Scandinavian Journal of Statistics

1.5k papers and 52.3k indexed citations i.

About

The 1.5k papers published in Scandinavian Journal of Statistics in the last decades have received a total of 52.3k indexed citations. Papers published in Scandinavian Journal of Statistics usually cover Statistics and Probability (1.2k papers), Artificial Intelligence (457 papers) and Finance (236 papers) specifically the topics of Statistical Methods and Inference (787 papers), Statistical Methods and Bayesian Inference (532 papers) and Bayesian Methods and Mixture Models (366 papers). The most active scholars publishing in Scandinavian Journal of Statistics are Sture Holm, Anne Chao, Adelchi Azzalini, Ole E. Barndorff–Nielsen, Jesper Møller, Cecilia Mancini, Mathieu Kessler, Rasmus Waagepetersen, Peter X.‐K. Song and Inge S. Helland.

In The Last Decade

Fields of papers published in Scandinavian Journal of Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Scandinavian Journal of 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 Scandinavian Journal of Statistics.

Countries where authors publish in Scandinavian Journal of Statistics

Since Specialization
Citations

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