Manuel Egele

6.1k total citations · 5 hit papers
67 papers, 3.4k citations indexed

About

Manuel Egele is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Manuel Egele has authored 67 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 37 papers in Information Systems and 33 papers in Signal Processing. Recurrent topics in Manuel Egele's work include Advanced Malware Detection Techniques (33 papers), Spam and Phishing Detection (20 papers) and Security and Verification in Computing (19 papers). Manuel Egele is often cited by papers focused on Advanced Malware Detection Techniques (33 papers), Spam and Phishing Detection (20 papers) and Security and Verification in Computing (19 papers). Manuel Egele collaborates with scholars based in United States, Austria and United Kingdom. Manuel Egele's co-authors include Christopher Kruegel, Engin Kirda, Gianluca Stringhini, Theodoor Scholte, David Brumley, Giovanni Vigna, Heng Yin, Dawn Song, Yanick Fratantonio and Maverick Woo and has published in prestigious journals such as ACM Computing Surveys, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Manuel Egele

65 papers receiving 3.2k citations

Hit Papers

A survey on automated dynamic malware-analysis techniques... 2007 2026 2013 2019 2008 2007 2011 2013 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Egele United States 22 2.5k 2.0k 1.7k 1.5k 627 67 3.4k
Iulian Neamtiu United States 28 1.2k 0.5× 2.0k 1.0× 1.4k 0.9× 927 0.6× 1.4k 2.2× 104 3.2k
Benjamin Livshits United States 32 1.6k 0.6× 2.6k 1.3× 970 0.6× 1.9k 1.3× 1.1k 1.7× 115 3.6k
Christian Kreibich United States 26 1.3k 0.5× 1.3k 0.7× 2.0k 1.2× 1.5k 1.0× 128 0.2× 47 2.9k
Mihai Christodorescu United States 21 1.7k 0.7× 992 0.5× 1.3k 0.8× 813 0.5× 487 0.8× 38 2.1k
R. Sekar United States 34 2.7k 1.1× 1.4k 0.7× 2.4k 1.4× 3.1k 2.0× 335 0.5× 101 4.3k
Zhenkai Liang Singapore 27 1.7k 0.7× 1.1k 0.6× 1.1k 0.7× 1.6k 1.1× 498 0.8× 86 2.5k
Christian Rossow Germany 25 1.5k 0.6× 1.1k 0.6× 1.7k 1.0× 1.4k 0.9× 264 0.4× 60 2.5k
Leyla Bilge France 18 1.2k 0.5× 1.2k 0.6× 1.4k 0.9× 1.2k 0.8× 109 0.2× 30 2.2k
Manuel Costa United Kingdom 21 1.2k 0.5× 946 0.5× 1.2k 0.7× 1.9k 1.3× 247 0.4× 46 2.6k
Damien Octeau United States 15 3.4k 1.3× 2.1k 1.1× 1.5k 0.9× 1.1k 0.7× 1.8k 2.9× 22 3.6k

Countries citing papers authored by Manuel Egele

Since Specialization
Citations

This map shows the geographic impact of Manuel Egele'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 Manuel Egele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Egele more than expected).

Fields of papers citing papers by Manuel Egele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Egele. 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 Manuel Egele. The network helps show where Manuel Egele may publish in the future.

Co-authorship network of co-authors of Manuel Egele

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Egele. A scholar is included among the top collaborators of Manuel Egele 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 Manuel Egele. Manuel Egele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schwaller, Benjamin, Vitus J. Leung, Jim Brandt, et al.. (2024). Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning. IEEE Transactions on Parallel and Distributed Systems. 35(4). 693–706. 5 indexed citations
2.
Egele, Manuel, et al.. (2024). SURGEON: Performant, Flexible, and Accurate Re-Hosting via Transplantation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
3.
Schwaller, Benjamin, Vitus J. Leung, Jim Brandt, et al.. (2023). Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. 1–14. 4 indexed citations
5.
Mambretti, Andrea, et al.. (2022). HotFuzz: Discovering Temporal and Spatial Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing. ACM Transactions on Privacy and Security. 25(4). 1–35. 3 indexed citations
6.
Graffi, Kálmán, et al.. (2022). TargetFuzz. 561–573. 8 indexed citations
7.
Egele, Manuel, et al.. (2021). Oversharing Is Not Caring: How CNAME Cloaking Can Expose Your Session Cookies. 123–134. 6 indexed citations
8.
Coskun, Ayse K., et al.. (2019). Late Breaking Results: Towards Practical Record and Replay for Mobile Applications. Design Automation Conference.
9.
Coskun, Ayse K., et al.. (2019). RANDR: Record and Replay for Android Applications via Targeted Runtime Instrumentation. 128–138. 14 indexed citations
10.
Zhang, Yijia, et al.. (2019). HPAS. 1–10. 7 indexed citations
11.
Zhang, Yijia, Ata Türk, Jim Brandt, et al.. (2018). Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning. IEEE Transactions on Parallel and Distributed Systems. 30(4). 883–896. 42 indexed citations
12.
Han, Hyung-Seok, et al.. (2018). Fuzzing: Art, Science, and Engineering.. arXiv (Cornell University). 18 indexed citations
13.
Egele, Manuel, Maverick Woo, Peter Chapman, & David Brumley. (2018). Blanket Execution: Dynamic Similarity Testing for Program Binaries and Components. Figshare. 303–317. 64 indexed citations
14.
Koch, William R., et al.. (2017). PayBreak. 599–611. 131 indexed citations
15.
Egele, Manuel, Gianluca Stringhini, Christopher Kruegel, & Giovanni Vigna. (2015). Towards Detecting Compromised Accounts on Social Networks. IEEE Transactions on Dependable and Secure Computing. 14(4). 447–460. 113 indexed citations
16.
Egele, Manuel, Gianluca Stringhini, Christopher Krügel, & Giovanni Vigna. (2013). COMPA: Detecting Compromised Accounts on Social Networks.. UCL Discovery (University College London). 178 indexed citations
17.
Davi, Lucas, Alexandra Dmitrienko, Manuel Egele, et al.. (2012). MoCFI: A Framework to Mitigate Control-Flow Attacks on Smartphones. Network and Distributed System Security Symposium. 107 indexed citations
18.
Stringhini, Gianluca, Manuel Egele, Apostolis Zarras, et al.. (2012). B@bel: leveraging email delivery for spam mitigation. USENIX Security Symposium. 42(3). 2–2. 17 indexed citations
19.
Egele, Manuel. (2011). PiOS : Detecting privacy leaks in iOS applications. Graduate School and Research Center in Digital Science (EURECOM). 318 indexed citations breakdown →
20.
Yin, Heng, Dawn Song, Manuel Egele, Christopher Kruegel, & Engin Kirda. (2007). Panorama. 116–127. 463 indexed citations breakdown →

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.

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