Philipp Trinius
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Network Security and Intrusion Detection 6
- Peer-to-Peer Network Technologies 1
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- Advanced Malware Detection Techniques 6
- Co-authors
- Thorsten Holz (5 shared papers)Carsten Willems (3 shared papers)Konrad Rieck (2 shared papers)Jan Göbel (6 shared papers)Felix Freiling (3 shared papers)Ralf Hund (1 shared paper)Ben Stock (1 shared paper)
- Journals
- Journal of Computer Security (1 paper)Technische Universität Dortmund Eldorado (Technische Universität Dortmund) (2 papers)MADOC (University of Mannheim) (2 papers)MADOC (University of Mannheim) (1 paper)
In The Last Decade
Philipp Trinius
7 papers receiving 514 citations
Philipp Trinius's Hit Papers
Peers
Comparison fields: 5 of 38
- Signal Processing 511
- Software 102
- Computer Networks and Communications 469
- Information Systems 283
- Artificial Intelligence 173
Countries citing papers authored by Philipp Trinius
This map shows the geographic impact of Philipp Trinius'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 Trinius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Trinius more than expected).
Fields of papers citing papers by Philipp Trinius
This network shows the impact of papers produced by Philipp Trinius. 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 Trinius. The network helps show where Philipp Trinius may publish in the future.
Co-authors
The 7 scholars most cited alongside Philipp Trinius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automatic analysis of malware behavior using machine learning Hit paper breakdown → | 2011 | 435 |
| 2 | 2009 | 71 | |
| 3 | A malware instruction set for behavior-based analysis | 2009 | 43 |
| 4 | 2009 | 6 | |
| 5 | 2010 | 5 | |
| 6 | Towards Optimal Sensor Placement Strategies for Early Warning Systems | 2010 | 3 |
| 7 | Blacklisting Malicious Websites using Peer-to-Peer Technology | 2010 | 1 |
| 8 | 2009 | 0 |
About Philipp Trinius
Philipp Trinius is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 8 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Spam and Phishing Detection (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Software Testing and Debugging Techniques (1 paper), Complex Network Analysis Techniques (1 paper), Software Engineering Research (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Signal Processing (511 citations), Software (102 citations), Computer Networks and Communications (469 citations), Information Systems (283 citations) and Artificial Intelligence (173 citations). Philipp Trinius has collaborated with scholars based in Germany and Austria. Frequent co-authors include Thorsten Holz, Carsten Willems, Konrad Rieck, Jan Göbel, Felix Freiling, Ralf Hund and Ben Stock. Their work appears in journals such as Journal of Computer Security, Technische Universität Dortmund Eldorado (Technische Universität Dortmund), MADOC (University of Mannheim) and MADOC (University of Mannheim).
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.