Ghaith Manita

458 total citations
31 papers, 283 citations indexed

About

Ghaith Manita is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ghaith Manita has authored 31 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ghaith Manita's work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (12 papers) and Data Mining Algorithms and Applications (4 papers). Ghaith Manita is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (12 papers) and Data Mining Algorithms and Applications (4 papers). Ghaith Manita collaborates with scholars based in Tunisia, India and Australia. Ghaith Manita's co-authors include Ouajdi Korbaa, Amit Chhabra, Seyedali Mirjalili, Ikbal Chaieb, Abdelkader Mami, Mohamed Limam, Yaning Xiao, Fatma A. Hashim, Mohamed Ali Hajjaji and Reham R. Mostafa and has published in prestigious journals such as International Journal of Production Research, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Ghaith Manita

27 papers receiving 272 citations

Peers

Ghaith Manita

CVPR

CTM

EEE

Ko-Wei Huang Taiwan

Emilio Corchado Spain

Siddhartha Bhattacharyya United States

R. Jensi India

Souad Amjad Morocco

Rodrigo Clemente Thom de Souza Brazil

Jinzhao Wu China

Keyvan Golalipour Iran

Shih-Pang Tseng Taiwan

A. J. Umbarkar India

Ko-Wei Huang Taiwan

Ghaith Manita

122 ×0.8

41 ×0.9

CVPR

31 ×0.7

CTM

24 ×0.8

23 ×0.8

EEE

Citations per year, relative to Ghaith Manita Ghaith Manita (= 1×) peers Ko-Wei Huang

Countries citing papers authored by Ghaith Manita

Since Specialization

Citations

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

Fields of papers citing papers by Ghaith Manita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghaith Manita

This figure shows the co-authorship network connecting the top 25 collaborators of Ghaith Manita. A scholar is included among the top collaborators of Ghaith Manita 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 Ghaith Manita. Ghaith Manita 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

Manita, Ghaith, et al.. (2025). Improved Binary Elk Herd Optimizer with Fitness Balance Distance for Feature Selection Using Gene Expression Data. 786–797.

Manita, Ghaith, et al.. (2024). Efficient Facial Emotion Recognition Using An Optimized Deep Learning Model Based On Quantum Gazelle Optimization Algorithm. Procedia Computer Science. 246. 2772–2781. 2 indexed citations

Manita, Ghaith, et al.. (2024). Chaos Game Optimization: A comprehensive study of its variants, applications, and future directions. Computer Science Review. 53. 100647–100647. 14 indexed citations

Manita, Ghaith, et al.. (2024). Dynamic Social Particle Swarm Optimization For Automatic Clustering. Procedia Computer Science. 246. 1409–1418. 2 indexed citations

Manita, Ghaith, et al.. (2024). Software Defect Prediction Using Integrated Logistic Regression and Fractional Chaotic Grey Wolf Optimizer. 633–640. 1 indexed citations

Manita, Ghaith, et al.. (2024). Gene selection for high dimensional biological datasets using hybrid island binary artificial bee colony with chaos game optimization. Artificial Intelligence Review. 57(3). 13 indexed citations

Khaldi, Mohamed, Ghaith Manita, Amit Chhabra, Ramzi Guesmi, & Tarek Hamrouni. (2024). Predicting Corporate Financial Failure Using Sigmoidal Opposition-Based Arithmetic Optimization Algorithm. Computational Economics. 66(1). 517–569. 1 indexed citations

Manita, Ghaith, et al.. (2023). Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey. Computer Science Review. 49. 100559–100559. 81 indexed citations

Manita, Ghaith, et al.. (2023). A multi-objective Chaos Game Optimization algorithm based on decomposition and random learning mechanisms for numerical optimization. Applied Soft Computing. 144. 110525–110525. 29 indexed citations

10.

Manita, Ghaith, et al.. (2023). African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems. Artificial Intelligence Review. 56(S3). 3205–3271. 2 indexed citations

11.

Manita, Ghaith, et al.. (2023). Mutated Aquila Optimizer for assisting brain tumor segmentation. Biomedical Signal Processing and Control. 88. 105089–105089. 12 indexed citations

12.

Manita, Ghaith, et al.. (2023). Hardware implementation of particle swarm optimization with chaotic fractional-order. Neural Computing and Applications. 5 indexed citations

13.

Manita, Ghaith, Amit Chhabra, & Ouajdi Korbaa. (2023). Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm. Applied Soft Computing. 144. 110478–110478. 13 indexed citations

14.

Manita, Ghaith, et al.. (2023). Mining Association Rules for a Sustainable Supply Chain Using Improved Multiobjective Crystal Structure Algorithm. 889–894. 2 indexed citations

15.

Manita, Ghaith, et al.. (2022). Improved Antlion Algorithm for Electric Vehicle Charging Station Placement. 265–271. 2 indexed citations

16.

Manita, Ghaith, et al.. (2022). A modified multi-objective slime mould algorithm with orthogonal learning for numerical association rules mining. Neural Computing and Applications. 35(8). 6125–6151. 9 indexed citations

17.

Manita, Ghaith, et al.. (2021). Binary Giza Pyramids Construction For Feature Selection. Procedia Computer Science. 192. 676–687. 8 indexed citations

18.

Manita, Ghaith & Ouajdi Korbaa. (2020). Binary Political Optimizer for Feature Selection Using Gene Expression Data. Computational Intelligence and Neuroscience. 2020. 1–14. 26 indexed citations

19.

Manita, Ghaith, Ikbal Chaieb, & Ouajdi Korbaa. (2015). A new approach for loop machine layout problem integrating proximity constraints. International Journal of Production Research. 54(3). 778–798. 5 indexed citations

20.

Manita, Ghaith & Ouajdi Korbaa. (2013). A hybrid genetic algorithm for solving machine layout problem with consideration of industrial constraints. IFAC Proceedings Volumes. 46(9). 2039–2044. 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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