Giovanni Zappella

13 papers and 103 indexed citations i.

About

Giovanni Zappella is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Giovanni Zappella has authored 13 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 4 papers in Management Science and Operations Research. Recurrent topics in Giovanni Zappella’s work include Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Giovanni Zappella is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Giovanni Zappella collaborates with scholars based in Italy, Germany and Spain. Giovanni Zappella's co-authors include Claudio Gentile, Nicolò Cesa‐Bianchi, Fabio Vitale, Adam Arvidsson, Alessandro Rozza, Matteo Zignani, Elanor Colleoni, Alexandros Karatzoglou, Shuai Li and Purushottam Kar and has published in prestigious journals such as Journal of Machine Learning Research, arXiv (Cornell University) and Research Portal Denmark.

In The Last Decade

Co-authorship network of co-authors of Giovanni Zappella i

Fields of papers citing papers by Giovanni Zappella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giovanni Zappella

Since Specialization
Citations

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