Victor van der Veen
- Signal Processing top 1%
- Advanced Malware Detection Techniques 11
- Software top 5%
- Software Testing and Debugging Techniques 3
- Hardware and Architecture top 5%
- Artificial Intelligence top 2%
- Security and Verification in Computing 8
- Adversarial Robustness in Machine Learning 1
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- Network Security and Intrusion Detection 3
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- Software Engineering Research 3
- Digital and Cyber Forensics 2
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- Radiation Effects in Electronics 1
- Co-authors
- Herbert BosYanick FratantonioMartina LindorferCristiano GiuffridaChristian PlatzerMatthias NeugschwandtnerKaveh RazaviDennis Andriesse
- Journals
- Data Archiving and Networked Services (DANS) (2 papers)Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (1 paper)VU Research Portal (6 papers)
- Partner nations
- NetherlandsAustriaUnited States
In The Last Decade
Victor van der Veen
11 papers receiving 804 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 633
- Software 147
- Hardware and Architecture 189
- Artificial Intelligence 543
- Computer Networks and Communications 339
Countries citing papers authored by Victor van der Veen
This map shows the geographic impact of Victor van der Veen'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 Victor van der Veen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor van der Veen more than expected).
Fields of papers citing papers by Victor van der Veen
This network shows the impact of papers produced by Victor van der Veen. 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 Victor van der Veen. The network helps show where Victor van der Veen may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Victor van der Veen, 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 | 2019 | 2 | |
| 3 | 2017 | 16 | |
| 4 | 2017 | 28 | |
| 5 | 2016 | 119 | |
| 6 | An In-Depth Analysis of Disassembly on Full-Scale x86/x64 Binaries | 2016 | 52 |
| 7 | 2016 | 184 | |
| 8 | 2015 | 127 | |
| 9 | 2014 | 192 | |
| 10 | Andrubis: Android Malware Under the Magnifying Glass | 2014 | 49 |
| 11 | Dynamic Analysis of Android Malware | 2013 | 21 |
About Victor van der Veen
Victor van der Veen is a scholar working on Signal Processing, Software, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 11 papers that have together received 848 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Security and Verification in Computing (8 papers), Software Engineering Research (3 papers), Software Testing and Debugging Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Digital and Cyber Forensics (2 papers), Radiation Effects in Electronics (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Signal Processing (633 citations), Software (147 citations), Hardware and Architecture (189 citations), Artificial Intelligence (543 citations) and Computer Networks and Communications (339 citations). Victor van der Veen has collaborated with scholars based in Netherlands, Austria and United States. Frequent co-authors include Herbert Bos, Yanick Fratantonio, Martina Lindorfer, Cristiano Giuffrida, Christian Platzer, Matthias Neugschwandtner, Kaveh Razavi, Dennis Andriesse, Enes Göktaş and Asia Slowinska. Their work appears in journals such as Data Archiving and Networked Services (DANS), Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam), VU Research Portal and Bristol Research (University of Bristol).
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.