Feargus Pendlebury

455 total citations
9 papers, 103 citations indexed

About

Feargus Pendlebury is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Feargus Pendlebury has authored 9 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Feargus Pendlebury's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Feargus Pendlebury is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Feargus Pendlebury collaborates with scholars based in United Kingdom, United States and Germany. Feargus Pendlebury's co-authors include Fabio Pierazzi, Lorenzo Cavallaro, Annalisa Appice, Giuseppina Andresini, Corrado Appice Annalisa Malerba Donato Loglisci, Johannes Kinder, Alexander Warnecke, Konrad Rieck, Christian Wressnegger and Daniel J. Arp and has published in prestigious journals such as Communications of the ACM, IEEE Security & Privacy and ACM Transactions on Privacy and Security.

In The Last Decade

Feargus Pendlebury

9 papers receiving 102 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feargus Pendlebury United Kingdom	6	75	73	49	15	9	9	103
Bojan Kolosnjaji Germany	3	70 0.9×	52 0.7×	76 1.6×	49 3.3×	8 0.9×	5	97
Sylvain Gombault France	6	101 1.3×	67 0.9×	65 1.3×	34 2.3×	9 1.0×	7	120
Ishai Rosenberg Israel	6	37 0.5×	47 0.6×	42 0.9×	11 0.7×	4 0.4×	10	60
Bobby Filar United States	2	103 1.4×	88 1.2×	97 2.0×	50 3.3×	2 0.2×	3	137
Mihai Cimpoeşu Romania	3	96 1.3×	48 0.7×	113 2.3×	49 3.3×	15 1.7×	3	120
Hisham S. Galal Egypt	3	123 1.6×	48 0.7×	121 2.5×	73 4.9×	14 1.6×	4	141
Nadim Kobeissi France	2	78 1.0×	64 0.9×	20 0.4×	67 4.5×	5 0.6×	2	108
T. Frazier United States	4	57 0.8×	31 0.4×	21 0.4×	30 2.0×	5 0.6×	5	77
Essam Ghadafi United Kingdom	6	63 0.8×	82 1.1×	42 0.9×	33 2.2×		12	116
Patrick Stewin Germany	6	59 0.8×	93 1.3×	43 0.9×	77 5.1×	2 0.2×	9	122

Countries citing papers authored by Feargus Pendlebury

Since Specialization

Citations

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

Fields of papers citing papers by Feargus Pendlebury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feargus Pendlebury

This figure shows the co-authorship network connecting the top 25 collaborators of Feargus Pendlebury. A scholar is included among the top collaborators of Feargus Pendlebury 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 Feargus Pendlebury. Feargus Pendlebury 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:

9 of 9 papers shown

1.

Arp, Daniel J., et al.. (2025). Intriguing Properties of Adversarial ML Attacks in the Problem Space [Extended Version]. ACM Transactions on Privacy and Security. 28(4). 1–37. 1 indexed citations

2.

Arp, Daniel J., Feargus Pendlebury, Alexander Warnecke, et al.. (2024). Pitfalls in Machine Learning for Computer Security. Communications of the ACM. 67(11). 104–112. 1 indexed citations

3.

Arp, Daniel J., Feargus Pendlebury, Alexander Warnecke, et al.. (2023). Lessons Learned on Machine Learning for Computer Security. IEEE Security & Privacy. 21(5). 72–77. 11 indexed citations

4.

Cavallaro, Lorenzo, Johannes Kinder, Feargus Pendlebury, & Fabio Pierazzi. (2023). Are Machine Learning Models for Malware Detection Ready for Prime Time?. IEEE Security & Privacy. 21(2). 53–56. 8 indexed citations

5.

Chen, Zhi, Feargus Pendlebury, Kevin Tu, et al.. (2023). Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. 719–736. 10 indexed citations

6.

Chen, Zhi, Limin Yang, Feargus Pendlebury, et al.. (2023). Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. 21–28. 2 indexed citations

7.

Pendlebury, Feargus, et al.. (2021). Investigating Labelless Drift Adaptation for Malware Detection. 123–134. 14 indexed citations

8.

Andresini, Giuseppina, Feargus Pendlebury, Fabio Pierazzi, et al.. (2021). INSOMNIA. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 111–122. 51 indexed citations

9.

Pendlebury, Feargus, et al.. (2018). Enabling Fair ML Evaluations for Security. Research Portal (King's College London). 2264–2266. 5 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.

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