M. Hassaballah

4.5k total citations · 1 hit paper
84 papers, 2.8k citations indexed

About

M. Hassaballah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, M. Hassaballah has authored 84 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in M. Hassaballah's work include Face and Expression Recognition (15 papers), Biometric Identification and Security (15 papers) and Face recognition and analysis (14 papers). M. Hassaballah is often cited by papers focused on Face and Expression Recognition (15 papers), Biometric Identification and Security (15 papers) and Face recognition and analysis (14 papers). M. Hassaballah collaborates with scholars based in Egypt, Saudi Arabia and India. M. Hassaballah's co-authors include Essam H. Houssein, Ali Ismail Awad, Saleh Aly, Mohamed Abdel Hameed, Mohammed R. Saad, Hassan Shaban, Fatma A. Hashim, Khan Muhammad, Mourad A. Kenk and Mosa E. Hosney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

M. Hassaballah

79 papers receiving 2.6k citations

Hit Papers

Lévy flight distribution: A new metaheuristic algorithm f... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hassaballah Egypt 27 1.2k 911 299 271 218 84 2.8k
Zhenmin Tang China 27 1.3k 1.1× 872 1.0× 400 1.3× 213 0.8× 139 0.6× 221 2.6k
Dawid Połap Poland 28 702 0.6× 1.1k 1.2× 202 0.7× 145 0.5× 284 1.3× 113 2.6k
Reza Safabakhsh Iran 23 1.1k 0.9× 928 1.0× 291 1.0× 148 0.5× 240 1.1× 110 2.4k
Guopu Zhu China 25 1.4k 1.1× 882 1.0× 325 1.1× 124 0.5× 275 1.3× 81 2.6k
Yanan Sun China 23 2.1k 1.8× 1.8k 2.0× 369 1.2× 123 0.5× 216 1.0× 91 4.2k
Daniel Zaldívar Mexico 27 961 0.8× 1.3k 1.5× 543 1.8× 86 0.3× 310 1.4× 96 2.7k
Marco Wiering Netherlands 31 720 0.6× 1.3k 1.4× 321 1.1× 114 0.4× 311 1.4× 135 3.3k
Jiancheng Lv China 29 2.0k 1.7× 1.8k 2.0× 145 0.5× 143 0.5× 171 0.8× 195 3.9k
Marco Pérez‐Cisneros Mexico 31 956 0.8× 1.4k 1.5× 511 1.7× 83 0.3× 481 2.2× 144 3.0k

Countries citing papers authored by M. Hassaballah

Since Specialization
Citations

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

Fields of papers citing papers by M. Hassaballah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hassaballah

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hassaballah. A scholar is included among the top collaborators of M. Hassaballah 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 M. Hassaballah. M. Hassaballah 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.
Hassaballah, M., Chiara Pero, Ranjeet Kumar Rout, & Saiyed Umer. (2025). Integrating end-to-end multimodal deep learning and domain adaptation for robust facial expression recognition. Image and Vision Computing. 159. 105548–105548.
2.
Hassaballah, M. & Mohamed Abdel Hameed. (2025). Novel Metaheuristic Algorithms and Their Applications to Efficient Detection of Diabetic Retinopathy. Journal of Artificial Intelligence and Soft Computing Research. 15(2). 167–195. 1 indexed citations
3.
Hameed, Mohamed Abdel, et al.. (2024). A novel medical steganography technique based on Adversarial Neural Cryptography and digital signature using least significant bit replacement. SHILAP Revista de lepidopterología. 5. 379–397. 10 indexed citations
4.
Hu, Weitong, et al.. (2024). Privacy-preserving face recognition method based on extensible feature extraction. Journal of Visual Communication and Image Representation. 100. 104140–104140. 3 indexed citations
5.
Hameed, Mohamed Abdel, M. Hassaballah, & Tong Qiao. (2024). IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networks. Multimedia Systems. 30(3). 5 indexed citations
6.
Naveen, Palanichamy & M. Hassaballah. (2024). Scene text detection using structured information and an end-to-end trainable generative adversarial networks. Pattern Analysis and Applications. 27(2). 3 indexed citations
7.
Chouchane, Ammar, et al.. (2023). High-order knowledge-based Discriminant features for kinship verification. Pattern Recognition Letters. 175. 30–37. 15 indexed citations
8.
Chouchane, Ammar, et al.. (2023). Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features. Engineering Applications of Artificial Intelligence. 128. 107521–107521. 10 indexed citations
9.
Hafiz, Abdul Mueed, M. Hassaballah, Abdullah Alqahtani, Shtwai Alsubai, & Mohamed Abdel Hameed. (2023). Reinforcement Learning with an Ensemble of Binary Action Deep Q-Networks. Computer Systems Science and Engineering. 46(3). 2651–2666. 19 indexed citations
10.
Guleria, Pratiyush, Parvathaneni Naga Srinivasu, & M. Hassaballah. (2023). Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm. Multimedia Tools and Applications. 83(14). 40677–40712. 13 indexed citations
11.
Attıa, Abdelouahab, et al.. (2023). An Archive-Guided Equilibrium Optimizer Based on Epsilon Dominance for Multi-Objective Optimization Problems. Mathematics. 11(12). 2680–2680. 4 indexed citations
12.
Ullah, Waseem, Tanveer Hussain, Fath U Min Ullah, et al.. (2023). AD‐Graph: Weakly Supervised Anomaly Detection Graph Neural Network. International Journal of Intelligent Systems. 2023(1). 6 indexed citations
13.
Khan, Khalil, et al.. (2020). A Modulo Function-Based Robust Asymmetric Variable Data Hiding Using DCT. Symmetry. 12(10). 1659–1659. 8 indexed citations
14.
Mewada, Hiren, et al.. (2020). Spectral–Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification. Sensors. 20(17). 4747–4747. 39 indexed citations
15.
Houssein, Essam H., Mosa E. Hosney, Mohamed Elhoseny, et al.. (2020). Hybrid Harris hawks optimization with cuckoo search for drug design and discovery in chemoinformatics. Scientific Reports. 10(1). 14439–14439. 88 indexed citations
16.
Hameed, Mohamed Abdel, M. Hassaballah, Saleh Aly, & Ali Ismail Awad. (2019). An Adaptive Image Steganography Method Based on Histogram of Oriented Gradient and PVD-LSB Techniques. IEEE Access. 7. 185189–185204. 76 indexed citations
17.
Kenk, Mourad A., et al.. (2019). Human-aware Robot Navigation in Logistics Warehouses. 371–378. 11 indexed citations
18.
Elaraby, Ahmed, et al.. (2013). Edge Detection of Noisy Medical Images Based Mixed Entropy. Journals & Books Hosting (International Knowledge Sharing Platform). 4(13). 97–106. 2 indexed citations
19.
Hassaballah, M., et al.. (2011). Eye and Nose Fields Detection from Gray Scale Facial Images.. Machine Vision and Applications. 406–409. 12 indexed citations
20.
Hassaballah, M., et al.. (2009). Eye Detection Using Intensity and Appearance Information.. Machine Vision and Applications. 346–349. 10 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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