Raffaele Argiento

32 papers and 324 indexed citations i.

About

Raffaele Argiento is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Raffaele Argiento has authored 32 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Raffaele Argiento’s work include Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods and Inference (6 papers). Raffaele Argiento is often cited by papers focused on Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods and Inference (6 papers). Raffaele Argiento collaborates with scholars based in Italy, United States and United Kingdom. Raffaele Argiento's co-authors include Alessandra Guglielmi, Antonio Pievatolo, Brian Skyrms, Stanislav Volkov, Robin Pemantle, Marina Vannucci, Maria De Iorio, Michele Guindani, Jessica Galloway-Peña and W. Duncan Wadsworth and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Power Systems.

In The Last Decade

Co-authorship network of co-authors of Raffaele Argiento i

Fields of papers citing papers by Raffaele Argiento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raffaele Argiento

Since Specialization
Citations

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