Mila Dalla Preda

26 papers and 254 indexed citations i.

About

Mila Dalla Preda is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mila Dalla Preda has authored 26 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 18 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Mila Dalla Preda’s work include Advanced Malware Detection Techniques (22 papers), Security and Verification in Computing (14 papers) and Software Testing and Debugging Techniques (9 papers). Mila Dalla Preda is often cited by papers focused on Advanced Malware Detection Techniques (22 papers), Security and Verification in Computing (14 papers) and Software Testing and Debugging Techniques (9 papers). Mila Dalla Preda collaborates with scholars based in Italy, United States and Norway. Mila Dalla Preda's co-authors include Roberto Giacobazzi, Saumya Debray, Somesh Jha, Mihai Christodorescu, Federico Maggi, Mariano Ceccato, Stefano Zanero, Christian Collberg, Andrea Continella and Isabella Mastroeni and has published in prestigious journals such as Theoretical Computer Science, Journal of Systems and Software and ACM SIGPLAN Notices.

In The Last Decade

Co-authorship network of co-authors of Mila Dalla Preda i

Fields of papers citing papers by Mila Dalla Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mila Dalla Preda. 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 Mila Dalla Preda. The network helps show where Mila Dalla Preda may publish in the future.

Countries citing papers authored by Mila Dalla Preda

Since Specialization
Citations

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