Kais Bouallegue

640 total citations
37 papers, 481 citations indexed

About

Kais Bouallegue is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kais Bouallegue has authored 37 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Kais Bouallegue's work include Chaos control and synchronization (15 papers), Chaos-based Image/Signal Encryption (10 papers) and Mathematical Dynamics and Fractals (8 papers). Kais Bouallegue is often cited by papers focused on Chaos control and synchronization (15 papers), Chaos-based Image/Signal Encryption (10 papers) and Mathematical Dynamics and Fractals (8 papers). Kais Bouallegue collaborates with scholars based in Tunisia, France and Algeria. Kais Bouallegue's co-authors include Mohsen Machhout, Ahmed Toumi, Youcef Soufı, Mohcene Bechouat, Sami Kahla, Abdon Atangana, William Puech, Muhammad Shoaib, Matthieu Crussière and Mehdi Tlija and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Kais Bouallegue

33 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kais Bouallegue Tunisia	11	253	237	154	89	61	37	481
Justin Roger Mboupda Pone Cameroon	14	355 1.4×	157 0.7×	50 0.3×	201 2.3×	52 0.9×	50	486
Ana Dalia Pano-Azucena Mexico	11	493 1.9×	246 1.0×	115 0.7×	224 2.5×	68 1.1×	18	658
Mohammed F. Tolba Egypt	16	343 1.4×	302 1.3×	148 1.0×	75 0.8×	99 1.6×	43	690
Mohamed F. Abu‐Elyazeed Egypt	13	137 0.5×	314 1.3×	94 0.6×	55 0.6×	65 1.1×	35	543
Zinan Zhang China	9	381 1.5×	263 1.1×	114 0.7×	157 1.8×	49 0.8×	9	587
Joseph Yves Effa Cameroon	14	210 0.8×	302 1.3×	137 0.9×	123 1.4×	84 1.4×	49	587
Li Cui China	10	353 1.4×	227 1.0×	130 0.8×	161 1.8×	47 0.8×	21	594
Zhisen Wang China	6	204 0.8×	259 1.1×	73 0.5×	92 1.0×	62 1.0×	25	439
Fadhil Rahma Tahir Iraq	11	304 1.2×	86 0.4×	50 0.3×	167 1.9×	18 0.3×	45	431

Countries citing papers authored by Kais Bouallegue

Since Specialization

Citations

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

Fields of papers citing papers by Kais Bouallegue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kais Bouallegue

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

All Works

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20 of 20 papers shown

Karganroudi, Sasan Sattarpanah, et al.. (2025). A New Class of Hybrid LSTM-VSMN for Epileptic EEG Signal Generation and Classification. IEEE Access. 13. 162992–163005.

Puech, William, et al.. (2025). Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders. IEEE Access. 13. 17002–17015. 7 indexed citations

Bouallegue, Kais, et al.. (2025). Modeling Electrical Potential in Multi-Dendritic Neurons Using Bessel Functions. SHILAP Revista de lepidopterología. 2–2.

Bouallegue, Kais, et al.. (2024). Object Detection for Autonomous Logistics: A YOLOv4 Tiny Approach with ROS Integration and LOCO Dataset Evaluation. SHILAP Revista de lepidopterología. 65–65. 3 indexed citations

Bouallegue, Kais, et al.. (2024). A new class of chaotic attractors using different activation functions in neuron with multi dendrites. Cognitive Neurodynamics. 18(6). 3427–3446. 6 indexed citations

Bouallegue, Kais. (2024). BOUALLEGUE EQUATION SYSTEM AND ITS APPLICATIONS IN CHAOS THEORY. IFAC-PapersOnLine. 58(5). 52–59. 1 indexed citations

Puteaux, Pauline, et al.. (2023). From Diffusion to Confusion of RGB Pixels Using a New Chaotic System for Color Image Encryption. IEEE Access. 11. 49350–49366. 5 indexed citations

Zahzah, El-Hadi, et al.. (2022). Deep learning based neural network application for automatic ultrasonic computed tomographic bone image segmentation. Multimedia Tools and Applications. 81(10). 13537–13562. 9 indexed citations

Puech, William, et al.. (2022). Bibliometric study about chaotic cryptography in developing countries. SPIRE - Sciences Po Institutional REpository. 4. 291–298. 1 indexed citations

10.

Bouallegue, Kais, et al.. (2022). Smart Full-Exploitation of Beamforming Fusion assisted Spectrum Sensing for Cognitive Radio. SPIRE - Sciences Po Institutional REpository. 217–222. 1 indexed citations

11.

Puech, William, et al.. (2022). Generation of chaotic attractors using neurons with multidentrites. International Journal of Modelling Identification and Control. 40(1). 92–92. 5 indexed citations

12.

Atangana, Abdon, et al.. (2020). New multi-scroll attractors obtained via Julia set mapping. Chaos Solitons & Fractals. 134. 109722–109722. 17 indexed citations

13.

Bouallegue, Kais, et al.. (2020). Fractal, chaos and neural networks in path generation of mobile robot. International Journal of Modelling Identification and Control. 34(1). 41–41. 4 indexed citations

14.

Bouallegue, Kais, et al.. (2018). An efficient nested chaotic image encryption algorithm based on DNA sequence. International Journal of Modern Physics C. 29(7). 1850058–1850058. 17 indexed citations

15.

Bouallegue, Kais, et al.. (2018). A multi-scroll chaotic system for a higher coverage path planning of a mobile robot using flatness controller. Chaos Solitons & Fractals. 118. 366–375. 70 indexed citations

16.

Bouallegue, Kais, et al.. (2017). Designing a multi-scroll chaotic system by operating Logistic map with fractal process. Nonlinear Dynamics. 88(3). 1655–1675. 53 indexed citations

17.

Bouallegue, Kais, et al.. (2017). Face recognition system using bag of features and multi-class SVM for robot applications. 2. 263–268. 10 indexed citations

18.

Bouallegue, Kais. (2015). Gallery of Chaotic Attractors Generated by Fractal Network. International Journal of Bifurcation and Chaos. 25(1). 1530002–1530002. 23 indexed citations

19.

Soufı, Youcef, Mohcene Bechouat, Sami Kahla, & Kais Bouallegue. (2014). Maximum power point tracking using fuzzy logic control for photovoltaic system. 902–906. 30 indexed citations

20.

Bouallegue, Kais, et al.. (2007). Survey and Implementation on DSP of Algorithms of Robot Paths Generation and of Numeric Control for Mobile Robot. Journal of Applied Sciences. 7(14). 1854–1863. 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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