Tommaso Dreossi

13 papers and 144 indexed citations i.

About

Tommaso Dreossi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Tommaso Dreossi has authored 13 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Tommaso Dreossi’s work include Adversarial Robustness in Machine Learning (4 papers), Formal Methods in Verification (3 papers) and Gene Regulatory Network Analysis (3 papers). Tommaso Dreossi is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Formal Methods in Verification (3 papers) and Gene Regulatory Network Analysis (3 papers). Tommaso Dreossi collaborates with scholars based in United States, Italy and France. Tommaso Dreossi's co-authors include Sanjit A. Seshia, Alexandre Donzé, Alberto Sangiovanni‐Vincentelli, Xiangyu Yue, Shromona Ghosh, Carla Piazza, Thao Dang, Kurt Keutzer, Daniel J. Fremont and Éric Fanchon and has published in prestigious journals such as Machine Learning, Information and Computation and Journal of Automated Reasoning.

In The Last Decade

Co-authorship network of co-authors of Tommaso Dreossi i

Fields of papers citing papers by Tommaso Dreossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tommaso Dreossi

Since Specialization
Citations

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