Asaf Shabtai

8.2k total citations · 2 hit papers
169 papers, 4.4k citations indexed

About

Asaf Shabtai is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Asaf Shabtai has authored 169 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Networks and Communications, 87 papers in Artificial Intelligence and 75 papers in Signal Processing. Recurrent topics in Asaf Shabtai's work include Network Security and Intrusion Detection (73 papers), Advanced Malware Detection Techniques (67 papers) and Anomaly Detection Techniques and Applications (30 papers). Asaf Shabtai is often cited by papers focused on Network Security and Intrusion Detection (73 papers), Advanced Malware Detection Techniques (67 papers) and Anomaly Detection Techniques and Applications (30 papers). Asaf Shabtai collaborates with scholars based in Israel, Japan and Singapore. Asaf Shabtai's co-authors include Yuval Elovici, Lior Rokach, Chanan Glezer, Moshe Kravchik, Yuval Fledel, Robert Moskovitch, Ron Bitton, Shlomi Dolev, Yair Meidan and Nils Ole Tippenhauer and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Asaf Shabtai

157 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

“Andromaly”: a behavioral malware detection framework for android devices

2011 507 citations Asaf Shabtai, Yuval Elovici et al. profile →
ProfilIoT

2017 268 citations Asaf Shabtai, Nils Ole Tippenhauer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asaf Shabtai Israel	30	2.8k	2.5k	1.8k	1.6k	493	169	4.4k
Mourad Debbabi Canada	37	2.7k 1.0×	1.8k 0.7×	2.1k 1.1×	2.0k 1.3×	505 1.0×	304	5.2k
Seyit Camtepe Australia	31	1.9k 0.7×	1.1k 0.4×	1.6k 0.9×	967 0.6×	333 0.7×	119	3.7k
Heejo Lee South Korea	27	2.8k 1.0×	1.2k 0.5×	1.6k 0.9×	1.0k 0.7×	273 0.6×	123	3.9k
Aziz Mohaisen United States	34	2.2k 0.8×	1.5k 0.6×	1.6k 0.8×	1.8k 1.2×	177 0.4×	230	3.9k
Fabio Martinelli Italy	30	2.1k 0.7×	1.9k 0.8×	1.5k 0.8×	1.6k 1.0×	573 1.2×	337	4.1k
Karl Levitt United States	30	3.2k 1.1×	1.5k 0.6×	1.9k 1.0×	1.1k 0.7×	579 1.2×	123	4.7k
Arash Habibi Lashkari Canada	25	5.8k 2.1×	3.3k 1.3×	4.8k 2.6×	1.3k 0.8×	134 0.3×	111	6.9k
Dan Pei China	42	5.0k 1.8×	1.0k 0.4×	3.4k 1.9×	996 0.6×	343 0.7×	212	6.1k
Suman Nath United States	40	3.5k 1.2×	1.1k 0.4×	1.2k 0.7×	1.6k 1.0×	406 0.8×	151	5.4k

Countries citing papers authored by Asaf Shabtai

Since Specialization

Citations

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

Fields of papers citing papers by Asaf Shabtai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asaf Shabtai

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

20 of 20 papers shown

Schwartz, Yuval, et al.. (2025). LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI. 1922–1941. 5 indexed citations

Momiyama, S., et al.. (2024). CyberShapley: Explanation, prioritization, and triage of cybersecurity alerts using informative graph representation. Computers & Security. 150. 104270–104270. 1 indexed citations

Elovici, Yuval, et al.. (2024). Detection of compromised functions in a serverless cloud environment. Computers & Security. 150. 104261–104261. 2 indexed citations

Shabtai, Asaf, et al.. (2023). Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and Solutions. Sensors. 23(8). 4018–4018. 3 indexed citations

Shabtai, Asaf, et al.. (2023). Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. abs 1506 3365. 1–10. 1 indexed citations

Groza, Bogdan, et al.. (2022). Fingerprinting Smartphones Based on Microphone Characteristics From Environment Affected Recordings. IEEE Access. 10. 122399–122413. 3 indexed citations

Elovici, Yuval, et al.. (2022). RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks. Sensors. 22(11). 4259–4259. 6 indexed citations

Shabtai, Asaf, et al.. (2022). Not all datasets are born equal: On heterogeneous tabular data and adversarial examples. Knowledge-Based Systems. 242. 108377–108377. 10 indexed citations

Bitton, Ron, et al.. (2022). Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems. ACM Computing Surveys. 55(9). 1–36. 13 indexed citations

10.

Fischer, Sebastian, et al.. (2022). BENN: Bias Estimation Using a Deep Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 117–131. 3 indexed citations

11.

Groza, Bogdan, et al.. (2021). Sweep-to-Unlock: Fingerprinting Smartphones Based on Loudspeaker Roll-Off Characteristics. IEEE Transactions on Mobile Computing. 22(4). 2417–2434. 6 indexed citations

12.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2020). Adversarial Learning in the Cyber Security Domain. arXiv (Cornell University). 6 indexed citations

13.

Levy, Moshe, et al.. (2020). GLOD: Gaussian Likelihood Out of Distribution Detector.. arXiv (Cornell University). 1 indexed citations

14.

Shabtai, Asaf, et al.. (2020). A Self-Healing Mechanism for Internet of Things Devices. IEEE Security & Privacy. 19(1). 44–53. 4 indexed citations

15.

Elovici, Yuval, et al.. (2019). Intrusion Detection System for the MIL-STD-1553 Communication Bus. IEEE Transactions on Aerospace and Electronic Systems. 56(4). 3010–3027. 27 indexed citations

16.

Rosenberg, Ishai, Asaf Shabtai, Yuval Elovici, & Lior Rokach. (2018). Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers.. arXiv (Cornell University). 4 indexed citations

17.

Bitton, Ron, et al.. (2018). Analysis of Location Data Leakage in the Internet Traffic of Android-based Mobile Devices. arXiv (Cornell University). 243–260. 1 indexed citations

18.

Rosenberg, Ishai, Asaf Shabtai, Lior Rokach, & Yuval Elovici. (2017). Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers.. arXiv (Cornell University). 13 indexed citations

19.

Shabtai, Asaf, et al.. (2016). Advanced Security Testbed Framework for Wearable IoT Devices. ACM Transactions on Internet Technology. 16(4). 1–25. 49 indexed citations

20.

Shabtai, Asaf, et al.. (2013). Detecting malware through temporal function-based features.. 1379–1382. 1 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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