Statistical Methods & Applications

755 papers and 6.1k indexed citations i.

About

The 755 papers published in Statistical Methods & Applications in the last decades have received a total of 6.1k indexed citations. Papers published in Statistical Methods & Applications usually cover Statistics and Probability (386 papers), Economics and Econometrics (197 papers) and Artificial Intelligence (168 papers) specifically the topics of Statistical Methods and Inference (180 papers), Statistical Methods and Bayesian Inference (154 papers) and Advanced Statistical Methods and Models (131 papers). The most active scholars publishing in Statistical Methods & Applications are Christophe Croux, Catherine Dehon, Alessandra Mattei, Maria Iannario, Nicola Salvati, Salvatore Ingrassia, Christian Weiß, Monica Pratesi, H. M. Barakat and Massimiliano Caporin.

In The Last Decade

Fields of papers published in Statistical Methods & Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistical Methods & Applications. 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 Statistical Methods & Applications.

Countries where authors publish in Statistical Methods & Applications

Since Specialization
Citations

This map shows the geographic impact of research published in Statistical Methods & Applications. 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 Statistical Methods & Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistical Methods & Applications 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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2025