Luca Scrucca

41 papers and 3.6k indexed citations i.

About

Luca Scrucca is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Luca Scrucca has authored 41 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Luca Scrucca’s work include Bayesian Methods and Mixture Models (17 papers), Advanced Clustering Algorithms Research (8 papers) and Gene expression and cancer classification (6 papers). Luca Scrucca is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Advanced Clustering Algorithms Research (8 papers) and Gene expression and cancer classification (6 papers). Luca Scrucca collaborates with scholars based in Italy, United States and Ireland. Luca Scrucca's co-authors include Adrian E. Raftery, Thomas Brendan Murphy, Michael Fop, Annalisa Santucci, Franco Aversa, Philip D. Parker, Joseph Ciarrochi, Baljinder K. Sahdra, Liliana Minelli and Alessandro Gemini and has published in prestigious journals such as Frontiers in Psychology, Journal of Statistical Software and Journal of Sustainable Tourism.

In The Last Decade

Co-authorship network of co-authors of Luca Scrucca i

Fields of papers citing papers by Luca Scrucca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Scrucca

Since Specialization
Citations

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