Antonio Gullì

9 papers and 174 indexed citations i.

About

Antonio Gullì is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases. According to data from OpenAlex, Antonio Gullì has authored 9 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Infectious Diseases. Recurrent topics in Antonio Gullì’s work include COVID-19 Clinical Research Studies (3 papers), Web Data Mining and Analysis (3 papers) and Complex Network Analysis Techniques (2 papers). Antonio Gullì is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Web Data Mining and Analysis (3 papers) and Complex Network Analysis Techniques (2 papers). Antonio Gullì collaborates with scholars based in Italy. Antonio Gullì's co-authors include Gianna M. Del Corso, Francesco Romani, Paolo Ferragina, Massimo Antonelli, Enrico Celestino Nista, Antonio Gasbarrini, Veronica Ojetti, Marcello Candelli, Angela Saviano and Giulia Pignataro and has published in prestigious journals such as Current Medicinal Chemistry, Cancers and Journal of Computational and Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Antonio Gullì i

Fields of papers citing papers by Antonio Gullì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonio Gullì

Since Specialization
Citations

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