Royal Statistical Society
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Ocular Oncology and Treatments
Papers in
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- Statistical Methods and Inference 32
- Statistical Methods and Bayesian Inference 23
- Statistical Methods in Clinical Trials 19
- Statistics Education and Methodologies 16
- Advanced Statistical Methods and Models 16
- Advanced Causal Inference Techniques 13
- Top scholars
- A. E. AdesGuobing LuMartin T. BarlowVernon Todd FarewellEdwin PerkinsBernard V. NorthA. P. DawidMary Corey
- Journals
- Statistics in Medicine (12 papers)Trials (8 papers)PLoS ONE (7 papers)Frontiers in Cardiovascular Medicine (6 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (6 papers)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Royal Statistical Society
407 papers receiving 12.1k citations
Peers
Comparison fields: 5 of 230
- Statistics and Probability 1.2k
- Ophthalmology 644
- Statistics, Probability and Uncertainty 565
- Mathematical Physics 511
- Psychiatry and Mental health 696
Countries citing scholars working at Royal Statistical Society
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).
Fields of papers published by authors at Royal Statistical Society
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.
About Royal Statistical Society
In recent decades, authors affiliated with Royal Statistical Society have published 551 papers, which have received a total of 16.3k indexed citations . Scholars at this organization have produced 93 papers in Statistics and Probability, 3 papers in Health Informatics, 5 papers in Internal Medicine, 38 papers in Economics and Econometrics and 50 papers in Artificial Intelligence on the topics of Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (23 papers), Bayesian Methods and Mixture Models (21 papers), Statistical Methods in Clinical Trials (19 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers), Statistics Education and Methodologies (16 papers), Advanced Statistical Methods and Models (16 papers) and Advanced Causal Inference Techniques (13 papers). Their work is cited by papers focused on Statistics and Probability (1.2k citations), Ophthalmology (644 citations), Statistics, Probability and Uncertainty (565 citations), Mathematical Physics (511 citations) and Psychiatry and Mental health (696 citations). Authors at Royal Statistical Society collaborate with scholars in United Kingdom, United States and Norway and have published in prestigious journals including Statistics in Medicine, Trials, PLoS ONE, Frontiers in Cardiovascular Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology). Some of Royal Statistical Society's most productive authors include A. E. Ades, Guobing Lu, Martin T. Barlow, Vernon Todd Farewell, Edwin Perkins, Bernard V. North, A. P. Dawid, Mary Corey, Elena Kulinskaya and Rumana Omar.
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.