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.
On Technical Security Issues in Cloud Computing
2009396 citationsMeiko Jensen, Jörg Schwenk et al.University of Southern Denmark Research Portal (University of Southern Denmark)profile →
Citations per year, relative to Jörg Schwenk Jörg Schwenk (= 1×)
peers
Matteo Maffei
Countries citing papers authored by Jörg Schwenk
Since
Specialization
Citations
This map shows the geographic impact of Jörg Schwenk'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 Jörg Schwenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Schwenk more than expected).
This network shows the impact of papers produced by Jörg Schwenk. 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 Jörg Schwenk. The network helps show where Jörg Schwenk may publish in the future.
Co-authorship network of co-authors of Jörg Schwenk
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Schwenk.
A scholar is included among the top collaborators of Jörg Schwenk 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 Jörg Schwenk. Jörg Schwenk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Müller, Jens, et al.. (2021). ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication. USENIX Security Symposium. 4293–4310.2 indexed citations
Schwenk, Jörg, et al.. (2017). Same-Origin Policy: Evaluation in Modern Browsers. USENIX Security Symposium. 713–727.20 indexed citations
8.
Mainka, Christian, et al.. (2015). Automatic recognition, processing and attacking of single sign-on protocols with burp suite.. 119–131.2 indexed citations
9.
Somorovsky, Juraj, et al.. (2014). Revisiting SSL/TLS Implementations: New Bleichenbacher Side Channels and Attacks. TUbilio (Technical University of Darmstadt).41 indexed citations
10.
Mayer, Andreas, et al.. (2014). On the Security of Holder-of-Key Single Sign-On.. 65–77.2 indexed citations
11.
Mainka, Christian, et al.. (2013). A new approach for WS-Policy Intersection using Partial Ordered Sets.. 45–48.
12.
Wieland, Thomas, et al.. (2012). On the design and implementation of the Open eCard App. TUbilio (Technical University of Darmstadt). 95–110.4 indexed citations
13.
Somorovsky, Juraj, Mario Heiderich, Meiko Jensen, et al.. (2011). All your clouds are belong to us. Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences).1 indexed citations
14.
Kohlar, Florian, et al.. (2010). Security Analysis of OpenID.. 68(4). 329–340.10 indexed citations
15.
Schwenk, Jörg, et al.. (2009). SAMLizing the European Citizen Card.. 105–116.3 indexed citations
Oppliger, Rolf, et al.. (2008). Protecting Code Voting Against Vote Selling.. 193–204.4 indexed citations
18.
Schwenk, Jörg, et al.. (2008). TLS-Federation - a Secure and Relying-Party-Friendly Approach for Federated Identity Management.. 93–104.8 indexed citations
19.
Gajek, Sebastian, Jörg Schwenk, & Christoph Wegener. (2006). SSL-VA-Authentifizierung als Schutz von Phishing und Pharming.. 6–17.1 indexed citations
20.
Martín, Tobías, et al.. (2001). Tree-based Key Agreement for Multicast. International Conference on Communications. 31.1 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.