Royal Statistical Society

353 papers and 10.0k indexed citations i.

About

In recent decades, authors affiliated with Royal Statistical Society have published 353 papers, which have received a total of 10.0k indexed citations. Scholars at this organization have produced 43 papers in Statistics and Probability, 31 papers in Epidemiology and 29 papers in Cardiology and Cardiovascular Medicine on the topics of Health Systems, Economic Evaluations, Quality of Life (12 papers), Acute Myocardial Infarction Research (11 papers) and Statistical Methods and Inference (10 papers). Their work is cited by papers focused on Surgery (1.4k citations), Epidemiology (1.2k citations) and Oncology (1.1k citations). Authors at Royal Statistical Society collaborate with scholars in United Kingdom, United States and Norway and have published in prestigious journals including Nature, The Lancet and Circulation. Some of Royal Statistical Society's most productive authors include A. E. Ades, Guobing Lu, Martin T. Barlow, Edwin Perkins, Elena Kulinskaya, Bernard V. North, Bertil Damato, David J. Pinato, Rohini Sharma and Fabiana Gordon.

In The Last Decade

Fields of papers published by authors at Royal Statistical Society

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Royal Statistical Society 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 Royal Statistical Society at the time of their publication.

Countries citing scholars working at Royal Statistical Society

Since Specialization
Citations

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