Fiammetta Marulli

25 papers and 379 indexed citations i.

About

Fiammetta Marulli is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Fiammetta Marulli has authored 25 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Sociology and Political Science. Recurrent topics in Fiammetta Marulli’s work include Adversarial Robustness in Machine Learning (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Topic Modeling (4 papers). Fiammetta Marulli is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Topic Modeling (4 papers). Fiammetta Marulli collaborates with scholars based in Italy, United States and Japan. Fiammetta Marulli's co-authors include Lelio Campanile, Mauro Iacono, Michele Mastroianni, Fabio Martinelli, Francesco Mercaldo, Francesco Piccialli, Marco Gribaudo, Laura Verde, Angelo Chianese and S. Marrone and has published in prestigious journals such as Knowledge-Based Systems, Future Generation Computer Systems and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Fiammetta Marulli i

Fields of papers citing papers by Fiammetta Marulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fiammetta Marulli

Since Specialization
Citations

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