Barbara Pes

25 papers and 514 indexed citations i.

About

Barbara Pes is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Barbara Pes has authored 25 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Barbara Pes’s work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (5 papers) and Face and Expression Recognition (4 papers). Barbara Pes is often cited by papers focused on Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (5 papers) and Face and Expression Recognition (4 papers). Barbara Pes collaborates with scholars based in Italy, Greece and Brazil. Barbara Pes's co-authors include Nicoletta Dessì, Massimo Bartoletti, Andrea Bosin, Daniele Riboni, Andrea Loddo, Marco Manca, Georgia Koutrika, Maurizio Atzori, João C. Diniz da Costa and Cecilia Di Ruberto and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Barbara Pes i

Fields of papers citing papers by Barbara Pes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Barbara Pes

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025