Giancarlo Sperlì

65 papers and 1.1k indexed citations i.

About

Giancarlo Sperlì is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Giancarlo Sperlì has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 22 papers in Information Systems and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Giancarlo Sperlì’s work include Complex Network Analysis Techniques (17 papers), Spam and Phishing Detection (12 papers) and Topic Modeling (10 papers). Giancarlo Sperlì is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Spam and Phishing Detection (12 papers) and Topic Modeling (10 papers). Giancarlo Sperlì collaborates with scholars based in Italy, United States and China. Giancarlo Sperlì's co-authors include Vincenzo Moscato, Antonio Picariello, Marco Postiglione, Antonio Galli, Aniello De Santo, Christian Esposito, Flora Amato, Elio Masciari, Aniello Castiglione and Carlo Sansone and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Giancarlo Sperlì i

Fields of papers citing papers by Giancarlo Sperlì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giancarlo Sperlì

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025