Statistics Sweden

2.2k papers and 49.9k indexed citations

About

In recent decades, authors affiliated with Statistics Sweden have published 2.2k papers, which have received a total of 49.9k indexed citations. Scholars at this organization have produced 213 papers in Statistics and Probability, 173 papers in Artificial Intelligence and 137 papers in Computer Vision and Pattern Recognition on the topics of Health disparities and outcomes (89 papers), Bayesian Methods and Mixture Models (69 papers) and Statistical Methods and Inference (63 papers). Their work is cited by papers focused on Economics and Econometrics (4.0k citations), Statistics and Probability (3.6k citations) and Molecular Biology (3.6k citations). Authors at Statistics Sweden collaborate with scholars in Sweden, United States and United Kingdom and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Statistics Sweden's most productive authors include Georg Lindgren, Holger Rootzén, M. R. Leadbetter, Igor Rychlik, Martin Lindström, Søren Asmussen, Andreas Jakobsson, Fredrik Kahl, Sven‐Erik Johansson and Ulf Grenander.

In The Last Decade

Statistics Sweden

2.0k papers receiving 47.3k citations

Countries citing scholars working at Statistics Sweden

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Statistics Sweden. 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 produced at Statistics Sweden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics Sweden more than expected).

Fields of papers published by authors at Statistics Sweden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Statistics Sweden at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Statistics Sweden at the time of their publication.

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