Habib Dhahri

1.1k total citations
46 papers, 675 citations indexed

About

Habib Dhahri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Habib Dhahri has authored 46 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Habib Dhahri's work include Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (8 papers). Habib Dhahri is often cited by papers focused on Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (8 papers). Habib Dhahri collaborates with scholars based in Saudi Arabia, Tunisia and South Africa. Habib Dhahri's co-authors include Adel M. Alimi, Awais Mahmood, Wail S. Elkilani, Mohammed Faisal, Eslam Al Maghayreh, Ajith Abraham, Esam Othman, Tamer Abdelkader, Rafik Bouaziz and Mohamad Mahmoud Al Rahhal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Habib Dhahri

44 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Habib Dhahri Saudi Arabia 17 383 97 94 92 77 46 675
Musatafa Abbas Abbood Albadr Malaysia 17 508 1.3× 167 1.7× 75 0.8× 125 1.4× 75 1.0× 34 844
Belal Al‐Khateeb Iraq 15 396 1.0× 119 1.2× 90 1.0× 175 1.9× 73 0.9× 66 743
Salabat Khan Pakistan 15 271 0.7× 138 1.4× 167 1.8× 88 1.0× 129 1.7× 33 603
Shaimaa Ahmed Elsaid Egypt 13 310 0.8× 136 1.4× 220 2.3× 54 0.6× 57 0.7× 27 675
Sultan Almotairi Saudi Arabia 14 266 0.7× 238 2.5× 129 1.4× 128 1.4× 86 1.1× 58 873
Yaser M. Wazery Egypt 12 305 0.8× 92 0.9× 218 2.3× 36 0.4× 60 0.8× 26 811
Changcheng Huang Canada 11 375 1.0× 78 0.8× 150 1.6× 33 0.4× 112 1.5× 22 745
Abdelkader Benyettou Algeria 14 442 1.2× 165 1.7× 45 0.5× 42 0.5× 159 2.1× 78 929
Nabil Neggaz Algeria 14 590 1.5× 205 2.1× 58 0.6× 45 0.5× 89 1.2× 24 971

Countries citing papers authored by Habib Dhahri

Since Specialization
Citations

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

Fields of papers citing papers by Habib Dhahri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habib Dhahri

This figure shows the co-authorship network connecting the top 25 collaborators of Habib Dhahri. A scholar is included among the top collaborators of Habib Dhahri 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 Habib Dhahri. Habib Dhahri 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.
Dhahri, Habib, et al.. (2024). Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review. Neural Processing Letters. 56(3). 11 indexed citations
2.
Mahmood, Awais, et al.. (2024). Enhanced Classification of Phonocardiograms Using Modified Deep Learning. IEEE Access. 12. 178909–178916. 3 indexed citations
3.
Halima, Mohamed Ben, et al.. (2023). Deep architecture for super-resolution and deblurring of text images. Multimedia Tools and Applications. 83(2). 3945–3961. 1 indexed citations
4.
Mahmood, Awais, et al.. (2023). End-to-End Deep Learning Method for Detection of Invasive Parkinson’s Disease. Diagnostics. 13(6). 1088–1088. 22 indexed citations
5.
Dhahri, Habib, et al.. (2022). Reduced annotation based on deep active learning for arabic text detection in natural scene images. Pattern Recognition Letters. 157. 42–48. 4 indexed citations
6.
Rokbani, Nizar, et al.. (2022). Dpb-Mopso: A Dynamic Pareto Bi-Level Multi-Objective Particle Swarm Optimization Algorithm. SSRN Electronic Journal. 1 indexed citations
7.
Dhahri, Habib, et al.. (2022). Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights. Sensors. 22(5). 1890–1890. 21 indexed citations
8.
Dhahri, Habib, et al.. (2022). Dress-up: deep neural framework for image-based human appearance transfer. Multimedia Tools and Applications. 82(15). 23151–23178. 3 indexed citations
9.
Ouarda, Wael, et al.. (2022). Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method. Applied Intelligence. 53(6). 7254–7277. 1 indexed citations
10.
Othman, Esam, et al.. (2022). Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models. Sensors. 22(14). 5429–5429. 20 indexed citations
11.
Boubaker, Houcine, et al.. (2022). Deep learned BLSTM for online handwriting modeling simulating the Beta-Elliptic approach. Engineering Science and Technology an International Journal. 35. 101215–101215. 8 indexed citations
12.
Singh, Pradeep Kumar, Esam Othman, Rafeeq Ahmed, et al.. (2021). Optimized recommendations by user profiling using apriori algorithm. Applied Soft Computing. 106. 107272–107272. 26 indexed citations
13.
Dhahri, Habib, et al.. (2021). Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3259–3274. 7 indexed citations
14.
Mahmood, Awais, Aun Irtaza, Habib Dhahri, et al.. (2021). Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 963–979. 2 indexed citations
15.
Elkilani, Wail S., et al.. (2020). Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks. Sensors. 20(20). 5875–5875. 20 indexed citations
16.
Dhahri, Habib. (2020). Biogeography-Based Optimization for Weight Optimization in Elman Neural Network Compared with Meta-Heuristics Methods. SHILAP Revista de lepidopterología. 11(2). 82–103. 5 indexed citations
17.
Mekhalfi, Mohamed Lamine, et al.. (2017). Encoding Motion Cues for Pedestrian Path Prediction in Dense Crowd Scenarios. IEEE Access. 5. 24368–24375. 7 indexed citations
18.
Dhahri, Habib, Adel M. Alimi, & Ajith Abraham. (2014). Designing of Beta Basis Function Neural Network for optimization using cuckoo search (CS). 197. 110–116. 3 indexed citations
19.
Dhahri, Habib, Adel M. Alimi, & Ajith Abraham. (2012). Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network. Neurocomputing. 97. 131–140. 26 indexed citations
20.
Dhahri, Habib & Adel M. Alimi. (2006). The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 2938–2943. 30 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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