Anders Fogh
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 4
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- Network Security and Intrusion Detection 2
- Co-authors
- Daniel Gruss (4 shared papers)Moritz Lipp (3 shared papers)Stefan Mangard (3 shared papers)Michael Schwarz (3 shared papers)Werner Haas (2 shared papers)Mike Hamburg (2 shared papers)Daniel Genkin (2 shared papers)Thomas Prescher (2 shared papers)
- Journals
- Communications of the ACM (1 paper)USENIX Security Symposium (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- AustriaUnited StatesAustralia
In The Last Decade
Anders Fogh
4 papers receiving 680 citations
Anders Fogh's Hit Papers
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 236
- Signal Processing 323
- Artificial Intelligence 591
- Computer Networks and Communications 207
- Information Systems 190
Countries citing papers authored by Anders Fogh
This map shows the geographic impact of Anders Fogh'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 Anders Fogh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Fogh more than expected).
Fields of papers citing papers by Anders Fogh
This network shows the impact of papers produced by Anders Fogh. 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 Anders Fogh. The network helps show where Anders Fogh may publish in the future.
Co-authors
The 13 scholars most cited alongside Anders Fogh, 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 | Meltdown: reading kernel memory from user space Hit paper breakdown → | 2018 | 423 |
| 2 | 2020 | 130 | |
| 3 | 2016 | 128 | |
| 4 | 2019 | 23 |
About Anders Fogh
Anders Fogh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Hardware and Architecture, having authored 4 papers that have together received 704 indexed citations. Recurring topics across this work include Security and Verification in Computing (4 papers), Cloud Data Security Solutions (2 papers), Advanced Malware Detection Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Diamond and Carbon-based Materials Research (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (236 citations), Signal Processing (323 citations), Artificial Intelligence (591 citations), Computer Networks and Communications (207 citations) and Information Systems (190 citations). Anders Fogh has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Daniel Gruss, Moritz Lipp, Stefan Mangard, Michael Schwarz, Werner Haas, Mike Hamburg, Daniel Genkin, Thomas Prescher, Yuval Yarom and Paul Kocher. Their work appears in journals such as Communications of the ACM, USENIX Security Symposium and Zenodo (CERN European Organization for Nuclear Research).
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.