James O. Berger

Active 1980–2024

84
Papers
30,085
Citations
54
h-index
80
i10-index

Citations

Citations per year for James O. Berger1980: 3 citations1981: 2 citations1983: 3 citations1984: 1 citations1985: 5 citations1986: 15 citations1987: 15 citations1988: 38 citations1989: 35 citations1990: 57 citations1991: 70 citations1992: 78 citations1993: 59 citations1994: 102 citations1995: 88 citations1996: 167 citations1997: 139 citations1998: 141 citations1999: 178 citations2000: 172 citations2001: 187 citations2002: 174 citations2003: 199 citations2004: 220 citations2005: 269 citations2006: 296 citations2007: 320 citations2008: 376 citations2009: 339 citations2010: 341 citations2011: 409 citations2012: 408 citations2013: 384 citations2014: 435 citations2015: 382 citations2016: 339 citations2017: 319 citations2018: 314 citations2019: 411 citations2020: 433 citations2021: 371 citations2022: 284 citations2023: 226 citations2024: 251 citations2025: 160 citations2026: 40 citations1982: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,804 citing papers, 34.7% of this breakdownUnited Kingdom: 761 citing papers, 9.4% of this breakdownChina: 458 citing papers, 5.7% of this breakdownGermany: 309 citing papers, 3.8% of this breakdownFrance: 307 citing papers, 3.8% of this breakdownCanada: 281 citing papers, 3.5% of this breakdownNetherlands: 269 citing papers, 3.3% of this breakdownAustralia: 255 citing papers, 3.2% of this breakdownItaly: 255 citing papers, 3.2% of this breakdownSpain: 247 citing papers, 3.1% of this breakdownSwitzerland: 171 citing papers, 2.1% of this breakdownJapan: 147 citing papers, 1.8% of this breakdown
0%34.7%Other 22.4%

Fields

  • Computer Science36.6%
  • Mathematics18%
  • Decision Sciences11.8%
  • Engineering7.4%
  • Biochemistry, Genetics and Molecular Biology5.6%
  • Environmental Science3.1%
  • Other17.5%

Topics

  • Statistical Methods and Bayesian Inference5.3%
  • Bayesian Methods and Mixture Models4.9%
  • Statistical Methods and Inference4.5%
  • Bayesian Modeling and Causal Inference4.4%
  • Probabilistic and Robust Engineering Design2.6%
  • Gaussian Processes and Bayesian Inference2.4%
  • Other75.9%

Coauthors

All papers

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  1. Statistical Decision Theory and Bayesian Analysis, Second Edition

    Authors: - Springer series in statistics 1985 cited by 7,800

  2. Optimal predictive model selection

    Authors: , - The Annals of Statistics 2004 cited by 820

  3. A Framework for Validation of Computer Models

    Authors: , , , , , , , - Technometrics 2007 cited by 670

  4. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

    Authors: , - The Annals of Statistics 2010 cited by 599

  5. Modularization in Bayesian analysis, with emphasis on analysis of computer models

    Authors: , , - Bayesian Analysis 2009 cited by 207

  6. Robust Gaussian stochastic process emulation

    Authors: , , - The Annals of Statistics 2018 cited by 101

  7. An overview of robust Bayesian analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Test 1994 cited by 610

  8. The formal definition of reference priors

    Authors: , , - The Annals of Statistics 2009 cited by 401

  9. Robust Bayesian analysis: sensitivity to the prior

    Authors: - Journal of Statistical Planning and Inference 1990 cited by 371

  10. The Intrinsic Bayes Factor for Model Selection and Prediction

    Authors: , - Journal of the American Statistical Association 1996 cited by 970

  11. Integrated likelihood methods for eliminating nuisance parameters

    Authors: , , - Statistical Science 1999 cited by 313

  12. Calibration ofρValues for Testing Precise Null Hypotheses

    Authors: , , - The American Statistician 2001 cited by 857

  13. The case for objective Bayesian analysis

    Authors: - Bayesian Analysis 2006 cited by 743

  14. Three Recommendations for Improving the Use of p -Values

    Authors: , - The American Statistician 2019 cited by 237

  15. Parallel partial Gaussian process emulation for computer models with massive output

    Authors: , - The Annals of Applied Statistics 2016 cited by 116

  16. Coupling Computer Models through Linking Their Statistical Emulators

    Authors: , , - SIAM/ASA Journal on Uncertainty Quantification, SIAM/ASA J. Uncertain. Quantification 2018 cited by 31

  17. Objective Bayesian Analysis of Spatially Correlated Data

    Authors: , , - Journal of the American Statistical Association 2001 cited by 480

  18. Objective Bayesian Methods for Model Selection: Introduction and Comparison

    Authors: , - Lecture notes-monograph series 2001 cited by 366

  19. (1) OPTIMAL PREDICTIVE MODEL SELECTION 1

    Authors: , , - http://ftp.isds.duke.edu/WorkingPapers/02-02.ps 2002 cited by 668

  20. Estimating Shape Constrained Functions Using Gaussian Processes

    Authors: , - SIAM/ASA Journal on Uncertainty Quantification, SIAM/ASA J. Uncertain. Quantification 2016 cited by 79

  21. An exploration of aspects of Bayesian multiple testing

    Authors: , - Journal of Statistical Planning and Inference 2005 cited by 358

  22. Criteria for Bayesian model choice with application to variable selection

    Authors: , , , - The Annals of Statistics 2012 cited by 309

  23. Ockham's Razor and Bayesian Analysis

    Authors: , - American Scientist 1992 cited by 545

  24. Estimation of a Covariance Matrix Using the Reference Prior

    Authors: , - The Annals of Statistics 1994 cited by 289