Sara Magliacane

About

Sara Magliacane is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Sara Magliacane has authored 11 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Sara Magliacane’s work include Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Sara Magliacane is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Sara Magliacane collaborates with scholars based in The Netherlands, United States and Belgium. Sara Magliacane's co-authors include Joris M. Mooij, Tom Claassen, Armando Solar-Lezama, Trong Nghia Hoang, Nathan Hunt, Nathan Fulton, Subhro Das, Paul Groth, Erik Mannens and Sam Coppens and has published in prestigious journals such as Annals of Internal Medicine, Journal of Machine Learning Research and International Journal of Approximate Reasoning.

In The Last Decade

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

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Fields of papers citing papers by Sara Magliacane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Magliacane

Since Specialization

Citations

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