Wiley Interdisciplinary Reviews Computational Statistics

546 papers and 28.0k indexed citations i.

About

The 546 papers published in Wiley Interdisciplinary Reviews Computational Statistics in the last decades have received a total of 28.0k indexed citations. Papers published in Wiley Interdisciplinary Reviews Computational Statistics usually cover Statistics and Probability (263 papers), Artificial Intelligence (205 papers) and Management Science and Operations Research (64 papers) specifically the topics of Advanced Statistical Methods and Models (126 papers), Statistical Methods and Inference (119 papers) and Statistical Methods and Bayesian Inference (82 papers). The most active scholars publishing in Wiley Interdisciplinary Reviews Computational Statistics are Hervé Abdi, Lynne J. Williams, Jan de Leeuw, Hadley Wickham, Siuli Mukhopadhyay, André I. Khuri, Aylin Alın, Andrew A. Neath, Joseph E. Cavanaugh and Kurt Hornik.

In The Last Decade

Fields of papers published in Wiley Interdisciplinary Reviews Computational Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Wiley Interdisciplinary Reviews Computational Statistics. 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 Wiley Interdisciplinary Reviews Computational Statistics.

Countries where authors publish in Wiley Interdisciplinary Reviews Computational Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in Wiley Interdisciplinary Reviews Computational Statistics. 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 Wiley Interdisciplinary Reviews Computational Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiley Interdisciplinary Reviews Computational Statistics 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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