Victor van der Veen

1.7k total citations
11 papers, 848 citations indexed

About

Victor van der Veen is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Victor van der Veen has authored 11 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 8 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Victor van der Veen's work include Advanced Malware Detection Techniques (11 papers), Security and Verification in Computing (8 papers) and Software Engineering Research (3 papers). Victor van der Veen is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Security and Verification in Computing (8 papers) and Software Engineering Research (3 papers). Victor van der Veen collaborates with scholars based in Netherlands, Austria and United States. Victor van der Veen's co-authors include Herbert Bos, Martina Lindorfer, Yanick Fratantonio, Cristiano Giuffrida, Matthias Neugschwandtner, Christian Platzer, Kaveh Razavi, Dennis Andriesse, Enes Göktaş and Asia Slowinska and has published in prestigious journals such as VU Research Portal, Bristol Research (University of Bristol) and Data Archiving and Networked Services (DANS).

In The Last Decade

Victor van der Veen

11 papers receiving 804 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Victor van der Veen Netherlands	10	633	543	339	266	189	11	848
David Sehr United States	9	416 0.7×	607 1.1×	343 1.0×	257 1.0×	248 1.3×	16	800
Byoungyoung Lee United States	12	483 0.8×	553 1.0×	247 0.7×	279 1.0×	142 0.8×	12	728
Periklis Akritidis United Kingdom	12	588 0.9×	739 1.4×	579 1.7×	299 1.1×	192 1.0×	16	981
Asia Slowinska Netherlands	13	648 1.0×	589 1.1×	323 1.0×	290 1.1×	124 0.7×	23	834
Dennis Andriesse Netherlands	12	411 0.6×	464 0.9×	300 0.9×	182 0.7×	120 0.6×	15	613
Ralf Hund Germany	9	502 0.8×	563 1.0×	301 0.9×	194 0.7×	116 0.6×	13	685
Matthew Harren United States	6	202 0.3×	474 0.9×	281 0.8×	161 0.6×	225 1.2×	9	620
Ming-Wei Shih United States	7	297 0.5×	510 0.9×	232 0.7×	259 1.0×	110 0.6×	7	635
Insu Yun United States	9	280 0.4×	248 0.5×	215 0.6×	169 0.6×	152 0.8×	17	557
Gaurav S. Kc United States	6	379 0.6×	418 0.8×	271 0.8×	186 0.7×	81 0.4×	8	545

Countries citing papers authored by Victor van der Veen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Victor van der Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Victor van der Veen. A scholar is included among the top collaborators of Victor van der Veen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor van der Veen. Victor van der Veen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Veen, Victor van der, et al.. (2022). BLACKSMITH: Scalable Rowhammering in the Frequency Domain. VU Research Portal. 716–734. 58 indexed citations

Veen, Victor van der, Dennis Andriesse, Erik van der Kouwe, et al.. (2019). VPS. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 97–112. 2 indexed citations

Contag, Moritz, Victor van der Veen, Thorsten Holz, et al.. (2017). MARX: Uncovering Class Hierarchies in C++ Programs. 16 indexed citations

Veen, Victor van der, et al.. (2017). The Dynamics of Innocent Flesh on the Bone. VU Research Portal. 1675–1689. 28 indexed citations

Andriesse, Dennis, Xi Chen, Victor van der Veen, Asia Slowinska, & Herbert Bos. (2016). An In-Depth Analysis of Disassembly on Full-Scale x86/x64 Binaries. VU Research Portal. 583–600. 52 indexed citations

Veen, Victor van der, Enes Göktaş, Moritz Contag, et al.. (2016). A Tough Call: Mitigating Advanced Code-Reuse Attacks at the Binary Level. Bristol Research (University of Bristol). 934–953. 119 indexed citations

Veen, Victor van der, Yanick Fratantonio, Martina Lindorfer, et al.. (2016). Drammer. VU Research Portal. 1675–1689. 184 indexed citations

Veen, Victor van der, Dennis Andriesse, Enes Göktaş, et al.. (2015). Practical Context-Sensitive CFI. VU Research Portal. 927–940. 127 indexed citations

Lindorfer, Martina, et al.. (2014). ANDRUBIS -- 1,000,000 Apps Later: A View on Current Android Malware Behaviors. VU Research Portal. 3–17. 192 indexed citations

10.

Neugschwandtner, Matthias, et al.. (2014). Andrubis: Android Malware Under the Magnifying Glass. Data Archiving and Networked Services (DANS). 49 indexed citations

11.

Veen, Victor van der, Herbert Bos, & Christian Rossow. (2013). Dynamic Analysis of Android Malware. Data Archiving and Networked Services (DANS). 21 indexed citations

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.

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