Andrew Ruef
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Information and Cyber Security 4
- Cybercrime and Law Enforcement Studies 2
- Software Engineering Research 1
-
- Advanced Malware Detection Techniques 4
- Co-authors
- Michael Hicks (5 shared papers)Shiyi Wei (1 shared paper)Paulo Shakarian (5 shared papers)Jana Shakarian (1 shared paper)ThanhVu Nguyen (1 shared paper)David Tarditi (1 shared paper)Eric Nunes (4 shared papers)Gerardo I. Simari (3 shared papers)
- Journals
- ACM Transactions on Privacy and Security (1 paper)SpringerBriefs in computer science (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Andrew Ruef
9 papers receiving 485 citations
Andrew Ruef's Hit Papers
Peers
Comparison fields: 5 of 40
- Software 301
- Signal Processing 226
- Information Systems 218
- Hardware and Architecture 55
- Artificial Intelligence 171
Countries citing papers authored by Andrew Ruef
This map shows the geographic impact of Andrew Ruef'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 Andrew Ruef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ruef more than expected).
Fields of papers citing papers by Andrew Ruef
This network shows the impact of papers produced by Andrew Ruef. 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 Andrew Ruef. The network helps show where Andrew Ruef may publish in the future.
Co-authors
The 13 scholars most cited alongside Andrew Ruef, 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 | Evaluating Fuzz Testing Hit paper breakdown → | 2018 | 379 |
| 2 | Introduction to Cyber-Warfare: A Multidisciplinary Approach | 2013 | 37 |
| 3 | 2017 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2020 | 11 | |
| 6 | 2016 | 8 | |
| 7 | 2018 | 4 | |
| 8 | 2015 | 3 | |
| 9 | Build it break it: measuring and comparing development security | 2015 | 1 |
| 10 | 2017 | 0 |
About Andrew Ruef
Andrew Ruef is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Software and Computer Networks and Communications, having authored 10 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Information and Cyber Security (4 papers), Software Reliability and Analysis Research (3 papers), Cybercrime and Law Enforcement Studies (2 papers), Software Testing and Debugging Techniques (2 papers), Security and Verification in Computing (2 papers), Crime Patterns and Interventions (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Software (301 citations), Signal Processing (226 citations), Information Systems (218 citations), Hardware and Architecture (55 citations) and Artificial Intelligence (171 citations). Andrew Ruef has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Michael Hicks, Shiyi Wei, Paulo Shakarian, Jana Shakarian, ThanhVu Nguyen, David Tarditi, Eric Nunes, Gerardo I. Simari, Dave Levin and Piotr Mardziel. Their work appears in journals such as ACM Transactions on Privacy and Security, SpringerBriefs in computer science and CERN Document Server (European Organization for Nuclear Research).
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.