Matteo Terzi

12 papers and 206 indexed citations i.

About

Matteo Terzi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Matteo Terzi has authored 12 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Matteo Terzi’s work include Anomaly Detection Techniques and Applications (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (3 papers). Matteo Terzi is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (3 papers). Matteo Terzi collaborates with scholars based in Italy, United States and Switzerland. Matteo Terzi's co-authors include Gian Antonio Susto, Alessandro Beghi, Claudio Cobelli, Chiara Masiero, Simone Del Favero, Angelo Cenedese, Pratik Chaudhari, Alessandro Achille and Ruggero Carli and has published in prestigious journals such as Information Sciences, IEEE Transactions on Control Systems Technology and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Matteo Terzi i

Fields of papers citing papers by Matteo Terzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Terzi

Since Specialization
Citations

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