Adel Abusitta

719 total citations
24 papers, 427 citations indexed

About

Adel Abusitta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Adel Abusitta has authored 24 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Adel Abusitta's work include Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Malware Detection Techniques (5 papers). Adel Abusitta is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Malware Detection Techniques (5 papers). Adel Abusitta collaborates with scholars based in Canada, Jordan and United Arab Emirates. Adel Abusitta's co-authors include Benjamin C. M. Fung, Talal Halabi, Martine Bellaïche, Michel Dagenais, Omar Abdel Wahab, Azzam Sleit, Esma Aı̈meur, Patrick Cardinal, Wesam Almobaideen and Glaucio H. S. Carvalho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition Letters.

In The Last Decade

Adel Abusitta

24 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adel Abusitta Canada 10 267 239 178 103 46 24 427
K. Muneeswaran United States 8 208 0.8× 290 1.2× 108 0.6× 63 0.6× 46 1.0× 24 408
Richard Zuech United States 8 326 1.2× 267 1.1× 167 0.9× 105 1.0× 18 0.4× 15 423
Hequn Xian China 12 199 0.7× 197 0.8× 142 0.8× 207 2.0× 36 0.8× 36 401
Kamal Al‐Sabahi China 6 313 1.2× 429 1.8× 179 1.0× 41 0.4× 21 0.5× 11 518
Mi-Jung Choi South Korea 10 329 1.2× 141 0.6× 188 1.1× 115 1.1× 28 0.6× 54 423
Dapeng Liu China 6 220 0.8× 245 1.0× 103 0.6× 66 0.6× 38 0.8× 16 339
Ya Xiao United States 8 136 0.5× 204 0.9× 169 0.9× 123 1.2× 27 0.6× 26 338
S. Selvakumar India 11 495 1.9× 402 1.7× 285 1.6× 104 1.0× 17 0.4× 38 602
Xing Gao United States 10 208 0.8× 193 0.8× 127 0.7× 157 1.5× 28 0.6× 30 399
Mahmood Yousefi‐Azar Australia 5 219 0.8× 313 1.3× 152 0.9× 76 0.7× 37 0.8× 6 430

Countries citing papers authored by Adel Abusitta

Since Specialization
Citations

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

Fields of papers citing papers by Adel Abusitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Abusitta

This figure shows the co-authorship network connecting the top 25 collaborators of Adel Abusitta. A scholar is included among the top collaborators of Adel Abusitta 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 Adel Abusitta. Adel Abusitta 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.
Bataineh, Ahmed Saleh, Mohammad Zulkernine, Adel Abusitta, & Talal Halabi. (2024). Detecting Poisoning Attacks in Collaborative IDSs of Vehicular Networks Using XAI and Shapley Value. PolyPublie (École Polytechnique de Montréal). 2(3). 1–21. 2 indexed citations
2.
Abusitta, Adel, et al.. (2024). Survey on Explainable AI: Techniques, challenges and open issues. Expert Systems with Applications. 255. 124710–124710. 32 indexed citations
3.
Abusitta, Adel, et al.. (2022). Bi-discriminator GAN for tabular data synthesis. Pattern Recognition Letters. 159. 204–210. 13 indexed citations
4.
Abusitta, Adel, et al.. (2022). Deep learning-enabled anomaly detection for IoT systems. Internet of Things. 21. 100656–100656. 84 indexed citations
5.
Abusitta, Adel, et al.. (2022). Deep Learning-Enabled Anomaly Detection for IoT Systems. SSRN Electronic Journal. 4 indexed citations
6.
Abusitta, Adel, et al.. (2021). Malware classification and composition analysis: A survey of recent developments. Journal of Information Security and Applications. 59. 102828–102828. 70 indexed citations
7.
Abusitta, Adel, Omar Abdel Wahab, & Benjamin C. M. Fung. (2021). VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping. PolyPublie (École Polytechnique de Montréal). 1–6. 10 indexed citations
8.
Abusitta, Adel, et al.. (2021). Bi-Discriminator Gan for Tabular Data Synthesis. SSRN Electronic Journal. 3 indexed citations
9.
Abusitta, Adel, et al.. (2020). Teens-Online: a Game Theory-Based Collaborative Platform for Privacy Education. International Journal of Artificial Intelligence in Education. 31(4). 726–768. 8 indexed citations
10.
Abusitta, Adel, Omar Abdel Wahab, & Talal Halabi. (2020). Deep learning for proactive cooperative malware detection system. PolyPublie (École Polytechnique de Montréal). 1–8. 1 indexed citations
11.
Abusitta, Adel, et al.. (2020). A Stable Personalised Partner Selection for Collaborative Privacy Education. PolyPublie (École Polytechnique de Montréal). 47–52. 4 indexed citations
12.
Abusitta, Adel, Martine Bellaïche, & Michel Dagenais. (2019). Multi-cloud cooperative intrusion detection system: trust and fairness assurance. Annals of Telecommunications. 74(9-10). 637–653. 5 indexed citations
13.
Halabi, Talal, Martine Bellaïche, & Adel Abusitta. (2019). Toward Secure Resource Allocation in Mobile Cloud Computing: A Matching Game. PolyPublie (École Polytechnique de Montréal). 370–374. 7 indexed citations
14.
Abusitta, Adel, Martine Bellaïche, Michel Dagenais, & Talal Halabi. (2019). A deep learning approach for proactive multi-cloud cooperative intrusion detection system. Future Generation Computer Systems. 98. 308–318. 95 indexed citations
15.
Halabi, Talal, Martine Bellaïche, & Adel Abusitta. (2018). Online Allocation of Cloud Resources Based on Security Satisfaction. PolyPublie (École Polytechnique de Montréal). 379–384. 6 indexed citations
16.
Abusitta, Adel, Martine Bellaïche, & Michel Dagenais. (2018). An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment. Journal of Cloud Computing Advances Systems and Applications. 7(1). 29 indexed citations
17.
Abusitta, Adel, Martine Bellaïche, & Michel Dagenais. (2018). A trust-based game theoretical model for cooperative intrusion detection in multi-cloud environments. PolyPublie (École Polytechnique de Montréal). 1–8. 11 indexed citations
18.
Halabi, Talal, Martine Bellaïche, & Adel Abusitta. (2018). Cloud Security Up for Auction: a DSIC Online Mechanism for Secure IaaS Resource Allocation. PolyPublie (École Polytechnique de Montréal). 1–8. 5 indexed citations
19.
Abusitta, Adel, Martine Bellaïche, & Michel Dagenais. (2018). On trustworthy federated clouds: A coalitional game approach. Computer Networks. 145. 52–63. 2 indexed citations
20.
Sleit, Azzam & Adel Abusitta. (2007). A Visual Cryptography Based Watermark Technology for Individual and Group Images. SHILAP Revista de lepidopterología. 7 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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