Fabrí­cio Benevenuto

77 papers and 3.3k indexed citations i.

About

Fabrí­cio Benevenuto is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fabrí­cio Benevenuto has authored 77 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Sociology and Political Science, 35 papers in Information Systems and 31 papers in Artificial Intelligence. Recurrent topics in Fabrí­cio Benevenuto’s work include Spam and Phishing Detection (30 papers), Misinformation and Its Impacts (24 papers) and Social Media and Politics (20 papers). Fabrí­cio Benevenuto is often cited by papers focused on Spam and Phishing Detection (30 papers), Misinformation and Its Impacts (24 papers) and Social Media and Politics (20 papers). Fabrí­cio Benevenuto collaborates with scholars based in Brazil, Germany and United States. Fabrí­cio Benevenuto's co-authors include Krishna P. Gummadi, Meeyoung Cha, Hamed Haddadi, Marcos André Gonçalves, Filipe Nunes Ribeiro, Matheus Araújo, Adriano Veloso, Jussara M. Almeida, Saptarshi Ghosh and Júlio C. S. Reis and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Fabrí­cio Benevenuto i

Fields of papers citing papers by Fabrí­cio Benevenuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrí­cio Benevenuto

Since Specialization
Citations

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