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Why publish with Series A?

Why publish with the Journal of the Royal Statistical Society, Series A (Statistics in Society)

The Journal of the Royal Statistical Society, Series A (Statistics in Society), is an official journal of the Royal Statistical Society (RSS), one of the world’s leading organizations advocating for the importance of statistics and data.

Series A publishes high quality papers that demonstrate how statistical thinking, design, and analyses play a vital role in life and benefit society.

Read on to learn why the Journal of the Royal Statistical Society, Series A (Statistics in Society) is the perfect home for your research.

Publishing with the RSS

As an author in Series A, you will join a prestigious tradition of excellence in statistics scholarship. For over 185 years, the RSS has produced world class publications, with the first RSS journal published in 1838.

Reputation and Reach

  • Our Joint Editors, Bianca De Stavola and Michael Elliott, lead an esteemed team of international editors.
  • Series A’s latest Impact Factor is 2 (Source: Journal Impact Factor™, from Clarivate, 2023), placing the journal 34 out of 125 in the Statistics and Probability category ranking.
  • Series A has a dedicated Twitter account to extend the dissemination and promotion of your research.
  • Article-level metrics are available for all articles published in the journal, allowing you to understand the reach of your research, and the attention it is receiving online.

Range of content

Series A looks at how innovative statistical thinking, design, methods and analyses play a vital role in all walks of life and benefit society. Medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within its remit.

Series A is aimed at a wide statistical audience and at professional statisticians, with no restriction on subject matter. The journal’s emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail.

Discussion Papers

Series A authors are invited to consider submitting papers to be read at a Discussion Meeting of the Royal Statistical Society. These meetings have been held since the Society’s beginnings and are one of the great traditions of the Society. More information, including guidelines for discussion papers and forthcoming discussion papers, is available from the Society’s website.

Rigorous Peer Review

Series A upholds its commitment to academic excellence through a rigorous and meticulous peer review process, ensuring that only the highest quality research makes its way to publication.

Innovative digital publishing 

Your article will be on our Oxford Academic platform, which provides a comprehensive suite of features and capabilities for authors. Oxford Academic is easy to use, allowing readers to discover and explore your content from any device. It has been developed using award-winning technology to meet the community’s research needs. There is powerful faceted searching across text and images, downloadable content to enable offline use, and static DOIs and social tools so that readers can share and discuss your article easily. Readers can also use their own accessibility tools and software, as we continue our work to adhere to evolving accessibility standards, including the World Wide Web Consortium guidelines.

Open Access options

Series A offers open access options for authors who want to make their research freely available to the public. This can help increase the visibility of your research and make it more accessible to a wider audience. The cost of publishing Open Access may be covered under a Read and Publish agreement between OUP and the corresponding author’s institution. Find out if your institution is participating.

Ready to submit?

Please refer to our instructions to authors for more information.

Interested in our other RSS journals?

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