Max Landauer
Impact in
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- Network Security and Intrusion Detection
- Software System Performance and Reliability
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
Papers in
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- Network Security and Intrusion Detection 36
- Software System Performance and Reliability 23
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- Anomaly Detection Techniques and Applications 25
- Topic Modeling 3
- Co-authors
- Florian Skopik (43 shared papers)Markus Wurzenberger (39 shared papers)Andreas Rauber (11 shared papers)Giuseppe Settanni (2 shared papers)Peter Filzmoser (2 shared papers)Wolfgang Kästner (3 shared papers)Roman Fiedler (1 shared paper)W. Kühn (1 shared paper)
In The Last Decade
Max Landauer
36 papers receiving 519 citations
Max Landauer's Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 411
- Signal Processing 125
- Artificial Intelligence 327
- Software 23
- Information Systems 119
Countries citing papers authored by Max Landauer
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
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-authors
The 18 scholars most cited alongside Max Landauer, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning for anomaly detection in log data: A survey Hit paper breakdown → | 2023 | 111 |
| 2 | 2020 | 83 | |
| 3 | 2018 | 57 | |
| 4 | 2020 | 33 | |
| 5 | 2017 | 33 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2024 | 23 | |
| 9 | 2022 | 19 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 7 | |
| 19 | AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis | 2019 | 6 |
| 20 | 2024 | 6 |
About Max Landauer
Max Landauer is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Software, having authored 44 papers that have together received 551 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (36 papers), Anomaly Detection Techniques and Applications (25 papers), Software System Performance and Reliability (23 papers), Advanced Malware Detection Techniques (11 papers), Information and Cyber Security (10 papers), Topic Modeling (3 papers), Software Engineering Research (2 papers) and Terrorism, Counterterrorism, and Political Violence (2 papers). The work is most often cited by research in Computer Networks and Communications (411 citations), Signal Processing (125 citations), Artificial Intelligence (327 citations), Software (23 citations) and Information Systems (119 citations). Max Landauer has collaborated with scholars based in Austria, Norway and Nigeria. Frequent co-authors include Florian Skopik, Markus Wurzenberger, Andreas Rauber, Giuseppe Settanni, Peter Filzmoser, Wolfgang Kästner, Roman Fiedler, W. Kühn, Edgar R. Weippl and Branka Stojanović. Their work appears in journals such as Computers & Security, IEEE Security & Privacy, IEEE Transactions on Reliability, Future Generation Computer Systems and IEEE Transactions on Dependable and Secure Computing.
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.