Pietro Frigo
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 1
- Signal Processing top 5%
- Advanced Malware Detection Techniques 3
- Artificial Intelligence top 5%
- Security and Verification in Computing 4
- Adversarial Robustness in Machine Learning 2
- Cryptographic Implementations and Security 1
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- Distributed systems and fault tolerance 1
- Information Systems top 10%
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- Healthcare Technology and Patient Monitoring 1
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- Advanced Memory and Neural Computing 1
- Co-authors
- Kaveh RazaviCristiano GiuffridaHerbert BosStephan van SchaikSebastian ÖsterlundAlyssa MilburnVictor van der VeenYiğitcan Kaya
- Journals
- VU Research Portal (4 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- NetherlandsSwitzerlandGermany
In The Last Decade
Pietro Frigo
5 papers receiving 347 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 141
- Signal Processing 175
- Artificial Intelligence 299
- Computer Networks and Communications 83
- Information Systems 73
Countries citing papers authored by Pietro Frigo
This map shows the geographic impact of Pietro Frigo'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 Pietro Frigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Frigo more than expected).
Fields of papers citing papers by Pietro Frigo
This network shows the impact of papers produced by Pietro Frigo. 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 Pietro Frigo. The network helps show where Pietro Frigo may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Pietro Frigo, 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 | 58 | |
| 2 | SMASH: Synchronized Many-sided Rowhammer Attacks from JavaScript. | 2021 | 45 |
| 3 | 2019 | 30 | |
| 4 | 2019 | 155 | |
| 5 | 2018 | 90 |
About Pietro Frigo
Pietro Frigo is a scholar working on Signal Processing, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Surgery, having authored 5 papers that have together received 378 indexed citations. Recurring topics across this work include Security and Verification in Computing (4 papers), Advanced Malware Detection Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Distributed systems and fault tolerance (1 paper), Cryptographic Implementations and Security (1 paper), Parallel Computing and Optimization Techniques (1 paper), Healthcare Technology and Patient Monitoring (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Hardware and Architecture (141 citations), Signal Processing (175 citations), Artificial Intelligence (299 citations), Computer Networks and Communications (83 citations) and Information Systems (73 citations). Pietro Frigo has collaborated with scholars based in Netherlands, Switzerland and Germany. Frequent co-authors include Kaveh Razavi, Cristiano Giuffrida, Herbert Bos, Stephan van Schaik, Sebastian Österlund, Alyssa Milburn, Victor van der Veen, Yiğitcan Kaya, Sanghyun Hong and Tudor Dumitraş. Their work appears in journals such as VU Research Portal and arXiv (Cornell University).
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.