Michele Donini

36 papers and 409 indexed citations i.

About

Michele Donini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Michele Donini has authored 36 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Safety Research. Recurrent topics in Michele Donini’s work include Machine Learning and Data Classification (12 papers), Face and Expression Recognition (9 papers) and Ethics and Social Impacts of AI (7 papers). Michele Donini is often cited by papers focused on Machine Learning and Data Classification (12 papers), Face and Expression Recognition (9 papers) and Ethics and Social Impacts of AI (7 papers). Michele Donini collaborates with scholars based in Italy, United Kingdom and United States. Michele Donini's co-authors include Fabio Aiolli, Massimiliano Pontil, Luca Oneto, John Shawe‐Taylor, Nicolò Navarin, Krishnaram Kenthapadi, Luca Franceschi, Alessandro Sperduti, Muhammad Bilal Zafar and Paolo Frasconi and has published in prestigious journals such as NeuroImage, BMC Bioinformatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Michele Donini i

Fields of papers citing papers by Michele Donini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michele Donini

Since Specialization
Citations

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