Monica Bianchini

68 papers and 1.5k indexed citations i.

About

Monica Bianchini is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Monica Bianchini has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Molecular Biology and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Monica Bianchini’s work include Neural Networks and Applications (14 papers), Advanced Graph Neural Networks (8 papers) and Computational Drug Discovery Methods (7 papers). Monica Bianchini is often cited by papers focused on Neural Networks and Applications (14 papers), Advanced Graph Neural Networks (8 papers) and Computational Drug Discovery Methods (7 papers). Monica Bianchini collaborates with scholars based in Italy, United Kingdom and India. Monica Bianchini's co-authors include Franco Scarselli, Marco Gori, Marco Maggini, Paolo Frasconi, Paolo Andreini, Alberto Rossi, Simone Bonechi, Lakhmi C. Jain, Gianni Barlacchi and Bruno Lepri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Monica Bianchini i

Fields of papers citing papers by Monica Bianchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Monica Bianchini

Since Specialization
Citations

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