Statistica Neerlandica

1.3k papers and 15.8k indexed citations
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About

The 1.3k papers published in Statistica Neerlandica in the last decades have received a total of 15.8k indexed citations. Papers published in Statistica Neerlandica usually cover Statistics and Probability (638 papers), Management Science and Operations Research (255 papers) and Artificial Intelligence (221 papers) specifically the topics of Statistical Methods and Inference (253 papers), Advanced Statistical Methods and Models (228 papers) and Statistical Methods and Bayesian Inference (217 papers). The most active scholars publishing in Statistica Neerlandica are Richard D. Gill, J. Th. Runnenburg, Cora J. M. Maas, Joop J. Hox, Samarjit Das, Jörg Breitung, Mike Maher, Adrian Baddeley, Laurens de Haan and Jesper Möller.

In The Last Decade

Statistica Neerlandica

1.0k papers receiving 13.4k citations

Fields of papers published in Statistica Neerlandica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistica Neerlandica. 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 Statistica Neerlandica.

Countries where authors publish in Statistica Neerlandica

Since Specialization
Citations

This map shows the geographic impact of research published in Statistica Neerlandica. 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 Statistica Neerlandica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistica Neerlandica 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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2026