Loris D’Antoni

35 papers and 337 indexed citations i.

About

Loris D’Antoni is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Loris D’Antoni has authored 35 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Information Systems and 15 papers in Software. Recurrent topics in Loris D’Antoni’s work include Software Testing and Debugging Techniques (14 papers), Software Engineering Research (13 papers) and Logic, programming, and type systems (11 papers). Loris D’Antoni is often cited by papers focused on Software Testing and Debugging Techniques (14 papers), Software Engineering Research (13 papers) and Logic, programming, and type systems (11 papers). Loris D’Antoni collaborates with scholars based in United States, United Kingdom and Brazil. Loris D’Antoni's co-authors include Sumit Gulwani, Margus Veanes, Aws Albarghouthi, Björn Hartmann, Gustavo Soares, Rajeev Alur, Rohit Gheyi, Ryo Suzuki, Oleksandr Polozov and Aditya V. Nori and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and ACM Transactions on Database Systems.

In The Last Decade

Co-authorship network of co-authors of Loris D’Antoni i

Fields of papers citing papers by Loris D’Antoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Loris D’Antoni. 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 Loris D’Antoni. The network helps show where Loris D’Antoni may publish in the future.

Countries citing papers authored by Loris D’Antoni

Since Specialization
Citations

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