Fatma Helmy Ismail

506 total citations
19 papers, 348 citations indexed

About

Fatma Helmy Ismail is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Fatma Helmy Ismail has authored 19 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Fatma Helmy Ismail's work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Fatma Helmy Ismail is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Fatma Helmy Ismail collaborates with scholars based in Egypt, Saudi Arabia and Algeria. Fatma Helmy Ismail's co-authors include Essam H. Houssein, Aboul Ella Hassanien, Ahmed A. Ewees, Diaa Salama AbdElminaam, Ahmed T. Sahlol, Ahmed Taha, Mohamed Taha, Ayman Nabil, Alaa A. K. Ismaeel and Nabil Neggaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Fatma Helmy Ismail

17 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatma Helmy Ismail Egypt 10 196 62 57 49 44 19 348
Nagat Drawel Canada 7 137 0.7× 47 0.8× 34 0.6× 37 0.8× 31 0.7× 12 284
G. Manikandan India 12 164 0.8× 26 0.4× 85 1.5× 80 1.6× 35 0.8× 90 452
Nojood O. Aljehane Saudi Arabia 11 106 0.5× 27 0.4× 80 1.4× 27 0.6× 38 0.9× 29 318
Saima Anwar Lashari Malaysia 10 135 0.7× 12 0.2× 76 1.3× 66 1.3× 70 1.6× 42 407
C. Chandrasekar India 11 155 0.8× 31 0.5× 112 2.0× 58 1.2× 103 2.3× 90 472
Behrooz Masoumi Iran 11 159 0.8× 17 0.3× 85 1.5× 51 1.0× 34 0.8× 44 372
Ali Akbar Movassagh Iran 5 111 0.6× 9 0.1× 59 1.0× 42 0.9× 39 0.9× 8 277
Cailing Dong United States 5 248 1.3× 12 0.2× 37 0.6× 59 1.2× 58 1.3× 9 401
Sahar F. Sabbeh Egypt 9 125 0.6× 39 0.6× 41 0.7× 70 1.4× 31 0.7× 27 274
Raja Sarath Kumar Boddu India 6 104 0.5× 27 0.4× 20 0.4× 63 1.3× 97 2.2× 16 387

Countries citing papers authored by Fatma Helmy Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Helmy Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Helmy Ismail. 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 Fatma Helmy Ismail. The network helps show where Fatma Helmy Ismail may publish in the future.

Co-authorship network of co-authors of Fatma Helmy Ismail

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

All Works

19 of 19 papers shown
1.
2.
Ewees, Ahmed A., et al.. (2025). Multi-level thresholding segmentation for brain tumor detection using optimized deep learning approach. Neural Computing and Applications. 37(23). 19279–19302.
3.
AbdElminaam, Diaa Salama, et al.. (2024). Parameters Extraction of the Three-Diode Photovoltaic Model Using Crayfish Optimization Algorithm. IEEE Access. 12. 109342–109354. 3 indexed citations
4.
Ewees, Ahmed A., et al.. (2024). Improved machine learning technique for feature reduction and its application in spam email detection. Journal of Intelligent Information Systems. 62(6). 1749–1771. 2 indexed citations
5.
Ismail, Fatma Helmy, et al.. (2023). StyleBusters: Protecting the intellectual property rights of designers using deep learning techniques. abs 1506 2640. 1–7. 1 indexed citations
6.
Ewees, Ahmed A., et al.. (2022). Enhanced Marine Predators Algorithm for Solving Global Optimization and Feature Selection Problems. Mathematics. 10(21). 4154–4154. 10 indexed citations
7.
8.
Ewees, Ahmed A., Fatma Helmy Ismail, & Ahmed T. Sahlol. (2022). Gradient-based optimizer improved by Slime Mould Algorithm for global optimization and feature selection for diverse computation problems. Expert Systems with Applications. 213. 118872–118872. 53 indexed citations
9.
Ewees, Ahmed A., Fatma Helmy Ismail, & Rania M. Ghoniem. (2022). Wild Horse Optimizer-Based Spiral Updating for Feature Selection. IEEE Access. 10. 106258–106274. 13 indexed citations
10.
AbdElminaam, Diaa Salama, Fatma Helmy Ismail, Mohamed Taha, et al.. (2021). CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter. IEEE Access. 9. 27840–27867. 101 indexed citations
11.
Ismail, Fatma Helmy, et al.. (2021). Monuments Recognition using Deep Learning VS Machine Learning. 258–263. 8 indexed citations
12.
AbdElminaam, Diaa Salama, et al.. (2021). ArabicDialects: An Efficient Framework for Arabic Dialects Opinion Mining on Twitter Using Optimized Deep Neural Networks. IEEE Access. 9. 97079–97099. 26 indexed citations
13.
Abdelmonem, Mohamed Gamal, et al.. (2021). Face Liveness Detection Using a sequential CNN technique. 1483–1488. 7 indexed citations
14.
AbdElminaam, Diaa Salama, et al.. (2021). AOM-MPA: Arabic Opinion Mining using Marine Predators Algorithm based Feature Selection. 395–402. 11 indexed citations
15.
Ismaeel, Alaa A. K., et al.. (2019). Enhanced Elephant Herding Optimization for Global Optimization. IEEE Access. 7. 34738–34752. 60 indexed citations
16.
Ismail, Fatma Helmy, et al.. (2019). A Modified Inception-v4 for Imbalanced Skin Cancer Classification Dataset. 28–33. 26 indexed citations
17.
Houssein, Essam H., et al.. (2019). An exploration-enhanced elephant herding optimization. Engineering Computations. 36(9). 3029–3046. 9 indexed citations
18.
19.
Ismail, Fatma Helmy, et al.. (2016). Optimizing the parameters of Sugeno based adaptive neuro fuzzy using artificial bee colony: A Case study on predicting the wind speed. SHILAP Revista de lepidopterología. 8. 645–651. 7 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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