Statistics Sweden

59.0k citations
2.5k papers ·

Impact in

    • Statistical Methods and Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

Statistics Sweden

2.1k papers receiving 50.7k citations

Peers

Statistics Sweden
Comparison fields: 5 of 248
  • Statistics and Probability 3.9k
  • Finance 3.8k
  • Statistics, Probability and Uncertainty 1.6k
  • Management Science and Operations Research 2.9k
  • Health 1.5k
Replace Växjö Kommun with:
Växjö Kommun Sweden
Institute for Advanced Study Germany
Norwegian Computing Center Norway
Springer Nature (Germany) Germany
Odense Municipality Denmark
Statistics Austria Austria
Research Council of Finland Finland
Statistics Finland Finland
Tampere University of Applied Sciences Finland
University of Ostrava Czechia
Statistics Sweden relative to Växjö Kommun Sweden Växjö Kommun's profile →
Citations per field
00.5×9.2×
Växjö Kommun · 1×
Citations per year

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.

About Statistics Sweden

In recent decades, authors affiliated with Statistics Sweden have published 2.5k papers, which have received a total of 59.0k indexed citations . Scholars at this organization have produced 220 papers in Statistics and Probability, 137 papers in Signal Processing, 146 papers in Management Science and Operations Research, 73 papers in Statistics, Probability and Uncertainty and 76 papers in Health on the topics of Bayesian Methods and Mixture Models (72 papers), Health disparities and outcomes (69 papers), Statistical Methods and Inference (67 papers), Statistical Methods and Bayesian Inference (62 papers), Speech and Audio Processing (60 papers), Financial Risk and Volatility Modeling (60 papers), Advanced Vision and Imaging (57 papers) and Structural Health Monitoring Techniques (56 papers). Their work is cited by papers focused on Statistics and Probability (3.9k citations), Finance (3.8k citations), Statistics, Probability and Uncertainty (1.6k citations), Management Science and Operations Research (2.9k citations) and Health (1.5k citations). Authors at Statistics Sweden collaborate with scholars in Sweden, United States and United Kingdom and have published in prestigious journals including Signal Processing, IEEE Transactions on Signal Processing, Stochastic Processes and their Applications, Social Indicators Research and Demography. Some of Statistics Sweden's most productive authors include Georg Lindgren, Holger Rootzén, M. R. Leadbetter, Igor Rychlik, Fredrik Kahl, Martin Lindström, Søren Asmussen, Andreas Jakobsson, Sven‐Erik Johansson and Richard A. Davis.

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.

Explore institutions with similar magnitude of impact