Bahaa El-din Helmy

708 total citations
9 papers, 551 citations indexed

About

Bahaa El-din Helmy is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Bahaa El-din Helmy has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Bahaa El-din Helmy's work include Metaheuristic Optimization Algorithms Research (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Bahaa El-din Helmy is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Bahaa El-din Helmy collaborates with scholars based in Egypt, Saudi Arabia and Mexico. Bahaa El-din Helmy's co-authors include Essam H. Houssein, Ahmed A. Elngar, Hassan Shaban, Hegazy Rezk, Ahmed M. Nassef, Diego Oliva, Diaa Salama AbdElminaam, M. Premkumar, Pradeep Jangir and Mamdouh L. Alghaythi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energy.

In The Last Decade

Bahaa El-din Helmy

8 papers receiving 530 citations

Peers

Bahaa El-din Helmy

CVPR

EEE

RESE

CTM

Jaffar Atwan Jordan

Manoj Kumar Naik India

El‐Bay Bourennane France

Omar Ávalos Mexico

Caiyang Yu China

Zheng-Ming Gao China

Mohamed A. Mahdy Egypt

Ying Ling China

Lei Xie China

Hathiram Nenavath India

Jaffar Atwan Jordan

Bahaa El-din Helmy

405 ×1.4

104 ×0.8

CVPR

106 ×0.8

EEE

26 ×0.3

RESE

139 ×1.9

CTM

Citations per year, relative to Bahaa El-din Helmy Bahaa El-din Helmy (= 1×) peers Jaffar Atwan

Countries citing papers authored by Bahaa El-din Helmy

Since Specialization

Citations

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

Fields of papers citing papers by Bahaa El-din Helmy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bahaa El-din Helmy. 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 Bahaa El-din Helmy. The network helps show where Bahaa El-din Helmy may publish in the future.

Co-authorship network of co-authors of Bahaa El-din Helmy

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

All Works

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9 of 9 papers shown

Nassef, Ahmed M., Essam H. Houssein, Bahaa El-din Helmy, & Hegazy Rezk. (2022). Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization. Energy. 254. 124363–124363. 71 indexed citations

Houssein, Essam H., Bahaa El-din Helmy, Hegazy Rezk, & Ahmed M. Nassef. (2022). An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking. Neural Computing and Applications. 34(5). 3671–3695. 30 indexed citations

Nassef, Ahmed M., Essam H. Houssein, Bahaa El-din Helmy, et al.. (2022). Optimal reconfiguration strategy based on modified Runge Kutta optimizer to mitigate partial shading condition in photovoltaic systems. Energy Reports. 8. 7242–7262. 29 indexed citations

Helmy, Bahaa El-din, et al.. (2022). An Enhanced Convolution Neural Network Model Tackling Heart Diseases Classification Problem Using Ecg Signals Dataset. SSRN Electronic Journal.

Houssein, Essam H., Bahaa El-din Helmy, Ahmed A. Elngar, Diaa Salama AbdElminaam, & Hassan Shaban. (2021). An Improved Tunicate Swarm Algorithm for Global Optimization and Image Segmentation. IEEE Access. 9. 56066–56092. 81 indexed citations

Houssein, Essam H., Bahaa El-din Helmy, Diego Oliva, Ahmed A. Elngar, & Hassan Shaban. (2021). Multi-level Thresholding Image Segmentation Based on Nature-Inspired Optimization Algorithms: A Comprehensive Review. Studies in computational intelligence. 239–265. 22 indexed citations

Houssein, Essam H., Bahaa El-din Helmy, Hegazy Rezk, & Ahmed M. Nassef. (2021). An enhanced Archimedes optimization algorithm based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification. Engineering Applications of Artificial Intelligence. 103. 104309–104309. 86 indexed citations

Houssein, Essam H., Bahaa El-din Helmy, Diego Oliva, et al.. (2021). An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer. Biomedical Signal Processing and Control. 73. 103401–103401. 59 indexed citations

Houssein, Essam H., Bahaa El-din Helmy, Diego Oliva, Ahmed A. Elngar, & Hassan Shaban. (2020). A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation. Expert Systems with Applications. 167. 114159–114159. 173 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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