Marco Maggini

60 papers and 1.0k indexed citations i.

About

Marco Maggini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marco Maggini has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Marco Maggini’s work include Neural Networks and Applications (16 papers), Web Data Mining and Analysis (9 papers) and Advanced Graph Neural Networks (8 papers). Marco Maggini is often cited by papers focused on Neural Networks and Applications (16 papers), Web Data Mining and Analysis (9 papers) and Advanced Graph Neural Networks (8 papers). Marco Maggini collaborates with scholars based in Italy, United States and United Kingdom. Marco Maggini's co-authors include Marco Gori, Lorenzo Sarti, Monica Bianchini, Michelangelo Diligenti, G. Soda, Paolo Frasconi, Franco Scarselli, Lakhmi C. Jain, Bing Liu and Stefano Melacci and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Marco Maggini i

Fields of papers citing papers by Marco Maggini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Maggini

Since Specialization
Citations

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