Taha Ait Tchakoucht

863 total citations · 2 hit papers
19 papers, 425 citations indexed

About

Taha Ait Tchakoucht is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Taha Ait Tchakoucht has authored 19 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Taha Ait Tchakoucht's work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Taha Ait Tchakoucht is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Taha Ait Tchakoucht collaborates with scholars based in Morocco, Nigeria and Portugal. Taha Ait Tchakoucht's co-authors include Yakub Kayode Saheed, Oluwadamilare Harazeem Abdulganiyu, Mostafa Ezziyyani, Abdellah Chehri, Yassine Chaibi, Anand Paul, Rachid Saadane, T. Kousksou, El Khalil Cherif and A. El Alaoui and has published in prestigious journals such as IEEE Access, Sensors and Applied Soft Computing.

In The Last Decade

Taha Ait Tchakoucht

15 papers receiving 400 citations

Hit Papers

A systematic literature review for network intrusion dete... 2023 2026 2024 2025 2023 2024 25 50 75
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.

  1. A systematic literature review for network intrusion detection system (IDS)
    2023 94 citations Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht et al. International Journal of Information Security profile →
  2. Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities
    2024 65 citations Yakub Kayode Saheed, Oluwadamilare Harazeem Abdulganiyu et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taha Ait Tchakoucht Morocco 9 254 231 128 58 34 19 425
T. Revathi India 11 228 0.9× 96 0.4× 33 0.3× 21 0.4× 102 3.0× 49 382
Mashael M. Asiri Saudi Arabia 11 71 0.3× 88 0.4× 44 0.3× 11 0.2× 32 0.9× 38 273
Yifan Li China 10 94 0.4× 216 0.9× 66 0.5× 40 0.7× 18 0.5× 38 354
Omar Moussaoui Morocco 11 226 0.9× 136 0.6× 115 0.9× 19 0.3× 21 0.6× 23 377
Dhanalekshmi Gopinathan India 4 89 0.4× 57 0.2× 28 0.2× 21 0.4× 29 0.9× 14 252
Xuehan Wu China 7 47 0.2× 123 0.5× 84 0.7× 58 1.0× 10 0.3× 15 342
Mohammed Al-Shabi Saudi Arabia 9 91 0.4× 124 0.5× 26 0.2× 12 0.2× 84 2.5× 24 291
Mehmet Demirci Türkiye 10 233 0.9× 98 0.4× 68 0.5× 36 0.6× 69 2.0× 38 378
Yasser Alharbi Saudi Arabia 8 77 0.3× 109 0.5× 43 0.3× 16 0.3× 52 1.5× 23 244
Yingqi Li China 11 69 0.3× 174 0.8× 28 0.2× 25 0.4× 10 0.3× 41 375

Countries citing papers authored by Taha Ait Tchakoucht

Since Specialization
Citations

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

Fields of papers citing papers by Taha Ait Tchakoucht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taha Ait Tchakoucht. 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 Taha Ait Tchakoucht. The network helps show where Taha Ait Tchakoucht may publish in the future.

Co-authorship network of co-authors of Taha Ait Tchakoucht

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

All Works

19 of 19 papers shown
1.
2.
Abdulganiyu, Oluwadamilare Harazeem, Taha Ait Tchakoucht, A. El Alaoui, & Yakub Kayode Saheed. (2025). Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting. Intelligent Systems with Applications. 26. 200519–200519. 7 indexed citations
3.
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Cherif, El Khalil, et al.. (2024). Predicting Fractional Shrub Cover in Heterogeneous Mediterranean Landscapes Using Machine Learning and Sentinel-2 Imagery. Forests. 15(10). 1739–1739. 3 indexed citations
5.
Cherif, El Khalil, Taha Ait Tchakoucht, Tiago Domingos, & Vânia Proença. (2024). Integrating K-Fold Cross-Validation with Advanced Classification Techniques for Shrub Coverage Mapping in Fire-Prone Landscapes using Sentinel-2 Imagery. 7554–7559. 1 indexed citations
6.
Saheed, Yakub Kayode, Oluwadamilare Harazeem Abdulganiyu, & Taha Ait Tchakoucht. (2024). Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities. Applied Soft Computing. 155. 111434–111434. 65 indexed citations breakdown →
7.
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Tchakoucht, Taha Ait, et al.. (2024). Object Knowledge Integration for Skeleton-Based Action Recognition. Statistics Optimization & Information Computing. 12(3). 782–798.
9.
Tchakoucht, Taha Ait, et al.. (2024). A puzzle questions form training for self-supervised skeleton-based action recognition. Image and Vision Computing. 148. 105137–105137.
10.
Abdulganiyu, Oluwadamilare Harazeem, et al.. (2024). XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder. The Journal of Supercomputing. 81(1). 41 indexed citations
11.
Abdulganiyu, Oluwadamilare Harazeem, Taha Ait Tchakoucht, & Yakub Kayode Saheed. (2023). A systematic literature review for network intrusion detection system (IDS). International Journal of Information Security. 22(5). 1125–1162. 94 indexed citations breakdown →
12.
Chaibi, Yassine, et al.. (2023). Review of Reinforcement Learning for Robotic Grasping: Analysis and Recommendations. Statistics Optimization & Information Computing. 12(2). 571–601. 7 indexed citations
13.
Chehri, Abdellah, et al.. (2023). Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?. Sensors. 23(2). 734–734. 64 indexed citations
14.
Saheed, Yakub Kayode, Oluwadamilare Harazeem Abdulganiyu, & Taha Ait Tchakoucht. (2023). A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures. Journal of King Saud University - Computer and Information Sciences. 35(5). 101532–101532. 51 indexed citations
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Cherif, El Khalil, et al.. (2021). Using Machine Learning Approaches to Predict Water Quality of Ibn Battuta Dam (Tangier, Morocco). 350–354. 3 indexed citations
17.
Tchakoucht, Taha Ait & Mostafa Ezziyyani. (2018). Building A Fast Intrusion Detection System For High-Speed-Networks: Probe and DoS Attacks Detection. Procedia Computer Science. 127. 521–530. 25 indexed citations
18.
Tchakoucht, Taha Ait & Mostafa Ezziyyani. (2018). Multilayered Echo-State Machine: A Novel Architecture for Efficient Intrusion Detection. IEEE Access. 6. 72458–72468. 14 indexed citations
19.
Tchakoucht, Taha Ait, et al.. (2015). Behavioral appraoch for intrusion detection. 3029. 1–5. 3 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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