Benjamin Andow
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Advanced Malware Detection Techniques 11
- Software 4
- Software Testing and Debugging Techniques 4
- Co-authors
- William Enck (10 shared papers)Tao Xie (3 shared papers)Wei Ming Yang (1 shared paper)Xusheng Xiao (1 shared paper)Sihan Li (1 shared paper)Kapil Singh (4 shared papers)Adwait Nadkarni (5 shared papers)Bradley Reaves (3 shared papers)
- Journals
- ACM Computing Surveys (1 paper)Open Repository and Bibliography (University of Luxembourg) (1 paper)USENIX Security Symposium (4 papers)
- Partner nations
- United StatesGermanyLuxembourg
In The Last Decade
Benjamin Andow
12 papers receiving 367 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 270
- Software 91
- Information Systems 206
- Computer Networks and Communications 146
- Artificial Intelligence 134
Countries citing papers authored by Benjamin Andow
This map shows the geographic impact of Benjamin Andow'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 Benjamin Andow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Andow more than expected).
Fields of papers citing papers by Benjamin Andow
This network shows the impact of papers produced by Benjamin Andow. 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 Benjamin Andow. The network helps show where Benjamin Andow may publish in the future.
Co-authors
The 20 scholars most cited alongside Benjamin Andow, 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 | 2015 | 128 | |
| 2 | Policylint: Investigating internal privacy policy contradictions on google play | 2019 | 52 |
| 3 | Actions Speak Louder than Words: Entity-Sensitive Privacy Policy and Data Flow Analysis with PoliCheck | 2020 | 37 |
| 4 | 2021 | 34 | |
| 5 | 2017 | 31 | |
| 6 | Practical {DIFC} Enforcement on Android | 2016 | 28 |
| 7 | 2016 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2019 | 14 | |
| 10 | Cardpliance: {PCI} {DSS} Compliance of Android Applications | 2020 | 5 |
| 11 | 2015 | 3 | |
| 12 | 2024 | 1 |
About Benjamin Andow
Benjamin Andow is a scholar working on Signal Processing, Software, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (7 papers), Software Testing and Debugging Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Digital and Cyber Forensics (3 papers), Security and Verification in Computing (2 papers), Privacy, Security, and Data Protection (2 papers) and Software Engineering Research (1 paper). The work is most often cited by research in Signal Processing (270 citations), Software (91 citations), Information Systems (206 citations), Computer Networks and Communications (146 citations) and Artificial Intelligence (134 citations). Benjamin Andow has collaborated with scholars based in United States, Germany and Luxembourg. Frequent co-authors include William Enck, Tao Xie, Wei Ming Yang, Xusheng Xiao, Sihan Li, Kapil Singh, Adwait Nadkarni, Bradley Reaves, Wenyu Wang and Somesh Jha. Their work appears in journals such as ACM Computing Surveys, Open Repository and Bibliography (University of Luxembourg) and USENIX Security Symposium.
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.