Massimo Quadrana

12 papers and 483 indexed citations i.

About

Massimo Quadrana is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Massimo Quadrana has authored 12 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Massimo Quadrana’s work include Recommender Systems and Techniques (7 papers), Advanced Bandit Algorithms Research (5 papers) and Advanced Graph Neural Networks (3 papers). Massimo Quadrana is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced Bandit Algorithms Research (5 papers) and Advanced Graph Neural Networks (3 papers). Massimo Quadrana collaborates with scholars based in Italy, Austria and Spain. Massimo Quadrana's co-authors include Paolo Cremonesi, Dietmar Jannach, Yashar Deldjoo, Mehdi Elahi, Pietro Piazzolla, Franca Garzotto, Andreu Vall, Gerhard Widmer, Markus Schedl and Ricard Gavaldà and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and International Journal of Multimedia Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Massimo Quadrana i

Fields of papers citing papers by Massimo Quadrana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Quadrana

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025