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
- Cryptographic Implementations and Security 1
-
- 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)Lukas Giner (2 shared papers)Berk Sunar (1 shared paper)
- Journals
- Lirias (KU Leuven) (1 paper)Figshare (2 papers)TUGraz OPEN Library (Graz University of Technology) (4 papers)EGU General Assembly Conference Abstracts (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Claudio Canella
9 papers receiving 376 citations
Peers
Comparison fields: 5 of 17
- Hardware and Architecture 146
- Signal Processing 202
- Artificial Intelligence 334
- Computer Networks and Communications 70
- Information Systems 64
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 | 2021 | 114 | |
| 2 | 2019 | 112 | |
| 3 | A Systematic Evaluation of Transient Execution Attacks and Defenses | 2019 | 68 |
| 4 | 2020 | 34 | |
| 5 | 2020 | 33 | |
| 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 383 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (3 papers), Diamond and Carbon-based Materials Research (3 papers), Mass Spectrometry Techniques and Applications (1 paper), Cryptographic Implementations and Security (1 paper), Distributed systems and fault tolerance (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (146 citations), Signal Processing (202 citations), Artificial Intelligence (334 citations), Computer Networks and Communications (70 citations) and Information Systems (64 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, Lukas Giner, Berk Sunar, Daniel Moghimi and Daniel Genkin. Their work appears in journals such as Lirias (KU Leuven), Figshare, TUGraz OPEN Library (Graz University of Technology) and EGU General Assembly Conference Abstracts.
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.