Pierpaolo De Blasi

27 papers and 337 indexed citations i.

About

Pierpaolo De Blasi is a scholar working on Artificial Intelligence, Statistics and Probability and Neurology. According to data from OpenAlex, Pierpaolo De Blasi has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 6 papers in Neurology. Recurrent topics in Pierpaolo De Blasi’s work include Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Pierpaolo De Blasi is often cited by papers focused on Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Pierpaolo De Blasi collaborates with scholars based in Italy, Austria and United States. Pierpaolo De Blasi's co-authors include Igor Prünster, Antonio Lijoi, Ramsés H. Mena, Matteo Ruggiero, Stefano Favaro, Raffaele Nardone, Eugen Trinka, Frediano Tezzon, Stephen G. Walker and Nils Lid Hjort and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Annals of Statistics and Neuroreport.

In The Last Decade

Co-authorship network of co-authors of Pierpaolo De Blasi i

Fields of papers citing papers by Pierpaolo De Blasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierpaolo De Blasi. 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 Pierpaolo De Blasi. The network helps show where Pierpaolo De Blasi may publish in the future.

Countries citing papers authored by Pierpaolo De Blasi

Since Specialization
Citations

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