Paolo Frasconi

100 papers and 8.0k indexed citations i.

About

Paolo Frasconi is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Paolo Frasconi has authored 100 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 33 papers in Molecular Biology and 13 papers in Computational Theory and Mathematics. Recurrent topics in Paolo Frasconi’s work include Neural Networks and Applications (21 papers), Machine Learning and Algorithms (16 papers) and Protein Structure and Dynamics (16 papers). Paolo Frasconi is often cited by papers focused on Neural Networks and Applications (21 papers), Machine Learning and Algorithms (16 papers) and Protein Structure and Dynamics (16 papers). Paolo Frasconi collaborates with scholars based in Italy, United States and Germany. Paolo Frasconi's co-authors include Yoshua Bengio, P. Simard, Marco Gori, Marco Lippi, Andrea Passerini, G. Soda, Matteo Bertini, Alessandro Vullo, Alessio Ceroni and Alessandro Sperduti and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Paolo Frasconi i

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Fields of papers citing papers by Paolo Frasconi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Frasconi

Since Specialization

Citations

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