Max Landauer

781 total citations
30 papers, 381 citations indexed

About

Max Landauer is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Max Landauer has authored 30 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Max Landauer's work include Network Security and Intrusion Detection (27 papers), Software System Performance and Reliability (18 papers) and Anomaly Detection Techniques and Applications (18 papers). Max Landauer is often cited by papers focused on Network Security and Intrusion Detection (27 papers), Software System Performance and Reliability (18 papers) and Anomaly Detection Techniques and Applications (18 papers). Max Landauer collaborates with scholars based in Austria. Max Landauer's co-authors include Florian Skopik, Markus Wurzenberger, Andreas Rauber, Peter Filzmoser, Giuseppe Settanni, Wolfgang Kästner, Roman Fiedler, W. Kühn, Christoph Zauner and Torsten Ullrich and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Reliability and Computers & Security.

In The Last Decade

Max Landauer

27 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Landauer Austria 10 298 243 91 88 37 30 381
Xinjun Pei China 10 236 0.8× 186 0.8× 150 1.6× 199 2.3× 23 0.6× 23 358
Faheem Ullah Australia 8 228 0.8× 119 0.5× 131 1.4× 129 1.5× 34 0.9× 23 311
Mohamed Belaoued Algeria 9 148 0.5× 116 0.5× 122 1.3× 106 1.2× 18 0.5× 16 266
K. Sundarakantham India 6 270 0.9× 178 0.7× 70 0.8× 129 1.5× 29 0.8× 25 310
Hao Fu United States 9 147 0.5× 83 0.3× 104 1.1× 101 1.1× 34 0.9× 16 231
Esraa Saleh Alomari Iraq 7 282 0.9× 202 0.8× 70 0.8× 187 2.1× 17 0.5× 14 340
D. Sangeetha India 9 213 0.7× 135 0.6× 193 2.1× 183 2.1× 13 0.4× 21 337
Gözde Karataş Türkiye 7 342 1.1× 299 1.2× 54 0.6× 215 2.4× 14 0.4× 12 400
Deepak Kshirsagar India 10 349 1.2× 268 1.1× 78 0.9× 258 2.9× 28 0.8× 29 411
Frederica F. Nelson United States 8 258 0.9× 96 0.4× 118 1.3× 137 1.6× 56 1.5× 28 326

Countries citing papers authored by Max Landauer

Since Specialization
Citations

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

Fields of papers citing papers by Max Landauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Landauer

This figure shows the co-authorship network connecting the top 25 collaborators of Max Landauer. A scholar is included among the top collaborators of Max Landauer 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 Max Landauer. Max Landauer 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.
Landauer, Max, Florian Skopik, & Markus Wurzenberger. (2024). A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-Based Anomaly Detection Techniques. Proceedings of the ACM on software engineering.. 1(FSE). 1354–1375. 14 indexed citations
2.
Skopik, Florian, et al.. (2024). On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence. 1–10. 1 indexed citations
3.
Landauer, Max, Florian Skopik, & Markus Wurzenberger. (2024). Introducing a New Alert Data Set for Multi-Step Attack Analysis. 41–53. 4 indexed citations
4.
Landauer, Max, et al.. (2024). A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction. International Journal of Information Security. 24(1). 7 indexed citations
5.
6.
Landauer, Max, et al.. (2024). A logging maturity and decision model for the selection of intrusion detection cyber security solutions. Computers & Security. 141. 103844–103844. 2 indexed citations
7.
Landauer, Max, et al.. (2023). Deep learning for anomaly detection in log data: A survey. SHILAP Revista de lepidopterología. 12. 100470–100470. 78 indexed citations
8.
9.
Wurzenberger, Markus, et al.. (2023). Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security. Computers & Security. 137. 103631–103631. 9 indexed citations
10.
Landauer, Max, et al.. (2022). A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing. 2022 IEEE International Conference on Big Data (Big Data). 4285–4294. 3 indexed citations
11.
Landauer, Max, et al.. (2022). AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection. 4(1). 1–16. 9 indexed citations
12.
13.
Landauer, Max, Florian Skopik, Markus Wurzenberger, & Andreas Rauber. (2022). Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation. ACM Transactions on Privacy and Security. 25(3). 1–36. 13 indexed citations
14.
Skopik, Florian, Markus Wurzenberger, & Max Landauer. (2021). The Seven Golden Principles of Effective Anomaly-Based Intrusion Detection. IEEE Security & Privacy. 19(5). 36–45. 3 indexed citations
15.
Skopik, Florian, Markus Wurzenberger, & Max Landauer. (2021). Smart Log Data Analytics. 7 indexed citations
16.
Wurzenberger, Markus, et al.. (2020). Creating Character-based Templates for Log Data to Enable Security Event Classification. 141–152. 2 indexed citations
17.
Skopik, Florian, Max Landauer, Markus Wurzenberger, et al.. (2020). synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems. Journal of Information Security and Applications. 54. 102544–102544. 8 indexed citations
18.
Wurzenberger, Markus, Max Landauer, Florian Skopik, & Wolfgang Kästner. (2019). AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis. Immunotechnology. 7–12. 5 indexed citations
19.
Landauer, Max, et al.. (2019). A Framework for Cyber Threat Intelligence Extraction from Raw Log Data. 3200–3209. 22 indexed citations
20.
Wurzenberger, Markus, et al.. (2017). Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data. 1–6. 23 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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