Paolo Legrenzi

38 papers and 1.3k indexed citations i.

About

Paolo Legrenzi is a scholar working on Artificial Intelligence, General Decision Sciences and Cognitive Neuroscience. According to data from OpenAlex, Paolo Legrenzi has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in General Decision Sciences and 5 papers in Cognitive Neuroscience. Recurrent topics in Paolo Legrenzi’s work include Bayesian Modeling and Causal Inference (9 papers), Decision-Making and Behavioral Economics (9 papers) and Psychology of Moral and Emotional Judgment (5 papers). Paolo Legrenzi is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Decision-Making and Behavioral Economics (9 papers) and Psychology of Moral and Emotional Judgment (5 papers). Paolo Legrenzi collaborates with scholars based in Italy, France and United States. Paolo Legrenzi's co-authors include P. N. Johnson‐Laird, Vittorio Girotto, Antonio Rizzo, Jean-Paul Caverni, Paul Light, Gabriel Mugny, Fabrizio Butera, Juan Antonio Pérez, Jonathan St. B. T. Evans and Jean‐François Bonnefon and has published in prestigious journals such as Science, PLoS ONE and Psychological Review.

In The Last Decade

Co-authorship network of co-authors of Paolo Legrenzi i

Fields of papers citing papers by Paolo Legrenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Legrenzi

Since Specialization
Citations

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