Fabian Yamaguchi is a scholar working on Information Systems, Signal Processing and Software.
According to data from OpenAlex, Fabian Yamaguchi has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 13 papers in Signal Processing and 8 papers in Software. Recurrent topics in Fabian Yamaguchi's work include Advanced Malware Detection Techniques (13 papers), Software Engineering Research (10 papers) and Web Application Security Vulnerabilities (8 papers). Fabian Yamaguchi is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Software Engineering Research (10 papers) and Web Application Security Vulnerabilities (8 papers). Fabian Yamaguchi collaborates with scholars based in Germany, France and United Kingdom. Fabian Yamaguchi's co-authors include Konrad Rieck, Daniel J. Arp, Hugo Gascón, Christian Wressnegger, Felix Lindner, Henning Perl, Sergej Dechand, Sascha Fahl, Yasemin Acar and Matthew Smith and has published in prestigious journals such as it - Information Technology, USENIX Security Symposium and arXiv (Cornell University).
In The Last Decade
Fabian Yamaguchi
18 papers
receiving
1.5k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Modeling and Discovering Vulnerabilities with Code Property Graphs
2014440 citationsFabian Yamaguchi, Daniel J. Arp et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Fabian Yamaguchi
Since
Specialization
Citations
This map shows the geographic impact of Fabian Yamaguchi'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 Fabian Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Yamaguchi more than expected).
Fields of papers citing papers by Fabian Yamaguchi
This network shows the impact of papers produced by Fabian Yamaguchi. 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 Fabian Yamaguchi. The network helps show where Fabian Yamaguchi may publish in the future.
Co-authorship network of co-authors of Fabian Yamaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Yamaguchi.
A scholar is included among the top collaborators of Fabian Yamaguchi 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 Fabian Yamaguchi. Fabian Yamaguchi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perl, Henning, Sergej Dechand, Matthew Smith, et al.. (2015). VCCFinder. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 426–437.153 indexed citations
13.
Yamaguchi, Fabian, et al.. (2014). Modeling and Discovering Vulnerabilities with Code Property Graphs. 590–604.440 indexed citations breakdown →
14.
Arp, Daniel J., Fabian Yamaguchi, & Konrad Rieck. (2014). — Technical Report — Torben: Deanonymizing Tor Communication using Web Page Markers.1 indexed citations
Yamaguchi, Fabian, Felix Lindner, & Konrad Rieck. (2011). Vulnerability extrapolation: assisted discovery of vulnerabilities using machine learning. 13–13.97 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.