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.
Cross-Architecture Bug Search in Binary Executables
2015202 citationsJannik Pewny, Behrad Garmany 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 Christian Rossow
Since
Specialization
Citations
This map shows the geographic impact of Christian Rossow'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 Christian Rossow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Rossow more than expected).
Fields of papers citing papers by Christian Rossow
This network shows the impact of papers produced by Christian Rossow. 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 Christian Rossow. The network helps show where Christian Rossow may publish in the future.
Co-authorship network of co-authors of Christian Rossow
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Rossow.
A scholar is included among the top collaborators of Christian Rossow 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 Christian Rossow. Christian Rossow is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Backes, Michael, et al.. (2016). What cannot be read, cannot be leveraged ? revisiting assumptions of JIT-ROP defenses. MPG.PuRe (Max Planck Society). 139–156.15 indexed citations
10.
Pewny, Jannik, Behrad Garmany, Robert Gawlik, Christian Rossow, & Thorsten Holz. (2015). Cross-Architecture Bug Search in Binary Executables. 709–724.202 indexed citations breakdown →
Kührer, Marc, Thomas Hupperich, Christian Rossow, & Thorsten Holz. (2014). Exit from hell? reducing the impact of amplification DDoS attacks. USENIX Security Symposium. 111–125.115 indexed citations
13.
Kührer, Marc, Thomas Hupperich, Christian Rossow, & Thorsten Holz. (2014). Hell of a handshake: abusing TCP for reflective amplification DDoS attacks. 4–4.32 indexed citations
14.
Veen, Victor van der, Herbert Bos, & Christian Rossow. (2013). Dynamic Analysis of Android Malware. Data Archiving and Networked Services (DANS).21 indexed citations
Rossow, Christian, Christian Dietrich, Herbert Bos, et al.. (2011). Network Traffic Analysis of Malicious Software. Data Archiving and Networked Services (DANS).1 indexed citations
20.
Dietrich, Christian & Christian Rossow. (2008). Empirical research on IP blacklisting..7 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.