Paola Vicard

25 papers and 219 indexed citations i.

About

Paola Vicard is a scholar working on Artificial Intelligence, Genetics and Statistics and Probability. According to data from OpenAlex, Paola Vicard has authored 25 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Genetics and 6 papers in Statistics and Probability. Recurrent topics in Paola Vicard’s work include Bayesian Modeling and Causal Inference (13 papers), Forensic and Genetic Research (5 papers) and Statistical Methods and Bayesian Inference (5 papers). Paola Vicard is often cited by papers focused on Bayesian Modeling and Causal Inference (13 papers), Forensic and Genetic Research (5 papers) and Statistical Methods and Bayesian Inference (5 papers). Paola Vicard collaborates with scholars based in Italy, United Kingdom and Greece. Paola Vicard's co-authors include Julia Mortera, A. P. Dawid, Maria Francesca Renzi, Roberta Guglielmetti Mugion, Laura Di Pietro, Ioannis Ntzoufras, Steffen L. Lauritzen, Mauro Scanu, Giulia Sacco and Pier Luigi Conti and has published in prestigious journals such as Biometrika, Expert Systems with Applications and Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis.

In The Last Decade

Co-authorship network of co-authors of Paola Vicard i

Fields of papers citing papers by Paola Vicard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Vicard

Since Specialization
Citations

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