Annual Review of Statistics and Its Application

20.5k citations
258 papers · · active since 2000

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Causal Inference Techniques
    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
    • Bayesian Methods and Mixture Models
    • Advanced Clustering Algorithms Research

Papers in

    • Statistical Methods and Inference 35
    • Advanced Causal Inference Techniques 27
    • Statistical Methods and Bayesian Inference 23
    • Markov Chains and Monte Carlo Methods 14
    • Probability and Statistical Research 10
    • Statistical Distribution Estimation and Applications 9
    • Advanced Statistical Methods and Models 9

Annual Review of Statistics and Its Application

245 papers receiving 19.8k citations

Peers

Annual Review of Statistics and Its Application
Comparison fields: 5 of 234
  • Statistics and Probability 4.1k
  • Artificial Intelligence 4.9k
  • Computational Mathematics 56
  • Management Science and Operations Research 1.4k
  • Health Informatics 122
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Citations per field
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Citations per year

Countries where authors publish in Annual Review of Statistics and Its Application

Since Specialization
Citations

This map shows the geographic impact of research published in Annual Review of Statistics and Its Application. 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 Annual Review of Statistics and Its Application with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annual Review of Statistics and Its Application more than expected).

Fields of papers published in Annual Review of Statistics and Its Application

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Annual Review of Statistics and Its Application. 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 Annual Review of Statistics and Its Application.

About Annual Review of Statistics and Its Application

The 258 papers published in Annual Review of Statistics and Its Application in the last decades have received a total of 20.5k indexed citations . Papers published in Annual Review of Statistics and Its Application usually cover Statistics and Probability (127 papers), Computational Mathematics (2 papers), Management Science and Operations Research (24 papers), Statistics, Probability and Uncertainty (9 papers) and Artificial Intelligence (37 papers) specifically the topics of Statistical Methods and Inference (35 papers), Advanced Causal Inference Techniques (27 papers), Statistical Methods and Bayesian Inference (23 papers), Markov Chains and Monte Carlo Methods (14 papers), Probability and Statistical Research (10 papers), Statistical Distribution Estimation and Applications (9 papers), Advanced Statistical Methods and Models (9 papers) and Gaussian Processes and Bayesian Inference (8 papers). The most active scholars publishing in Annual Review of Statistics and Its Application are Suren I. Rathnayake, Geoffrey John McLachlan, Sharon Lee, Larry Wasserman, Tilmann Gneiting, Matthias Katzfuß, Eric B. Laber, Jeffrey S. Morris, Ruslan Salakhutdinov and Victor M. Panaretos.

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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