Bruno Sansó

38 papers and 941 indexed citations i.

About

Bruno Sansó is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Bruno Sansó has authored 38 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 8 papers in Economics and Econometrics. Recurrent topics in Bruno Sansó’s work include Statistical Methods and Bayesian Inference (12 papers), Bayesian Methods and Mixture Models (9 papers) and Statistical Methods and Inference (8 papers). Bruno Sansó is often cited by papers focused on Statistical Methods and Bayesian Inference (12 papers), Bayesian Methods and Mixture Models (9 papers) and Statistical Methods and Inference (8 papers). Bruno Sansó collaborates with scholars based in United States, Venezuela and United Kingdom. Bruno Sansó's co-authors include James O. Berger, Victor De Oliveira, Gabriel Huerta, Athanasios Kottas, Peter Müller, Maria De Iorio, Lelys Bravo de Guenni, Jonathan Stroud, Luis R. Pericchi and Keith R. Abrams and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Bruno Sansó i

Fields of papers citing papers by Bruno Sansó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bruno Sansó

Since Specialization
Citations

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