Marc Kührer
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
Papers in
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- Network Security and Intrusion Detection 5
- Software-Defined Networks and 5G 1
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- Internet Traffic Analysis and Secure E-voting 4
- Co-authors
- Thorsten Holz (6 shared papers)Thomas Hupperich (4 shared papers)Christian Rossow (3 shared papers)Giorgio Giacinto (1 shared paper)Davide Maiorca (1 shared paper)
- Journals
- PIK - Praxis der Informationsverarbeitung und Kommunikation (2 papers)UNICA IRIS Institutional Research Information System (University of Cagliari) (1 paper)USENIX Security Symposium (1 paper)
In The Last Decade
Marc Kührer
6 papers receiving 240 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 101
- Computer Networks and Communications 210
- Artificial Intelligence 189
- Information Systems 80
- Hardware and Architecture 23
Countries citing papers authored by Marc Kührer
This map shows the geographic impact of Marc Kührer'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 Marc Kührer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Kührer more than expected).
Fields of papers citing papers by Marc Kührer
This network shows the impact of papers produced by Marc Kührer. 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 Marc Kührer. The network helps show where Marc Kührer may publish in the future.
Co-authors
The 5 scholars most cited alongside Marc Kührer, 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 | Exit from hell? reducing the impact of amplification DDoS attacks | 2014 | 115 |
| 2 | 2015 | 62 | |
| 3 | Hell of a handshake: abusing TCP for reflective amplification DDoS attacks | 2014 | 32 |
| 4 | 2015 | 30 | |
| 5 | 2012 | 10 | |
| 6 | 2012 | 3 |
About Marc Kührer
Marc Kührer is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 252 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Malware Detection Techniques (3 papers), Spam and Phishing Detection (2 papers), Advanced Steganography and Watermarking Techniques (1 paper), Software-Defined Networks and 5G (1 paper), User Authentication and Security Systems (1 paper) and IPv6, Mobility, Handover, Networks, Security (1 paper). The work is most often cited by research in Signal Processing (101 citations), Computer Networks and Communications (210 citations), Artificial Intelligence (189 citations), Information Systems (80 citations) and Hardware and Architecture (23 citations). Marc Kührer has collaborated with scholars based in Germany and Italy. Frequent co-authors include Thorsten Holz, Thomas Hupperich, Christian Rossow, Giorgio Giacinto and Davide Maiorca. Their work appears in journals such as PIK - Praxis der Informationsverarbeitung und Kommunikation, UNICA IRIS Institutional Research Information System (University of Cagliari) and USENIX Security Symposium.
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.