Robert Luh

416 total citations
28 papers, 255 citations indexed

About

Robert Luh is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Robert Luh has authored 28 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 19 papers in Information Systems and 18 papers in Computer Networks and Communications. Recurrent topics in Robert Luh's work include Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (17 papers) and Information and Cyber Security (8 papers). Robert Luh is often cited by papers focused on Advanced Malware Detection Techniques (25 papers), Network Security and Intrusion Detection (17 papers) and Information and Cyber Security (8 papers). Robert Luh collaborates with scholars based in Austria, United Kingdom and South Korea. Robert Luh's co-authors include Sebastian Schrittwieser, Helge Janicke, Markus Wagner, Alexander Rind, Wolfgang Aigner, Daniel A. Keim, Fabian Fischer, Simon Tjoa, Hyoungshick Kim and Florian Mayr and has published in prestigious journals such as Nuclear Engineering and Design, Computers & Security and Journal of Computer Virology and Hacking Techniques.

In The Last Decade

Robert Luh

23 papers receiving 241 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Luh Austria 9 186 153 143 53 44 28 255
Mohd Taufik Abdullah Malaysia 13 223 1.2× 245 1.6× 191 1.3× 214 4.0× 54 1.2× 46 453
D. Sangeetha India 9 183 1.0× 213 1.4× 193 1.3× 135 2.5× 12 0.3× 21 337
Ali Tekeoglu United States 9 175 0.9× 215 1.4× 133 0.9× 124 2.3× 30 0.7× 34 302
Clint Feher Israel 6 370 2.0× 271 1.8× 248 1.7× 139 2.6× 36 0.8× 9 431
Abbas Ghaemi Bafghi Iran 9 71 0.4× 163 1.1× 127 0.9× 110 2.1× 22 0.5× 31 249
Abir Rahali Canada 7 153 0.8× 200 1.3× 93 0.7× 160 3.0× 22 0.5× 8 306
Ennan Zhai China 10 73 0.4× 270 1.8× 124 0.9× 83 1.6× 19 0.4× 32 349
Carlos Laorden Spain 12 282 1.5× 262 1.7× 239 1.7× 153 2.9× 20 0.5× 24 413
Konstantin Böttinger Germany 8 221 1.2× 79 0.5× 166 1.2× 188 3.5× 63 1.4× 23 406
Kaijun Liu China 7 199 1.1× 192 1.3× 98 0.7× 74 1.4× 16 0.4× 13 303

Countries citing papers authored by Robert Luh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Luh

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

All Works

20 of 20 papers shown
1.
Luh, Robert, et al.. (2025). Gamifying information security: Adversarial risk exploration for IT/OT infrastructures. Computers & Security. 151. 104287–104287.
2.
Luh, Robert, et al.. (2022). WSL2 Forensics: Detection, Analysis & Revirtualization. 1–7.
3.
Luh, Robert, et al.. (2022). Formalizing Real-world Threat Scenarios. 281–289.
4.
Luh, Robert, et al.. (2021). Time for Truth: Forensic Analysis of NTFS Timestamps. 1–10. 3 indexed citations
5.
Luh, Robert, et al.. (2019). PenQuest: a gamified attacker/defender meta model for cyber security assessment and education. Journal of Computer Virology and Hacking Techniques. 16(1). 19–61. 20 indexed citations
6.
Luh, Robert, Helge Janicke, & Sebastian Schrittwieser. (2019). AIDIS: Detecting and classifying anomalous behavior in ubiquitous kernel processes. Computers & Security. 84. 120–147. 13 indexed citations
7.
Luh, Robert & Sebastian Schrittwieser. (2019). Advanced threat intelligence: detection and classification of anomalous behavior in system processes. e+i Elektrotechnik und Informationstechnik. 137(1). 38–44. 1 indexed citations
8.
Luh, Robert, et al.. (2018). SEQUIN: a grammar inference framework for analyzing malicious system behavior. Journal of Computer Virology and Hacking Techniques. 14(4). 291–311. 6 indexed citations
9.
Luh, Robert, et al.. (2018). APT RPG: Design of a Gamified Attacker/Defender Meta Model. 526–537. 6 indexed citations
10.
Schrittwieser, Sebastian, et al.. (2018). The Other Side of the Coin. 1–10. 21 indexed citations
11.
Luh, Robert, et al.. (2017). Design of an Anomaly-based Threat Detection & Explication System. 397–402. 5 indexed citations
12.
Luh, Robert, et al.. (2017). LLR-Based Sentiment Analysis for Kernel Event Sequences. 48. 764–771. 4 indexed citations
13.
Luh, Robert, et al.. (2017). On the Impact of Kernel Code Vulnerabilities in IoT Devices. 61. 1–5. 2 indexed citations
14.
Luh, Robert, et al.. (2016). Empirical Malware Research through Observation of System Behaviour. 467–469. 1 indexed citations
15.
Luh, Robert, et al.. (2016). Semantics-aware detection of targeted attacks: a survey. Journal of Computer Virology and Hacking Techniques. 13(1). 47–85. 35 indexed citations
16.
Luh, Robert, et al.. (2015). Classifying malicious system behavior using event propagation trees. 19. 1–10. 8 indexed citations
17.
Wagner, Markus, Fabian Fischer, Robert Luh, et al.. (2015). A Survey of Visualization Systems for Malware Analysis. KOPS (University of Konstanz). 58 indexed citations
18.
19.
Luh, Robert, et al.. (2014). Malicious Behavior Patterns. 384–389. 13 indexed citations
20.
Luh, Robert, et al.. (2014). Defining Malicious Behavior. 5758. 273–278. 3 indexed citations

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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