Tim Leek
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
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- Advanced Malware Detection Techniques 10
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- Security and Verification in Computing 7
- Co-authors
- David R. Miller (2 shared papers)Richard Schwartz (1 shared paper)Brendan Dolan-Gavitt (10 shared papers)Martin Rinard (1 shared paper)Vijay Ganesh (1 shared paper)Richard P. Lippmann (2 shared papers)Michael Zhivich (3 shared papers)Wenke Lee (2 shared papers)
- Journals
- IEEE Security & Privacy (1 paper)Genetics Selection Evolution (1 paper)Text REtrieval Conference (1 paper)ACM SIGSOFT Software Engineering Notes (1 paper)USENIX Security Symposium (2 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Tim Leek
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 53
- Software 537
- Signal Processing 655
- Information Systems 680
- Artificial Intelligence 737
- Hardware and Architecture 122
Countries citing papers authored by Tim Leek
This map shows the geographic impact of Tim Leek'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 Tim Leek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Leek more than expected).
Fields of papers citing papers by Tim Leek
This network shows the impact of papers produced by Tim Leek. 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 Tim Leek. The network helps show where Tim Leek may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Leek, 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 | 1999 | 302 | |
| 2 | 2009 | 229 | |
| 3 | 2011 | 203 | |
| 4 | 2016 | 180 | |
| 5 | 2004 | 158 | |
| 6 | 2015 | 88 | |
| 7 | 2013 | 42 | |
| 8 | 2004 | 42 | |
| 9 | Experiences in cyber security education: the MIT Lincoln laboratory capture-the-flag exercise | 2011 | 35 |
| 10 | BBN at TREC7: Using Hidden Markov Models for Information Retrieval. | 1998 | 32 |
| 11 | 2021 | 30 | |
| 12 | 2014 | 20 | |
| 13 | The Fun and Future of CTF. | 2014 | 19 |
| 14 | AutoCTF: Creating Diverse Pwnables via Automated Bug Injection | 2017 | 8 |
| 15 | fastboot oem vuln: Android Bootloader Vulnerabilities in Vendor Customizations | 2017 | 5 |
| 16 | 2019 | 3 | |
| 17 | 2021 | 1 |
About Tim Leek
Tim Leek is a scholar working on Signal Processing, Artificial Intelligence, Software, Information Systems and Computer Networks and Communications, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (7 papers), Software Reliability and Analysis Research (6 papers), Software Testing and Debugging Techniques (4 papers), Radiation Effects in Electronics (3 papers), Information and Cyber Security (2 papers), Advanced Data Storage Technologies (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Software (537 citations), Signal Processing (655 citations), Information Systems (680 citations), Artificial Intelligence (737 citations) and Hardware and Architecture (122 citations). Tim Leek has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include David R. Miller, Richard Schwartz, Brendan Dolan-Gavitt, Martin Rinard, Vijay Ganesh, Richard P. Lippmann, Michael Zhivich, Wenke Lee, Ryan Whelan and Jonathon Giffin. Their work appears in journals such as IEEE Security & Privacy, Genetics Selection Evolution, Text REtrieval Conference, ACM SIGSOFT Software Engineering Notes 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.