Sarah Depaoli

63 papers and 2.5k indexed citations i.

About

Sarah Depaoli is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sarah Depaoli has authored 63 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in Sarah Depaoli’s work include Statistical Methods and Bayesian Inference (32 papers), Statistical Methods and Inference (12 papers) and Bayesian Methods and Mixture Models (10 papers). Sarah Depaoli is often cited by papers focused on Statistical Methods and Bayesian Inference (32 papers), Statistical Methods and Inference (12 papers) and Bayesian Methods and Mixture Models (10 papers). Sarah Depaoli collaborates with scholars based in United States, The Netherlands and South Africa. Sarah Depaoli's co-authors include Rens van de Schoot, Sonja D. Winter, Marit Sijbrandij, Jeroen K. Vermunt, Mariëlle Zondervan‐Zwijnenburg, Jitske Tiemensma, Mahlet G. Tadesse, Andrew Gelman, Kaspar Märtens and Duco Veen and has published in prestigious journals such as PLoS ONE, Journal of Consulting and Clinical Psychology and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Sarah Depaoli i

Fields of papers citing papers by Sarah Depaoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Depaoli

Since Specialization
Citations

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