Francesco Colace

62 papers and 600 indexed citations i.

About

Francesco Colace is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Colace has authored 62 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 20 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Colace’s work include Recommender Systems and Techniques (11 papers), Semantic Web and Ontologies (11 papers) and Data Management and Algorithms (7 papers). Francesco Colace is often cited by papers focused on Recommender Systems and Techniques (11 papers), Semantic Web and Ontologies (11 papers) and Data Management and Algorithms (7 papers). Francesco Colace collaborates with scholars based in Italy, United States and Saudi Arabia. Francesco Colace's co-authors include Massimo De Santo, Luca Greco, Marco Lombardi, Vincenzo Moscato, Antonio Picariello, Francesco Pascale, Paolo Napoletano, Domenico Santaniello, Flora Amato and Mario Casillo and has published in prestigious journals such as Computers in Human Behavior, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Francesco Colace i

Fields of papers citing papers by Francesco Colace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Colace

Since Specialization
Citations

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