Tim Leek

2.3k total citations
17 papers, 1.4k citations indexed

About

Tim Leek is a scholar working on Signal Processing, Artificial Intelligence and Software. According to data from OpenAlex, Tim Leek has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 8 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Tim Leek's work include Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (7 papers) and Software Reliability and Analysis Research (6 papers). Tim Leek is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (7 papers) and Software Reliability and Analysis Research (6 papers). Tim Leek collaborates with scholars based in United States, France and Switzerland. Tim Leek's 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 and has published in prestigious journals such as Genetics Selection Evolution, IEEE Security & Privacy and USENIX Security Symposium.

In The Last Decade

Tim Leek

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tim Leek United States	13	737	680	655	537	280	17	1.4k
Veselin Raychev Switzerland	20	621 0.8×	1.2k 1.8×	550 0.8×	869 1.6×	450 1.6×	34	1.6k
Christopher Salls United States	7	570 0.8×	508 0.7×	914 1.4×	756 1.4×	250 0.9×	8	1.3k
Vinod Ganapathy United States	22	868 1.2×	608 0.9×	607 0.9×	148 0.3×	533 1.9×	70	1.3k
Hakjoo Oh South Korea	18	434 0.6×	694 1.0×	479 0.7×	669 1.2×	141 0.5×	63	1.1k
Fan Long Canada	19	424 0.6×	1.2k 1.7×	406 0.6×	1.2k 2.2×	402 1.4×	44	1.8k
Martin Monperrus Sweden	19	357 0.5×	1.4k 2.0×	336 0.5×	1.4k 2.5×	412 1.5×	73	1.9k
Vu Le United States	16	426 0.6×	760 1.1×	256 0.4×	922 1.7×	259 0.9×	43	1.4k
Edward J. Schwartz United States	13	511 0.7×	455 0.7×	581 0.9×	351 0.7×	171 0.6×	25	939
Charles Zhang Hong Kong	18	395 0.5×	541 0.8×	275 0.4×	662 1.2×	529 1.9×	75	1.2k
Michael Y. Levin United States	12	552 0.7×	819 1.2×	807 1.2×	1.5k 2.8×	297 1.1×	18	1.9k

Countries citing papers authored by Tim Leek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Leek

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Leek. A scholar is included among the top collaborators of Tim Leek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Leek. Tim Leek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Leek, Tim, et al.. (2021). PyPANDA: Taming the PANDAmonium of Whole System Dynamic Analysis. 1 indexed citations

2.

Muench, Marius, Tim Leek, Brendan Dolan-Gavitt, et al.. (2021). SoK: Enabling Security Analyses of Embedded Systems via Rehosting. VU Research Portal. 687–701. 30 indexed citations

3.

Leek, Tim, et al.. (2019). The Rode0day to Less-Buggy Programs. IEEE Security & Privacy. 17(6). 84–88. 3 indexed citations

4.

Leek, Tim, et al.. (2017). AutoCTF: Creating Diverse Pwnables via Automated Bug Injection. USENIX Security Symposium. 8 indexed citations

5.

Shaik, Altaf, Ravishankar Borgaonkar, Federico Maggi, et al.. (2017). fastboot oem vuln: Android Bootloader Vulnerabilities in Vendor Customizations. 5 indexed citations

6.

Dolan-Gavitt, Brendan, et al.. (2016). LAVA: Large-Scale Automated Vulnerability Addition. 110–121. 180 indexed citations

7.

Dolan-Gavitt, Brendan, et al.. (2015). Repeatable Reverse Engineering with PANDA. 1–11. 88 indexed citations

8.

Leek, Tim, et al.. (2014). The Fun and Future of CTF.. Genetics Selection Evolution. 19 indexed citations

9.

Dolan-Gavitt, Brendan, et al.. (2014). Repeatable Reverse Engineering for the Greater Good with PANDA. Columbia Academic Commons (Columbia University). 20 indexed citations

10.

Dolan-Gavitt, Brendan, et al.. (2013). Tappan Zee (north) bridge. 839–850. 42 indexed citations

11.

Dolan-Gavitt, Brendan, Tim Leek, Michael Zhivich, Jonathon Giffin, & Wenke Lee. (2011). Virtuoso: Narrowing the Semantic Gap in Virtual Machine Introspection. 297–312. 203 indexed citations

12.

Zhivich, Michael, et al.. (2011). Experiences in cyber security education: the MIT Lincoln laboratory capture-the-flag exercise. USENIX Security Symposium. 12–12. 35 indexed citations

13.

Ganesh, Vijay, Tim Leek, & Martin Rinard. (2009). Taint-based directed whitebox fuzzing. DSpace@MIT (Massachusetts Institute of Technology). 474–484. 229 indexed citations

14.

Lippmann, Richard P., et al.. (2004). Testing static analysis tools using exploitable buffer overflows from open source code. 97–106. 158 indexed citations

15.

Lippmann, Richard P., et al.. (2004). Testing static analysis tools using exploitable buffer overflows from open source code. ACM SIGSOFT Software Engineering Notes. 29(6). 97–106. 42 indexed citations

16.

Miller, David R., Tim Leek, & Richard Schwartz. (1999). A hidden Markov model information retrieval system. 214–221. 302 indexed citations

17.

Miller, David R., Tim Leek, & Richard Schwartz. (1998). BBN at TREC7: Using Hidden Markov Models for Information Retrieval.. Text REtrieval Conference. 80–89. 32 indexed citations

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.

Explore authors with similar magnitude of impact