Sinead A. Williamson

About

Sinead A. Williamson is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Sinead A. Williamson has authored 26 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Sinead A. Williamson’s work include Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Sinead A. Williamson is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Sinead A. Williamson collaborates with scholars based in United States, United Kingdom and Hong Kong. Sinead A. Williamson's co-authors include Eric P. Xing, Katherine Heller, Avinava Dubey, Chong Wang, David M. Blei, Zoubin Ghahramani, Nicholas J. Foti, Molly S. Bray, Ana I. Vázquez and Peter Orbanz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Nutrition and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Sinead A. Williamson i

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Fields of papers citing papers by Sinead A. Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinead A. Williamson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sinead A. Williamson. The network helps show where Sinead A. Williamson may publish in the future.

Countries citing papers authored by Sinead A. Williamson

Since Specialization

Citations

This map shows the geographic impact of Sinead A. Williamson's research. 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 Sinead A. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinead A. Williamson 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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