Annual Review of Statistics and Its Application

About

The 235 papers published in Annual Review of Statistics and Its Application in the last decades have received a total of 14.4k indexed citations. Papers published in Annual Review of Statistics and Its Application usually cover Statistics and Probability (99 papers), Artificial Intelligence (75 papers) and Management Science and Operations Research (28 papers) specifically the topics of Statistical Methods and Inference (47 papers), Statistical Methods and Bayesian Inference (45 papers) and Advanced Causal Inference Techniques (30 papers). The most active scholars publishing in Annual Review of Statistics and Its Application are Geoffrey J. McLachlan, Tilmann Gneiting, Matthias Katzfuß, Larry Wasserman, Jeffrey S. Morris, Ruslan Salakhutdinov, Eric B. Laber, Victor M. Panaretos, Yoav Zemel and Hongzhe Li.

In The Last Decade

Annual Review of Statistics and Its Application

214 papers receiving 13.8k citations

Peers

Annual Review of Statistics and Its Application
Comparison fields: 5 of 236
  • Artificial Intelligence 4.3k
  • Statistics and Probability 3.3k
  • Economics and Econometrics 1.2k
  • Molecular Biology 1.2k
  • Computer Vision and Pattern Recognition 964
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Citations per field, relative to Annual Review of Statistics and Its Application
Annual Review of Statistics and Its Application · 1×
Citations per year, relative to Annual Review of Statistics and Its Application
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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.

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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2026