Loris D’Antoni
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
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- Teaching and Learning Programming
Papers in
- Software 33
- Software Testing and Debugging Techniques 29
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- Logic, programming, and type systems 24
- Machine Learning and Algorithms 16
- Co-authors
- Margus Veanes (17 shared papers)Rajeev Alur (8 shared papers)Aws Albarghouthi (8 shared papers)Rishabh Kumar Singh (4 shared papers)Roopsha Samanta (2 shared papers)Björn Hartmann (5 shared papers)Lorenzo Bettini (1 shared paper)Nobuko Yoshida (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (10 papers)ACM SIGPLAN Notices (8 papers)Lecture notes in computer science (20 papers)Communications of the ACM (2 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Loris D’Antoni
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 61
- Software 446
- Computer Science Applications 180
- Computational Theory and Mathematics 508
- Hardware and Architecture 208
- Artificial Intelligence 905
Countries citing papers authored by Loris D’Antoni
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).
Fields of papers citing papers by Loris D’Antoni
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.
Co-authors
The 25 scholars most cited alongside Loris D’Antoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 153 | |
| 2 | 2017 | 104 | |
| 3 | 2016 | 82 | |
| 4 | 2017 | 79 | |
| 5 | 2014 | 65 | |
| 6 | 2013 | 51 | |
| 7 | 2017 | 43 | |
| 8 | 2016 | 40 | |
| 9 | 2017 | 39 | |
| 10 | 2016 | 35 | |
| 11 | Automated grading of DFA constructions | 2013 | 35 |
| 12 | 2015 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2016 | 30 | |
| 15 | Operating system support for augmented reality applications | 2013 | 30 |
| 16 | 2018 | 26 | |
| 17 | 2012 | 26 | |
| 18 | 2021 | 26 | |
| 19 | 2013 | 25 | |
| 20 | 2017 | 24 |
About Loris D’Antoni
Loris D’Antoni is a scholar working on Software, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Hardware and Architecture, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (29 papers), Formal Methods in Verification (24 papers), Logic, programming, and type systems (24 papers), Software Engineering Research (22 papers), Machine Learning and Algorithms (16 papers), semigroups and automata theory (15 papers), Software-Defined Networks and 5G (10 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Software (446 citations), Computer Science Applications (180 citations), Computational Theory and Mathematics (508 citations), Hardware and Architecture (208 citations) and Artificial Intelligence (905 citations). Loris D’Antoni has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Margus Veanes, Rajeev Alur, Aws Albarghouthi, Rishabh Kumar Singh, Roopsha Samanta, Björn Hartmann, Lorenzo Bettini, Nobuko Yoshida, Mariangiola Dezani-Ciancaglini and Aditya Akella. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Lecture notes in computer science, Communications of the ACM and ACM SIGMETRICS Performance Evaluation Review.
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.