualizing Data

    William S. Cleveland

  • Graphical Methods for Data Analysis

    M. J. R. Healy;J. M. Chambers;W. S. Cleveland;B. Kleiner

  • The elements of graphing data

    William S. Cleveland

  • Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods

    William S. Cleveland;Robert McGill

  • Local Regression Models

    William S. Cleveland;Eric Grosse;William M. Shyu

  • LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression

    William S. Cleveland

  • Brushing scatterplots

    Richard A. Becker;William S. Cleveland

  • Regression by local fitting: Methods, properties, and computational algorithms

    William S. Cleveland;Susan J. Devlin;Eric Grosse

  • Graphical Perception and Graphical Methods for Analyzing Scientific Data.

    William S. Cleveland;Robert McGill

  • Smoothing by Local Regression: Principles and Methods

    William S. Cleveland;Clive Loader

  • Computational methods for local regression

    William S. Cleveland;E. Grosse

  • Data science: An action plan for expanding the technical areas of the field of statistics

    William S. Cleveland

  • Dynamic Graphics for Statistics

    William C. Cleveland;Marylyn E. McGill

  • The Visual Design and Control of Trellis Display

    Richard A. Becker;William S. Cleveland;Ming-Jen Shyu

  • The Many Faces of a Scatterplot

    William S. Cleveland;Robert McGill

  • S: An Interactive Environment for Data Analysis and Graphics

    Labs Bell;John M. Chambers;Peter J. Bickel;William S. Cleveland

  • Dynamic Graphics for Data Analysis

    Richard A. Becker;William S. Cleveland;Allan R. Wilks

  • Internet Traffic Tends Toward Poisson and Independent as the Load Increases

    Jin Cao;William S. Cleveland;Dong Lin;Don X. Sun

  • On the nonstationarity of Internet traffic

    Jin Cao;William S. Cleveland;Dong Lin;Don X. Sun

  • The Elements of Graphing Data

    William S. Cleveland

Frequent Co-Authors

Ross Maciejewski
Ross Maciejewski Arizona State University
David S. Ebert
David S. Ebert University of Oklahoma
Mourad Ouzzani
Mourad Ouzzani Qatar Computing Research Institute
Thomas E. Graedel
Thomas E. Graedel Yale University
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Karin D. Rodland
Karin D. Rodland Pacific Northwest National Laboratory
Michael F. Wehner
Michael F. Wehner Lawrence Berkeley National Laboratory
Alexandre M. Ramos
Alexandre M. Ramos University of Lisbon
Stephen M. Kosslyn
Stephen M. Kosslyn Harvard University

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