Claudio Canella
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Security and Verification in Computing 8
-
- Advanced Malware Detection Techniques 4
- Co-authors
- Daniel Gruss (8 shared papers)Michael Schwarz (6 shared papers)Moritz Lipp (4 shared papers)Frank Piessens (2 shared papers)Jo Van Bulck (2 shared papers)David Oswald (1 shared paper)Marina Minkin (1 shared paper)Daniel Genkin (1 shared paper)
- Journals
- EGU General Assembly Conference Abstracts (1 paper)Figshare (2 papers)Lirias (KU Leuven) (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Claudio Canella
9 papers receiving 364 citations
Peers
Comparison fields: 5 of 17
- Hardware and Architecture 142
- Signal Processing 199
- Artificial Intelligence 325
- Computer Networks and Communications 69
- Information Systems 62
Countries citing papers authored by Claudio Canella
This map shows the geographic impact of Claudio Canella'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 Claudio Canella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Canella more than expected).
Fields of papers citing papers by Claudio Canella
This network shows the impact of papers produced by Claudio Canella. 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 Claudio Canella. The network helps show where Claudio Canella may publish in the future.
Co-authors
The 18 scholars most cited alongside Claudio Canella, 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 | 2019 | 108 | |
| 2 | 2021 | 108 | |
| 3 | A Systematic Evaluation of Transient Execution Attacks and Defenses | 2019 | 67 |
| 4 | 2020 | 34 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 2 | |
| 9 | The use of RPAS in monitoring volume changes, subsidence and gas emissions from a landfill in Veneto Region, North east of Italy. | 2017 | 1 |
About Claudio Canella
Claudio Canella is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Materials Chemistry and Hardware and Architecture, having authored 9 papers that have together received 370 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Advanced Malware Detection Techniques (4 papers), Diamond and Carbon-based Materials Research (3 papers), Cloud Data Security Solutions (3 papers), Parallel Computing and Optimization Techniques (1 paper), Distributed systems and fault tolerance (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Physical Unclonable Functions (PUFs) and Hardware Security (1 paper). The work is most often cited by research in Hardware and Architecture (142 citations), Signal Processing (199 citations), Artificial Intelligence (325 citations), Computer Networks and Communications (69 citations) and Information Systems (62 citations). Claudio Canella has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Daniel Gruss, Michael Schwarz, Moritz Lipp, Frank Piessens, Jo Van Bulck, David Oswald, Marina Minkin, Daniel Genkin, Berk Sunar and Lukas Giner. Their work appears in journals such as EGU General Assembly Conference Abstracts, Figshare and Lirias (KU Leuven).
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.