Max Landauer

781 citations
30 papers · 381 · h-index 10

Impact in

Papers in

    • Network Security and Intrusion Detection 27
    • Software System Performance and Reliability 18
    • Anomaly Detection Techniques and Applications 18
    • Advanced Text Analysis Techniques 1
    • Semantic Web and Ontologies 1
    • Natural Language Processing Techniques 1

Max Landauer

27 papers receiving 350 citations

Peers

Max Landauer
Comparison fields: 5 of 46
  • Computer Networks and Communications 298
  • Signal Processing 88
  • Artificial Intelligence 243
  • Software 16
  • Information Systems 91
Replace K. Sundarakantham with:
K. Sundarakantham India
Xinjun Pei China
Faheem Ullah Australia
Hao Fu United States
Mohamed Belaoued Algeria
Mohammad Almseidin Jordan
D. Sangeetha India
Gözde Karataş Türkiye
Chin‐Wei Tien Taiwan
Hwankuk Kim South Korea
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Citations per field
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Citations per year

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-authors

The 15 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.

Border = papers with Max Landauer Line = papers co-authored together Max Landauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 202069
3 201847
4 202026
5 201723
6 201922
7 202414
8 202213
9 202211
10 20229
11 20239
12 20208
13 20247
14 20217
15
AECID-PG: A Tree-Based Log Parser Generator To Enable Log Analysis
20195
16 20215
17 20244
18 20234
19 20224
20 20223

About Max Landauer

Max Landauer is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Hardware and Architecture, having authored 30 papers that have together received 381 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Software System Performance and Reliability (18 papers), Anomaly Detection Techniques and Applications (18 papers), Information and Cyber Security (8 papers), Advanced Malware Detection Techniques (6 papers), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (298 citations), Signal Processing (88 citations), Artificial Intelligence (243 citations), Software (16 citations) and Information Systems (91 citations). Max Landauer has collaborated with scholars based in Austria. Frequent co-authors include Florian Skopik, Markus Wurzenberger, Andreas Rauber, Peter Filzmoser, Giuseppe Settanni, Wolfgang Kästner, Roman Fiedler, W. Kühn, Stefan Raß and Edgar Weippl. Their work appears in journals such as Computers & Security, IEEE Security & Privacy, International Journal of Information Security, Journal of Information Security and Applications and Immunotechnology.

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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