Journal of Multivariate Analysis

4.6k papers and 85.2k indexed citations i.

About

The 4.6k papers published in Journal of Multivariate Analysis in the last decades have received a total of 85.2k indexed citations. Papers published in Journal of Multivariate Analysis usually cover Statistics and Probability (3.4k papers), Artificial Intelligence (1.2k papers) and Finance (882 papers) specifically the topics of Statistical Methods and Inference (1.9k papers), Advanced Statistical Methods and Models (1.4k papers) and Bayesian Methods and Mixture Models (998 papers). The most active scholars publishing in Journal of Multivariate Analysis are Harry Joe, Roger Koenker, Jack W. Silverstein, Olivier Ledoit, Michael Wolf, C. Radhakrishna Rao, Marina Meilă, Peter Hall, Zhidong Bai and Muni S. Srivastava.

In The Last Decade

Fields of papers published in Journal of Multivariate Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Multivariate 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 Journal of Multivariate Analysis.

Countries where authors publish in Journal of Multivariate Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Multivariate 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 Journal of Multivariate Analysis 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 Multivariate Analysis more than expected).

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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