Francesco Zappa Nardelli
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 19
- Embedded Systems Design Techniques 3
- Software top 5%
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- Distributed systems and fault tolerance 15
- Artificial Intelligence top 2%
- Logic, programming, and type systems 20
- Security and Verification in Computing 7
- Advanced Software Engineering Methodologies 2
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- Formal Methods in Verification 4
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- Software Engineering Research 4
- Co-authors
- Peter SewellSusmit SarkarScott OwensMagnus O. MyreenViktor VafeiadisJan VítekSuresh JagannathanJaroslav Ševčík
- Journals
- ACM SIGPLAN Notices (10 papers)Journal of Functional Programming (2 papers)Journal of the ACM (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Francesco Zappa Nardelli
28 papers receiving 857 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 505
- Software 79
- Computer Networks and Communications 472
- Artificial Intelligence 582
- Computational Theory and Mathematics 216
Countries citing papers authored by Francesco Zappa Nardelli
This map shows the geographic impact of Francesco Zappa Nardelli'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 Francesco Zappa Nardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Zappa Nardelli more than expected).
Fields of papers citing papers by Francesco Zappa Nardelli
This network shows the impact of papers produced by Francesco Zappa Nardelli. 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 Francesco Zappa Nardelli. The network helps show where Francesco Zappa Nardelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Zappa Nardelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 6 | |
| 4 | 2019 | 2 | |
| 5 | 2013 | 4 | |
| 6 | 2013 | 8 | |
| 7 | 2013 | 1 | |
| 8 | 2011 | 32 | |
| 9 | 2010 | 71 | |
| 10 | 2010 | 237 | |
| 11 | 2010 | 76 | |
| 12 | 2010 | 5 | |
| 13 | 2009 | 46 | |
| 14 | Relaxed memory models must be rigorous | 2009 | 10 |
| 15 | 2009 | 16 | |
| 16 | 2009 | 1 | |
| 17 | 2009 | 85 | |
| 18 | 2005 | 36 | |
| 19 | 2005 | 1 | |
| 20 | 2005 | 30 |
About Francesco Zappa Nardelli
Francesco Zappa Nardelli is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Software and Computational Theory and Mathematics, having authored 29 papers that have together received 912 indexed citations. Recurring topics across this work include Logic, programming, and type systems (20 papers), Parallel Computing and Optimization Techniques (19 papers), Distributed systems and fault tolerance (15 papers), Security and Verification in Computing (7 papers), Software Engineering Research (4 papers), Formal Methods in Verification (4 papers), Embedded Systems Design Techniques (3 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Hardware and Architecture (505 citations), Software (79 citations), Computer Networks and Communications (472 citations), Artificial Intelligence (582 citations) and Computational Theory and Mathematics (216 citations). Francesco Zappa Nardelli has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Peter Sewell, Susmit Sarkar, Scott Owens, Magnus O. Myreen, Viktor Vafeiadis, Jan Vítek, Suresh Jagannathan, Jaroslav Ševčík, Jade Alglave and Massimo Merro. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Journal of the ACM, Proceedings of the ACM on Programming Languages and Communications of the ACM.
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.