Salvatore Ingrassia

About

Salvatore Ingrassia is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Salvatore Ingrassia has authored 45 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Statistics and Probability and 5 papers in Signal Processing. Recurrent topics in Salvatore Ingrassia’s work include Bayesian Methods and Mixture Models (30 papers), Statistical Methods and Bayesian Inference (16 papers) and Statistical Methods and Inference (11 papers). Salvatore Ingrassia is often cited by papers focused on Bayesian Methods and Mixture Models (30 papers), Statistical Methods and Bayesian Inference (16 papers) and Statistical Methods and Inference (11 papers). Salvatore Ingrassia collaborates with scholars based in Italy, United States and Canada. Salvatore Ingrassia's co-authors include Antonio Punzo, Simona C. Minotti, Roberto Rocci, Giorgio Vittadini, Francesca Greselin, Paul D. McNicholas, Sanjeena Subedi, Agustín Mayo-Íscar, Maurizio Vichi and Luis Ángel García-Escudero and has published in prestigious journals such as Technometrics, Astronomy and Astrophysics and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Salvatore Ingrassia i

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Fields of papers citing papers by Salvatore Ingrassia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salvatore Ingrassia

Since Specialization

Citations

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