Massimo Melucci

71 papers and 539 indexed citations i.

About

Massimo Melucci is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimo Melucci has authored 71 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 32 papers in Information Systems and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimo Melucci’s work include Information Retrieval and Search Behavior (23 papers), Advanced Text Analysis Techniques (14 papers) and Semantic Web and Ontologies (14 papers). Massimo Melucci is often cited by papers focused on Information Retrieval and Search Behavior (23 papers), Advanced Text Analysis Techniques (14 papers) and Semantic Web and Ontologies (14 papers). Massimo Melucci collaborates with scholars based in Italy, United Kingdom and Australia. Massimo Melucci's co-authors include Fábio Crestani, Qiuchi Li, Prayag Tiwari, Christina Lioma, Maristella Agosti, Nicola Ferro, Ricardo Baeza‐Yates, Nicola Orio, Alberto Apostolico and Jian‐Yun Nie and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Massimo Melucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Melucci

Since Specialization
Citations

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