Gian Antonio Susto

100 papers and 1.8k indexed citations i.

About

Gian Antonio Susto is a scholar working on Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gian Antonio Susto has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 37 papers in Control and Systems Engineering and 32 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gian Antonio Susto’s work include Anomaly Detection Techniques and Applications (34 papers), Fault Detection and Control Systems (32 papers) and Industrial Vision Systems and Defect Detection (32 papers). Gian Antonio Susto is often cited by papers focused on Anomaly Detection Techniques and Applications (34 papers), Fault Detection and Control Systems (32 papers) and Industrial Vision Systems and Defect Detection (32 papers). Gian Antonio Susto collaborates with scholars based in Italy, United Kingdom and Ireland. Gian Antonio Susto's co-authors include Alessandro Beghi, Seán McLoone, Simone Pampuri, Andrea Schirru, Miroslav Krstić, Matteo Terzi, Marcus Antônio Viana Duarte, Lucas Costa Brito, Jorge Nei Brito and Chiara Masiero and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Gian Antonio Susto i

Fields of papers citing papers by Gian Antonio Susto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gian Antonio Susto

Since Specialization
Citations

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