World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
22399
World Ranking
873
National Ranking
420

Research.com Recognitions

  • 1993 - Fellow of the American Academy of Arts and Sciences
  • 1985 - Fellow of the Royal Society of Canada Academy of Science
  • 1983 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1983 - Wald Memorial Lecturer
  • 1982 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1975 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1972 - Fellow of the American Statistical Association (ASA)

Overview

David R. Brillinger is affiliated with the University of California, Berkeley in the United States. Their professional focus is characterized by recognition within prestigious scientific communities, as reflected by multiple fellowships and awards spanning several decades.

Among the honors received by David R. Brillinger are:

  • Fellow of the American Academy of Arts and Sciences (1993)
  • Fellow of the Royal Society of Canada, Academy of Science (1985)
  • Wald Memorial Lecturer (1983)
  • Fellow of the American Association for the Advancement of Science (AAAS) (1983)
  • Fellow of John Simon Guggenheim Memorial Foundation (twice awarded in 1975 and 1982)
  • Fellow of the American Statistical Association (ASA) (1972)

This collection of fellowships indicates sustained recognition by leading scientific and academic institutions in North America. The years in which these distinctions were bestowed span from the early 1970s through the early 1990s, signaling a long-standing active career within the scientific community.

David R. Brillinger's contributions are documented through their association with the University of California, Berkeley, a major research university known for impactful work in various scientific disciplines.

No specific details on research topics, publication venues, frequent co-authors, or exact titles of papers have been provided, limiting the ability to outline precise areas of research focus. Similarly, there is no available data on book publications or subfields of study.

Nonetheless, the fellowships and awards highlight a career intertwined with statistical science and scientific advancement, as the affiliations include notable organizations such as the American Statistical Association and the American Association for the Advancement of Science. The multiple fellowships from the John Simon Guggenheim Memorial Foundation suggest involvement in scholarly work requiring competitive recognition.

As David R. Brillinger is not deceased, current and ongoing contributions to their field may be expected, although no recent papers are listed. The profile reflects a professional trajectory marked by formal acknowledgment from prominent academic societies over several decades.

Best Publications

  • Time Series: Data Analysis and Theory

    David R. Brillinger

  • Multivariate Statistical Methods

    David R. Brillinger;D. F. Morrison

  • Time Series: Data Analysis and Theory

    W. D. Ray;David Brillinger

  • Multivariate Procedures for the Behavioral Sciences.

    David R. Brillinger;W. W. Cooley;P. R. Lohnes

  • An Introduction to Polyspectra

    David R. Brillinger

  • ASYMPTOTIC THEORY OF ESTIMATES OF kTH-ORDER SPECTRA

    D. R. Brillinger;M. Rosenblatt

  • The natural variability of vital rates and associated statistics.

    David R. Brillinger

  • Probability based models for estimation of wildfire risk

    Haiganoush K. Preisler;David R. Brillinger;Robert E. Burgan;J. W. Benoit

  • Maximum Likelihood Analysis of Spike Trains of Interacting Nerve Cells

    Brillinger Dr

  • A Generalized Linear Model With “Gaussian” Regressor Variables

    David R. Brillinger

  • The spectral analysis of stationary interval functions

    David R. Brillinger

  • Identification of synaptic interactions

    David R. Brillinger;Hugh L. Bryant;José P. Segundo

  • An exploratory analysis of the Joyner-Boore attenuation data

    David R. Brillinger;Haiganoush K. Preisler

  • The Identification of Point Process Systems

    David R. Brillinger

  • The identification of polynomial systems by means of higher order spectra

    D.R. Brillinger

  • A PROBABILITY MODEL FOR REGIONAL FOCAL MECHANISM SOLUTIONS

    D. R. Brillinger;A. Udias;B. A. Bolt

  • The identification of a particular nonlinear time series system

    David R. Brillinger

  • Statistical Inference for Stationary Point Processes

    David R. Brillinger

  • Nerve Cell Spike Train Data Analysis: A Progression of Technique

    David R. Brillinger

  • Asymptotic properties of spectral estimates of second order

    David R. Brillinger

Frequent Co-Authors

Haiganoush K. Preisler
Haiganoush K. Preisler US Forest Service
Bruce A. Bolt
Bruce A. Bolt University of California, Berkeley
John W. Tukey
John W. Tukey Princeton University
Rafael A. Irizarry
Rafael A. Irizarry Harvard University
Dennis M. Levi
Dennis M. Levi University of California, Berkeley
Murad S. Taqqu
Murad S. Taqqu Boston University
Kerry E Sieh
Kerry E Sieh Nanyang Technological University
Murray Rosenblatt
Murray Rosenblatt University of California, San Diego
Mark A. Finney
Mark A. Finney US Forest Service
Alessandro E. P. Villa
Alessandro E. P. Villa University of Lausanne

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