Francesco Sambo

27 papers and 355 indexed citations i.

About

Francesco Sambo is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Sambo has authored 27 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Sambo’s work include Bayesian Modeling and Causal Inference (6 papers), Advanced Neural Network Applications (4 papers) and Genetic Associations and Epidemiology (3 papers). Francesco Sambo is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Advanced Neural Network Applications (4 papers) and Genetic Associations and Epidemiology (3 papers). Francesco Sambo collaborates with scholars based in Italy, Spain and Belgium. Francesco Sambo's co-authors include Barbara Di Camillo, Claudio Cobelli, Matteo Borrotti, Leonardo Taccari, Kalliopi Mylona, Samuele Salti, Gianna Toffolo, Andrea Facchinetti, Giuseppe Fico and Riccardo Bellazzi and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Francesco Sambo i

Fields of papers citing papers by Francesco Sambo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Sambo

Since Specialization
Citations

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