Fábio Crestani

143 papers and 1.8k indexed citations i.

About

Fábio Crestani is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Fábio Crestani has authored 143 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 65 papers in Information Systems and 23 papers in Signal Processing. Recurrent topics in Fábio Crestani’s work include Information Retrieval and Search Behavior (34 papers), Topic Modeling (33 papers) and Semantic Web and Ontologies (21 papers). Fábio Crestani is often cited by papers focused on Information Retrieval and Search Behavior (34 papers), Topic Modeling (33 papers) and Semantic Web and Ontologies (21 papers). Fábio Crestani collaborates with scholars based in Switzerland, United Kingdom and Italy. Fábio Crestani's co-authors include Anastasia Giachanou, Mohammad Aliannejadi, C. J. van Rijsbergen, Gabriella Pasi, Dimitrios Rafailidis, Mounia Lalmas, Cornelis J. van Rijsbergen, Massimo Melucci, Maristella Agosti and Shengli Wu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Fábio Crestani i

Fields of papers citing papers by Fábio Crestani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fábio Crestani

Since Specialization
Citations

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