Bayesian Analysis

24.1k citations
731 papers · indexed · active since 1950
Topics
Statistical Methods and InferenceBayesian Methods and Mixture ModelsStatistical Methods and Bayesian Inference

In The Last Decade

Bayesian Analysis

632 papers receiving 20.3k citations

Peers

Bayesian Analysis
Comparison fields: 5 of 226
  • Statistics and Probability 8.0k
  • Artificial Intelligence 6.5k
  • Atmospheric Science 4.8k
  • Ecology 2.5k
  • Economics and Econometrics 2.2k
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Countries where authors publish in Bayesian Analysis

Since Specialization
Citations

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

Fields of papers published in Bayesian Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Bayesian Analysis. 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 Bayesian Analysis.

About Bayesian Analysis

The 731 papers published in Bayesian Analysis in the last decades have received a total of 24.1k indexed citations . Papers published in Bayesian Analysis usually cover Statistics and Probability (486 papers), Artificial Intelligence (400 papers) and Computational Mathematics (5 papers) specifically the topics of Statistical Methods and Inference (307 papers), Bayesian Methods and Mixture Models (297 papers) and Statistical Methods and Bayesian Inference (280 papers). The most active scholars publishing in Bayesian Analysis are Andrew Gelman, J. Andrés Christen, Maarten Blaauw, John Skilling, James O. Berger, Michael I. Jordan, David M. Blei, Stephen E. Fienberg, Nicholas G. Polson and Mikko J. Sillanpää.

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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