Paola Barra

21 papers and 225 indexed citations i.

About

Paola Barra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Paola Barra has authored 21 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Paola Barra’s work include Face recognition and analysis (8 papers), Face and Expression Recognition (6 papers) and Human Pose and Action Recognition (4 papers). Paola Barra is often cited by papers focused on Face recognition and analysis (8 papers), Face and Expression Recognition (6 papers) and Human Pose and Action Recognition (4 papers). Paola Barra collaborates with scholars based in Italy, Spain and China. Paola Barra's co-authors include Michele Nappi, Carmen Bisogni, Andrea F. Abate, Silvio Barra, Maria De Marsico, Modesto Castrillón-Santana, Stefano Ricciardi, Maurizio Tucci, Chiara Pero and Fabio Narducci and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Paola Barra i

Fields of papers citing papers by Paola Barra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Barra

Since Specialization
Citations

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