Philipp von Styp-Rekowsky
- Signal Processing top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Michael BackesSven BugielSebastian GerlingChristian HammerKonrad JamrozikAndreas ZellerMatteo MaffeiPascal Berrang
- Topics
- Advanced Malware Detection Techniques (9 papers)Security and Verification in Computing (6 papers)Software Testing and Debugging Techniques (4 papers)
- Journals
- USENIX Security SymposiumMax Planck Institute for Plasma PhysicsPublications of the UdS (Saarland University)
- Partner nations
- Germany
In The Last Decade
Philipp von Styp-Rekowsky
10 papers receiving 203 citations
Peers
Comparison fields: 5 of 17
- Signal Processing 193
- Information Systems 114
- Artificial Intelligence 96
- Software 86
- Computer Networks and Communications 74
Countries citing papers authored by Philipp von Styp-Rekowsky
This map shows the geographic impact of Philipp von Styp-Rekowsky'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 Philipp von Styp-Rekowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp von Styp-Rekowsky more than expected).
Fields of papers citing papers by Philipp von Styp-Rekowsky
This network shows the impact of papers produced by Philipp von Styp-Rekowsky. 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 Philipp von Styp-Rekowsky. The network helps show where Philipp von Styp-Rekowsky may publish in the future.
Co-authorship network of co-authors of Philipp von Styp-Rekowsky
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp von Styp-Rekowsky. A scholar is included among the top collaborators of Philipp von Styp-Rekowsky 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 Philipp von Styp-Rekowsky. Philipp von Styp-Rekowsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 41 | |
| 3 | 2 | |
| 4 | 29 | |
| 5 | Boxify: full-fledged app sandboxing for stock android | 52 |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 18 | |
| 9 | AppGuard — Real-time policy en- forcement for third-party applications | 12 |
| 10 | A Local Cross-Site Scripting Attack against Android Phones | 7 |
| 11 | Towards Time-Adaptive Feature Design in Music Signal Processing | 1 |
About Philipp von Styp-Rekowsky
Philipp von Styp-Rekowsky is a scholar working on Software, Signal Processing and Information Systems, having authored 11 papers that have together received 210 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Security and Verification in Computing (6 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (86 citations), Signal Processing (193 citations) and Information Systems (114 citations). Philipp von Styp-Rekowsky has collaborated with scholars based in Germany. Frequent co-authors include Michael Backes, Sven Bugiel, Sebastian Gerling, Christian Hammer, Konrad Jamrozik, Andreas Zeller, Michael Backes, Matteo Maffei, Pascal Berrang and Bruno W. França. Their work appears in journals such as USENIX Security Symposium, Max Planck Institute for Plasma Physics and Publications of the UdS (Saarland University).
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.