Clemens Kolbitsch

1.1k citations
6 papers · 595 indexed · h-index 6
Topics
Advanced Malware Detection Techniques (5 papers)Security and Verification in Computing (4 papers)Network Security and Intrusion Detection (3 papers)
Journals
USENIX Security SymposiumVirtual Community of Pathological Anatomy (University of Castilla La Mancha)Zenodo (CERN European Organization for Nuclear Research)

In The Last Decade

Clemens Kolbitsch

6 papers receiving 550 citations

Peers

Clemens Kolbitsch
Comparison fields: 5 of 25
  • Signal Processing 531
  • Computer Networks and Communications 394
  • Information Systems 315
  • Artificial Intelligence 251
  • Software 123
Replace Theodoor Scholte with:
Theodoor Scholte France
Dhilung Kirat United States
Chad Verbowski United States
Ching-Hao Mao Taiwan
Santanu Kumar Dash United Kingdom
Yoon‐Chan Jhi United States
Nwokedi Idika United States
Lok Kwong Yan United States
Silvio Cesare Australia
Daniele Ucci Italy
Clemens Kolbitsch relative to Theodoor Scholte France Theodoor Scholte's profile →
Citations per field
00.5×1.5×
Theodoor Scholte · 1×
Citations per year

Countries citing papers authored by Clemens Kolbitsch

Since Specialization
Citations

This map shows the geographic impact of Clemens Kolbitsch'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 Clemens Kolbitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clemens Kolbitsch more than expected).

Fields of papers citing papers by Clemens Kolbitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clemens Kolbitsch. 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 Clemens Kolbitsch. The network helps show where Clemens Kolbitsch may publish in the future.

Co-authorship network of co-authors of Clemens Kolbitsch

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Kolbitsch. A scholar is included among the top collaborators of Clemens Kolbitsch 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 Clemens Kolbitsch. Clemens Kolbitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 106
2 61
3 67
4 67
5
Effective and efficient malware detection at the end host
269
6 25

About Clemens Kolbitsch

Clemens Kolbitsch is a scholar working on Signal Processing, Software and Artificial Intelligence, having authored 6 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Security and Verification in Computing (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Signal Processing (531 citations), Software (123 citations) and Computer Networks and Communications (394 citations). Clemens Kolbitsch has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Engin Kirda, Christopher Kruegel, Paolo Milani Comparetti, Xiaofeng Wang, Xiaoyong Zhou, Benjamin Livshits, Benjamin G. Zorn, Christian Seifert, Thorsten Holz and Stefano Zanero. Their work appears in journals such as USENIX Security Symposium, Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and Zenodo (CERN European Organization for Nuclear Research).

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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