Walaa N. Ismail

751 total citations
28 papers, 446 citations indexed

About

Walaa N. Ismail is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Walaa N. Ismail has authored 28 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Walaa N. Ismail's work include Data Mining Algorithms and Applications (5 papers), Time Series Analysis and Forecasting (4 papers) and Network Security and Intrusion Detection (4 papers). Walaa N. Ismail is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Time Series Analysis and Forecasting (4 papers) and Network Security and Intrusion Detection (4 papers). Walaa N. Ismail collaborates with scholars based in Saudi Arabia, Egypt and Italy. Walaa N. Ismail's co-authors include Mohammad Mehedi Hassan, Hessah A. Alsalamah, Giancarlo Fortino, Fathimathul Rajeena P. P., Mona A. S. Ali, Shamsul Huda, Jemal Abawajy, Biao Song, Md Mofijul Islam and Md. Abdur Razzaque and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Walaa N. Ismail

26 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walaa N. Ismail Saudi Arabia 13 148 140 100 83 78 28 446
Majed Aborokbah Saudi Arabia 8 180 1.2× 223 1.6× 95 0.9× 72 0.9× 99 1.3× 33 478
C. Narmatha Saudi Arabia 11 194 1.3× 132 0.9× 64 0.6× 163 2.0× 58 0.7× 35 506
Balasubramanian Prabhu Kavin India 11 171 1.2× 162 1.2× 143 1.4× 65 0.8× 50 0.6× 40 458
Abdulaziz Alhumam Saudi Arabia 13 167 1.1× 199 1.4× 68 0.7× 46 0.6× 66 0.8× 31 561
Mohammad Ahsan Chishti India 15 147 1.0× 287 2.0× 154 1.5× 82 1.0× 64 0.8× 59 565
Vani Rajasekar India 13 134 0.9× 112 0.8× 129 1.3× 156 1.9× 96 1.2× 47 508
Saima Anwar Lashari Malaysia 10 135 0.9× 108 0.8× 66 0.7× 76 0.9× 24 0.3× 42 407
Amit Kishor India 10 151 1.0× 252 1.8× 157 1.6× 79 1.0× 28 0.4× 16 600
Nasmin Jiwani United States 14 100 0.7× 89 0.6× 74 0.7× 42 0.5× 27 0.3× 37 446
Jiangang Ma Australia 11 168 1.1× 77 0.6× 76 0.8× 55 0.7× 56 0.7× 29 468

Countries citing papers authored by Walaa N. Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Walaa N. Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walaa N. Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Walaa N. Ismail. A scholar is included among the top collaborators of Walaa N. 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 Walaa N. Ismail. Walaa N. Ismail 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.
Alsalamah, Hessah A. & Walaa N. Ismail. (2025). A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection. Mathematics. 13(15). 2522–2522.
2.
Ismail, Walaa N.. (2025). A Novel Metaheuristic-Based Methodology for Attack Detection in Wireless Communication Networks. Mathematics. 13(11). 1736–1736. 1 indexed citations
3.
Ibrahim, Osman Ali Sadek, et al.. (2025). Revisiting recommender systems: an investigative survey. Neural Computing and Applications. 37(4). 2145–2173. 1 indexed citations
4.
Alsalamah, Hessah A., et al.. (2024). The Impact of the Weighted Features on the Accuracy of X-Platform’s User Credibility Detection Using Supervised Machine Learning. IEEE Access. 12. 8471–8484. 4 indexed citations
5.
Ismail, Walaa N., et al.. (2024). A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT. Social Network Analysis and Mining. 14(1). 4 indexed citations
6.
Ismail, Walaa N. & Hessah A. Alsalamah. (2024). A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images. SHILAP Revista de lepidopterología. 4(1). 5 indexed citations
7.
Ismail, Walaa N., et al.. (2023). AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design. Heliyon. 9(2). e13636–e13636. 27 indexed citations
8.
Ismail, Walaa N.. (2023). Snake-Efficient Feature Selection-Based Framework for Precise Early Detection of Chronic Kidney Disease. Diagnostics. 13(15). 2501–2501. 10 indexed citations
9.
P., Fathimathul Rajeena P., Walaa N. Ismail, & Mona A. S. Ali. (2023). A Metaheuristic Harris Hawks Optimization Algorithm for Weed Detection Using Drone Images. Applied Sciences. 13(12). 7083–7083. 14 indexed citations
10.
Ismail, Walaa N., et al.. (2023). Multiobjective Learning to Rank Based on the (1 + 1) Evolutionary Strategy: An Evaluation of Three Novel Pareto Optimal Methods. Electronics. 12(17). 3724–3724. 1 indexed citations
11.
Ismail, Walaa N. & Hessah A. Alsalamah. (2023). Efficient Harris Hawk Optimization (HHO)-Based Framework for Accurate Skin Cancer Prediction. Mathematics. 11(16). 3601–3601. 9 indexed citations
12.
Ismail, Walaa N., et al.. (2023). Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging. Neural Computing and Applications. 36(6). 3215–3237. 8 indexed citations
13.
Ismail, Walaa N., Fathimathul Rajeena P. P., & Mona A. S. Ali. (2023). A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data. Mathematics. 11(4). 957–957. 33 indexed citations
14.
Hassan, Md. Rafiul, et al.. (2022). A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19. The Journal of Supercomputing. 78(7). 10250–10274. 12 indexed citations
15.
Ismail, Walaa N., et al.. (2022). GA-Stacking: A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 3945–3976. 3 indexed citations
16.
Gumaei, Abdu, et al.. (2021). A Decision-Level Fusion Method for COVID-19 Patient Health Prediction. Big Data Research. 27. 100287–100287. 39 indexed citations
17.
Ismail, Walaa N., Mohammad Mehedi Hassan, Hessah A. Alsalamah, & Giancarlo Fortino. (2020). CNN-Based Health Model for Regular Health Factors Analysis in Internet-of-Medical Things Environment. IEEE Access. 8. 52541–52549. 63 indexed citations
18.
Huda, Shamsul, et al.. (2018). Malware Threats and Detection for Industrial Mobile-IoT Networks. IEEE Access. 6. 15941–15957. 55 indexed citations
19.
Islam, Md Mofijul, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Walaa N. Ismail, & Biao Song. (2017). Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. IEEE Access. 5. 11887–11899. 52 indexed citations
20.
Ismail, Walaa N. & Mehmet Sabih Aksoy. (2015). Technical Perspectives on Knowledge Management in Bioinformatics Workflow Systems. International Journal of Advanced Computer Science and Applications. 6(1).

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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