Markus Duermuth

2.4k citations
71 papers · 1.6k · h-index 21

Impact in

    • Advanced Malware Detection Techniques
    • Biometric Identification and Security
    • User Authentication and Security Systems
    • Spam and Phishing Detection

Papers in

Markus Duermuth

69 papers receiving 1.5k citations

Peers

Markus Duermuth
Comparison fields: 5 of 76
  • Signal Processing 865
  • Information Systems 1.0k
  • Human-Computer Interaction 136
  • Artificial Intelligence 567
  • Hardware and Architecture 85
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Citations per field
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Citations per year

Countries citing papers authored by Markus Duermuth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Duermuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Duermuth, 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 Markus Duermuth Line = papers co-authored together Markus Duermuth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013165
2
Adaptive Password-Strength Meters from Markov Models
2012124
3
Acoustic side-channel attacks on printers
2010120
4
Rethinking Access Control and Authentication for the Home Internet of Things (IoT)
2018108
5 201590
6 201689
7 201880
8 200975
9 200974
10 201944
11 201138
12 200433
13 201031
14 201628
15 200828
16 201828
17 202024
18 201324
19 201523
20 201223

About Markus Duermuth

Markus Duermuth is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include User Authentication and Security Systems (34 papers), Privacy, Security, and Data Protection (24 papers), Advanced Malware Detection Techniques (23 papers), Spam and Phishing Detection (16 papers), Cryptography and Data Security (11 papers), Cryptographic Implementations and Security (10 papers), Advanced Authentication Protocols Security (7 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Signal Processing (865 citations), Information Systems (1.0k citations), Human-Computer Interaction (136 citations), Artificial Intelligence (567 citations) and Hardware and Architecture (85 citations). Markus Duermuth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Backes, Maximilian Golla, Claude Castelluccia, Daniele Perito, Boris Köpf, Thorsten Holz, Sebastian Uellenbeck, Christopher Wolf, Luigi Lo Iacono and Manfred Pinkal. Their work appears in journals such as Lecture notes in computer science, Journal of Cybersecurity, ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction and International Journal of Information Security.

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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