Laura Anderlucci

23 papers and 249 indexed citations i.

About

Laura Anderlucci is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Laura Anderlucci has authored 23 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Laura Anderlucci’s work include Bayesian Methods and Mixture Models (8 papers), Advanced Clustering Algorithms Research (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Laura Anderlucci is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Advanced Clustering Algorithms Research (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Laura Anderlucci collaborates with scholars based in Italy, United States and United Kingdom. Laura Anderlucci's co-authors include Cinzia Viroli, Cristian Taccioli, Silvio Bicciato, Christian Hennig, Domenico Beneventano, Marco L. Lolli, Alessandro Zannini, Giovanni Sorrentino, Angela Montanari and Giannino Del Sal and has published in prestigious journals such as American Heart Journal, The Annals of Thoracic Surgery and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Laura Anderlucci i

Fields of papers citing papers by Laura Anderlucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Anderlucci

Since Specialization
Citations

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