Sara Wade

19 papers and 345 indexed citations i.

About

Sara Wade is a scholar working on Artificial Intelligence, Statistics and Probability and Physiology. According to data from OpenAlex, Sara Wade has authored 19 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 2 papers in Physiology. Recurrent topics in Sara Wade’s work include Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Sara Wade is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). Sara Wade collaborates with scholars based in United Kingdom, Italy and United States. Sara Wade's co-authors include Zoubin Ghahramani, Sonia Petrone, Stephen G. Walker, Lorenzo Trippa, Graciela Muñiz‐Terrera, Stéphane Bordas, David B. Dunson, David H. Rehkopf, Anja Leist and Anna Caroli and has published in prestigious journals such as Journal of the American Statistical Association, Science Advances and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Co-authorship network of co-authors of Sara Wade i

Fields of papers citing papers by Sara Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Wade. 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 Sara Wade. The network helps show where Sara Wade may publish in the future.

Countries citing papers authored by Sara Wade

Since Specialization
Citations

This map shows the geographic impact of Sara Wade'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 Sara Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Wade 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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2025