Tilo Müller
- Signal Processing top 1%
- Advanced Malware Detection Techniques 47
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security 6
- Software top 5%
- Software Testing and Debugging Techniques 8
- Artificial Intelligence top 2%
- Security and Verification in Computing 31
- Cryptographic Implementations and Security 9
- Information Systems top 1%
- Digital and Cyber Forensics 13
- Spam and Phishing Detection 4
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- Network Security and Intrusion Detection 7
- Co-authors
- Johannes GötzfriedFelix FreilingSebastian SchinzelAndreas DewaldPieter MaeneIngrid VerbauwhedeDominik MaierRuan de Clercq
In The Last Decade
Tilo Müller
55 papers receiving 962 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 574
- Hardware and Architecture 193
- Software 93
- Artificial Intelligence 733
- Information Systems 471
Countries citing papers authored by Tilo Müller
This map shows the geographic impact of Tilo Müller'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 Tilo Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tilo Müller more than expected).
Fields of papers citing papers by Tilo Müller
This network shows the impact of papers produced by Tilo Müller. 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 Tilo Müller. The network helps show where Tilo Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tilo Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 0 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 8 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 15 | |
| 11 | Comparative evaluation of machine learning-based malware detection on android. | 2016 | 18 |
| 12 | Auf dem Weg verTAN: Über die Sicherheit App-basierter TAN-Verfahren. | 2016 | 2 |
| 13 | 2016 | 4 | |
| 14 | 2015 | 21 | |
| 15 | Analysing Android's Full Disk Encryption Feature. | 2014 | 14 |
| 16 | 2013 | 63 | |
| 17 | Stark - Tamperproof Authentication to Resist Keylogging. | 2013 | 4 |
| 18 | 2013 | 28 | |
| 19 | TRESOR runs encryption securely outside RAM | 2011 | 98 |
| 20 | 2010 | 43 |
About Tilo Müller
Tilo Müller is a scholar working on Signal Processing, Software, Information Systems, Artificial Intelligence and Hardware and Architecture, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (47 papers), Security and Verification in Computing (31 papers), Digital and Cyber Forensics (13 papers), Cryptographic Implementations and Security (9 papers), Software Testing and Debugging Techniques (8 papers), Network Security and Intrusion Detection (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Signal Processing (574 citations), Hardware and Architecture (193 citations), Software (93 citations), Artificial Intelligence (733 citations) and Information Systems (471 citations). Tilo Müller has collaborated with scholars based in Germany, Belgium and Türkiye. Frequent co-authors include Johannes Götzfried, Felix Freiling, Sebastian Schinzel, Andreas Dewald, Pieter Maene, Ingrid Verbauwhede, Dominik Maier, Ruan de Clercq, Behrad Garmany and Frank Piessens. Their work appears in journals such as Forensic Science International Digital Investigation, IEEE Transactions on Dependable and Secure Computing, IEEE Design and Test, ACM Transactions on Information and System Security and Journal of Information Security and Applications.
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.