Philipp Trinius

937 citations
6 papers · 641 · 1 hit paper · h-index 5

Impact in

Papers in

Philipp Trinius

6 papers receiving 594 citations

Philipp Trinius's Hit Papers

Automatic analysis of malware behavior using machine learning 2011 · 539 citations
5390+5+10Years since publication100200300400500

Peers

Philipp Trinius
Comparison fields: 5 of 39
  • Signal Processing 572
  • Software 123
  • Computer Networks and Communications 513
  • Information Systems 316
  • Artificial Intelligence 200
Replace Joshua Saxe with:
Joshua Saxe Finland
Silvio Cesare Australia
Dhilung Kirat United States
Mansour Ahmadi Italy
Daniele Ucci Italy
Ekta Gandotra India
Theodoor Scholte France
Clemens Kolbitsch United States
Nwokedi C. Idika United States
Ulrich Bayer France
Philipp Trinius relative to Joshua Saxe Finland Joshua Saxe's profile →
Citations per field
00.5×2×3×4×4.8×
Joshua Saxe · 1×
Citations per year

Countries citing papers authored by Philipp Trinius

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 6 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.

Border = papers with Philipp Trinius Line = papers co-authored together Philipp Trinius links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Automatic analysis of malware behavior using machine learning
Hit paper breakdown →
2011539
2 200980
3 20106
4 20096
5 20096
6
Towards Optimal Sensor Placement Strategies for Early Warning Systems
20104

About Philipp Trinius

Philipp Trinius is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 6 papers that have together received 641 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (5 papers), Spam and Phishing Detection (4 papers), Software Engineering Research (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (572 citations), Software (123 citations), Computer Networks and Communications (513 citations), Information Systems (316 citations) and Artificial Intelligence (200 citations). Philipp Trinius has collaborated with scholars based in Germany and Austria. Frequent co-authors include Thorsten Holz, Carsten Willems, Konrad Rieck, Jan Gerrit Göbel, Felix Freiling and Ralf Hund. Their work appears in journals such as Journal of Computer Security, Lecture notes in computer science, MADOC (University of Mannheim) and Technische Universität Dortmund Eldorado (Technische Universität Dortmund).

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.

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