Massimo De Santo

57 papers and 618 indexed citations i.

About

Massimo De Santo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Massimo De Santo has authored 57 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Massimo De Santo’s work include Semantic Web and Ontologies (11 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (6 papers). Massimo De Santo is often cited by papers focused on Semantic Web and Ontologies (11 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (6 papers). Massimo De Santo collaborates with scholars based in Italy, United States and Switzerland. Massimo De Santo's co-authors include Francesco Colace, Luca Greco, Antonio Pietrosanto, Marco Lombardi, Consolatina Liguori, Vincenzo Moscato, Antonio Picariello, Paolo Napoletano, Francesco Pascale and Mario Vento and has published in prestigious journals such as Computers in Human Behavior, Pattern Recognition and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Massimo De Santo i

Fields of papers citing papers by Massimo De Santo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo De Santo

Since Specialization
Citations

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