Journal of the Royal Statistical Society Series B (Statistical Methodology)

3.0k papers and 450.6k indexed citations
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About

The 3.0k papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) in the last decades have received a total of 450.6k indexed citations. Papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) usually cover Statistics and Probability (1.9k papers), Artificial Intelligence (761 papers) and Management Science and Operations Research (524 papers) specifically the topics of Statistical Methods and Inference (962 papers), Statistical Methods and Bayesian Inference (753 papers) and Advanced Statistical Methods and Models (753 papers). The most active scholars publishing in Journal of the Royal Statistical Society Series B (Statistical Methodology) are Yoav Benjamini, Yosef Hochberg, Robert Tibshirani, Donald B. Rubin, N. M. Laird, M. Stone, Simon N. Wood, Trevor Hastie, George E. P. Box and Julian Besag.

In The Last Decade

Journal of the Royal Statistical Society Series B (Statistical Methodology)

2.8k papers receiving 405.9k citations

Fields of papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology).

Countries where authors publish in Journal of the Royal Statistical Society Series B (Statistical Methodology)

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of the Royal Statistical Society Series B (Statistical Methodology). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of the Royal Statistical Society Series B (Statistical Methodology) more than expected).

Controlling the False Discovery Rate: A Practical and... 1972 2026 1990 2008 76.7k
  1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing (1995)
  2. Regression Models and Life-Tables (1972)
  3. Regression Shrinkage and Selection Via the Lasso (1996)
  4. Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm (1977)
  5. Regularization and Variable Selection Via the Elastic Net (2005)
  6. An Analysis of Transformations (1964)
  7. Cross-Validatory Choice and Assessment of Statistical Predictions (1974)
  8. Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models (2010)
  9. A Direct Approach to False Discovery Rates (2002)
  10. Model Selection and Estimation in Regression with Grouped Variables (2005)
  11. Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)
  12. Techniques for Testing the Constancy of Regression Relationships Over Time (1975)
  13. On the Experimental Attainment of Optimum Conditions (1951)
  14. Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations (2009)
  15. Regression Models for Ordinal Data (1980)
  16. Bayesian Calibration of Computer Models (2001)
  17. Regression Shrinkage and Selection via The Lasso: A Retrospective (2011)
  18. L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics (1990)
  19. On the Statistical Analysis of Dirty Pictures (1986)
  20. Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis (1969)
  21. The Statistical Analysis of Compositional Data (1982)
  22. A Note on the Multiplying Factors for Various χ2 Approximations (1954)
  23. Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems (1988)
  24. Probabilistic Principal Component Analysis (1999)
  25. The Determination of the Order of an Autoregression (1979)
  26. Modelling Spatial Patterns (1977)
  27. A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation (1991)
  28. Thin Plate Regression Splines (2003)
  29. Sure Independence Screening for Ultrahigh Dimensional Feature Space (2008)
  30. Finding the Observed Information Matrix When Using the <i>EM</i> Algorithm (1982)
  31. An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)
  32. Sparsity and Smoothness Via the Fused Lasso (2004)
  33. On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion) (1997)
  34. Assessment and Propagation of Model Uncertainty (1995)
  35. A General Definition of Residuals (1968)
  36. Bandit Processes and Dynamic Allocation Indices (1979)
  37. A General Class of Coefficients of Divergence of One Distribution from Another (1966)
  38. A Study of Queues and Appointment Systems in Hospital Out-Patient Departments, with Special Reference to Waiting-Times (1952)

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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