Valentina Franzoni

21 papers and 145 indexed citations i.

About

Valentina Franzoni is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Valentina Franzoni has authored 21 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Valentina Franzoni’s work include Complex Network Analysis Techniques (4 papers), Emotion and Mood Recognition (4 papers) and Advanced Graph Neural Networks (3 papers). Valentina Franzoni is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Emotion and Mood Recognition (4 papers) and Advanced Graph Neural Networks (3 papers). Valentina Franzoni collaborates with scholars based in Italy, Hong Kong and India. Valentina Franzoni's co-authors include Alfredo Milani, Osvaldo Gervasi, Jordi Vallverdú, Daniele Nardi, Rajdeep Niyogi, Valentina Poggioni, Rajat Mudgal, Matteo Cinelli, Radosław Niewiadomski and Maurizio Mancini and has published in prestigious journals such as Sensors, IEEE Access and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Valentina Franzoni i

Fields of papers citing papers by Valentina Franzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valentina Franzoni

Since Specialization
Citations

This map shows the geographic impact of Valentina Franzoni'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 Valentina Franzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Franzoni 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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2025