Computational Statistics

1.6k papers and 17.5k indexed citations
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About

The 1.6k papers published in Computational Statistics in the last decades have received a total of 17.5k indexed citations. Papers published in Computational Statistics usually cover Statistics and Probability (956 papers), Artificial Intelligence (528 papers) and Statistics, Probability and Uncertainty (206 papers) specifically the topics of Statistical Methods and Inference (522 papers), Advanced Statistical Methods and Models (339 papers) and Statistical Methods and Bayesian Inference (335 papers). The most active scholars publishing in Computational Statistics are Jerry Nedelman, Jörg Henseler, Marko Sarstedt, M. P. Wand, Ott Toomet, Arne Henningsen, Philippe Vieu, Guy Mélard, Mohamed Hanafi and Anca M. Hanea.

In The Last Decade

Computational Statistics

1.4k papers receiving 15.7k citations

Fields of papers published in Computational Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Computational Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in 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 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 Computational Statistics more than expected).

Goodness-of-fit indices for partial least squares path modeling 2012 2026 2016 2021 1.1k
  1. Goodness-of-fit indices for partial least squares path modeling (2012)

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