Fabio Massimo Zanzotto

70 papers and 833 indexed citations i.

About

Fabio Massimo Zanzotto is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Fabio Massimo Zanzotto has authored 70 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Fabio Massimo Zanzotto’s work include Topic Modeling (42 papers), Natural Language Processing Techniques (42 papers) and Advanced Text Analysis Techniques (7 papers). Fabio Massimo Zanzotto is often cited by papers focused on Topic Modeling (42 papers), Natural Language Processing Techniques (42 papers) and Advanced Text Analysis Techniques (7 papers). Fabio Massimo Zanzotto collaborates with scholars based in Italy, United Kingdom and Germany. Fabio Massimo Zanzotto's co-authors include Alessandro Moschitti, Patrizia Ferroni, Noemi Scarpato, Silvia Riondino, Mario Roselli, Marco Pennacchiotti, Francesca Fallucchi, Fiorella Guadagni, Ioannis Korkontzelos and Fiorella Guadagni and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Fabio Massimo Zanzotto i

Fields of papers citing papers by Fabio Massimo Zanzotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Massimo Zanzotto. 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 Fabio Massimo Zanzotto. The network helps show where Fabio Massimo Zanzotto may publish in the future.

Countries citing papers authored by Fabio Massimo Zanzotto

Since Specialization
Citations

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