Robert Luh
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 27
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- Network Security and Intrusion Detection 20
- Co-authors
- Sebastian Schrittwieser (20 shared papers)Helge Janicke (5 shared papers)Markus Wagner (5 shared papers)Alexander Rind (3 shared papers)Wolfgang Aigner (3 shared papers)Fabian Fischer (2 shared papers)Daniel A. Keim (2 shared papers)Simon Tjoa (2 shared papers)
- Journals
- Journal of Computer Virology and Hacking Techniques (3 papers)Computers & Security (2 papers)Nuclear Engineering and Design (1 paper)e+i Elektrotechnik und Informationstechnik (1 paper)Journal of Information Processing (1 paper)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Robert Luh
28 papers receiving 289 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 208
- Computer Networks and Communications 174
- Information Systems 169
- Software 27
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Robert Luh
This map shows the geographic impact of Robert Luh'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 Robert Luh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Luh more than expected).
Fields of papers citing papers by Robert Luh
This network shows the impact of papers produced by Robert Luh. 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 Robert Luh. The network helps show where Robert Luh may publish in the future.
Co-authors
The 12 scholars most cited alongside Robert Luh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2016 | 48 | |
| 3 | 2019 | 26 | |
| 4 | 2018 | 22 | |
| 5 | 2014 | 16 | |
| 6 | 2014 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2016 | 12 | |
| 9 | 2017 | 12 | |
| 10 | 2008 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 3 | |
| 20 | BEHAVIOR BASED MALWARE RECOGNITION | 2011 | 3 |
About Robert Luh
Robert Luh is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (27 papers), Network Security and Intrusion Detection (20 papers), Information and Cyber Security (9 papers), Digital and Cyber Forensics (5 papers), Software Engineering Research (4 papers), Spam and Phishing Detection (3 papers), Data Visualization and Analytics (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (208 citations), Computer Networks and Communications (174 citations), Information Systems (169 citations), Software (27 citations) and Computer Vision and Pattern Recognition (52 citations). Robert Luh has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Sebastian Schrittwieser, Helge Janicke, Markus Wagner, Alexander Rind, Wolfgang Aigner, Fabian Fischer, Daniel A. Keim, Simon Tjoa, Hyoungshick Kim and Florian Mayr. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Computers & Security, Nuclear Engineering and Design, e+i Elektrotechnik und Informationstechnik and Journal of Information Processing.
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.