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 25
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- Information and Cyber Security 8
- Digital and Cyber Forensics 4
- Software Engineering Research 4
- Spam and Phishing Detection 3
- Co-authors
- Sebastian Schrittwieser (19 shared papers)Helge Janicke (5 shared papers)Markus Wagner (4 shared papers)Alexander Rind (2 shared papers)Wolfgang Aigner (2 shared papers)Fabian Fischer (1 shared paper)Daniel A. Keim (1 shared paper)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 KingdomSouth Korea
In The Last Decade
Robert Luh
23 papers receiving 241 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 186
- Computer Networks and Communications 153
- Information Systems 143
- Software 21
- Computer Vision and Pattern Recognition 44
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 11 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 58 | |
| 2 | 2016 | 35 | |
| 3 | 2018 | 21 | |
| 4 | 2019 | 20 | |
| 5 | 2014 | 14 | |
| 6 | 2014 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2015 | 8 | |
| 11 | 2008 | 8 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2014 | 3 | |
| 19 | BEHAVIOR BASED MALWARE RECOGNITION | 2011 | 3 |
| 20 | 2017 | 2 |
About Robert Luh
Robert Luh is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (17 papers), Information and Cyber Security (8 papers), Digital and Cyber Forensics (4 papers), Software Engineering Research (4 papers), Spam and Phishing Detection (3 papers), Software Testing and Debugging Techniques (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Signal Processing (186 citations), Computer Networks and Communications (153 citations), Information Systems (143 citations), Software (21 citations) and Computer Vision and Pattern Recognition (44 citations). Robert Luh has collaborated with scholars based in Austria, United Kingdom and South Korea. 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.