Dheeb Albashish

513 total citations
20 papers, 345 citations indexed

About

Dheeb Albashish is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dheeb Albashish has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dheeb Albashish's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Dheeb Albashish is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Dheeb Albashish collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Dheeb Albashish's co-authors include Malik Braik, Abdelaziz I. Hammouri, Jaffar Atwan, Shahnorbanun Sahran, Mohammed Alweshah, Ruba Abu Khurma, Osama Dorgham, Majdi Mafarja, Abdulrahman Alreshidi and Eissa Jaber Alreshidi and has published in prestigious journals such as PLoS ONE, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

Dheeb Albashish

16 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dheeb Albashish Jordan 10 214 68 45 36 31 20 345
Ko-Wei Huang Taiwan 9 122 0.6× 41 0.6× 31 0.7× 23 0.6× 23 0.7× 29 269
Yuexuan An China 11 223 1.0× 152 2.2× 29 0.6× 17 0.5× 24 0.8× 22 372
Waleed Yamany Egypt 10 225 1.1× 48 0.7× 68 1.5× 12 0.3× 61 2.0× 11 330
Shih-Pang Tseng Taiwan 10 128 0.6× 58 0.9× 53 1.2× 15 0.4× 83 2.7× 74 357
Aziz Ouaarab Morocco 3 194 0.9× 53 0.8× 59 1.3× 16 0.4× 36 1.2× 6 349
Changbing Li China 6 161 0.8× 160 2.4× 27 0.6× 21 0.6× 26 0.8× 11 325
Adnan Acan Cyprus 10 127 0.6× 64 0.9× 61 1.4× 12 0.3× 24 0.8× 36 329
Adis Alihodžić Bosnia and Herzegovina 9 161 0.8× 145 2.1× 37 0.8× 8 0.2× 38 1.2× 25 352

Countries citing papers authored by Dheeb Albashish

Since Specialization
Citations

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

Fields of papers citing papers by Dheeb Albashish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheeb Albashish

This figure shows the co-authorship network connecting the top 25 collaborators of Dheeb Albashish. A scholar is included among the top collaborators of Dheeb Albashish 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 Dheeb Albashish. Dheeb Albashish 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
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Abdullah, Azizi, Wai‐Man Wong, & Dheeb Albashish. (2025). EB-CNN: Ensemble of branch convolutional neural network for image classification. Pattern Recognition Letters. 189. 1–7. 1 indexed citations
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Braik, Malik, Sofian Kassaymeh, Muder Almiani, et al.. (2025). Advancements in global optimization with an empowered capuchin search algorithm. Neural Computing and Applications. 37(24). 19707–19749. 1 indexed citations
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Braik, Malik, et al.. (2024). Correction: Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection. International Journal of Machine Learning and Cybernetics. 16(1). 395–395. 1 indexed citations
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Braik, Malik, et al.. (2024). Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection. International Journal of Machine Learning and Cybernetics. 16(1). 361–394. 6 indexed citations
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Braik, Malik, et al.. (2023). Optimization of K-means clustering method using hybrid capuchin search algorithm. The Journal of Supercomputing. 80(2). 1728–1787. 11 indexed citations
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Khurma, Ruba Abu, et al.. (2023). An augmented Snake Optimizer for diseases and COVID-19 diagnosis. Biomedical Signal Processing and Control. 84. 104718–104718. 37 indexed citations
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Albashish, Dheeb, et al.. (2023). Enhanced meta‐heuristic methods for industrial winding process modelling. Expert Systems. 41(2). 5 indexed citations
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Kassaymeh, Sofian, et al.. (2023). An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models. Computers & Electrical Engineering. 111. 108923–108923. 16 indexed citations
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Hashim, Fatma A., Ruba Abu Khurma, Dheeb Albashish, Mohammed A. Amin, & Abdelazim G. Hussien. (2023). Novel hybrid of AOA-BSA with double adaptive and random spare for global optimization and engineering problems. Alexandria Engineering Journal. 73. 543–577. 18 indexed citations
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Albashish, Dheeb, et al.. (2023). Memory-Based Sand Cat Swarm Optimization for Feature Selection in Medical Diagnosis. Electronics. 12(9). 2042–2042. 26 indexed citations
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Aldabbas, Hamza, Dheeb Albashish, Khalaf Khatatneh, & Rashid Amin. (2022). An Architecture of IoT-Aware Healthcare Smart System by Leveraging Machine Learning. The International Arab Journal of Information Technology. 19(2). 17 indexed citations
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Ayob, Masri, et al.. (2020). Solving text clustering problem using a memetic differential evolution algorithm. PLoS ONE. 15(6). e0232816–e0232816. 19 indexed citations
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Albashish, Dheeb, Abdelaziz I. Hammouri, Malik Braik, Jaffar Atwan, & Shahnorbanun Sahran. (2020). Binary biogeography-based optimization based SVM-RFE for feature selection. Applied Soft Computing. 101. 107026–107026. 114 indexed citations
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Alweshah, Mohammed, et al.. (2020). A hybrid mine blast algorithm for feature selection problems. Soft Computing. 25(1). 517–534. 52 indexed citations
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Alomoush, Waleed, et al.. (2018). Firefly photinus search algorithm. Journal of King Saud University - Computer and Information Sciences. 32(5). 599–607. 18 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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