El-Sayed Atlam

595 total citations
24 papers, 288 citations indexed

About

El-Sayed Atlam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, El-Sayed Atlam has authored 24 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in El-Sayed Atlam's work include Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). El-Sayed Atlam is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers) and Anomaly Detection Techniques and Applications (4 papers). El-Sayed Atlam collaborates with scholars based in Saudi Arabia, Egypt and Japan. El-Sayed Atlam's co-authors include Ibrahim Gad, Abdulqader M. Almars, Ashraf A. Ewis, Nadiah A. Baghdadi, Amer Malki, Sally Mohammed Farghaly Abdelaliem, Jun‐ichi Aoe, Mohamed M. Abdel‐Daim, Zohair Malki and Guesh Dagnew and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Environmental Science and Pollution Research.

In The Last Decade

El-Sayed Atlam

21 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
El-Sayed Atlam Saudi Arabia 9 153 41 38 32 30 24 288
Mohamed Elaraby Egypt 9 180 1.2× 12 0.3× 34 0.9× 40 1.3× 19 0.6× 17 306
Pratiyush Guleria India 8 143 0.9× 67 1.6× 41 1.1× 22 0.7× 31 1.0× 17 281
Samina Amin Pakistan 10 163 1.1× 53 1.3× 59 1.6× 47 1.5× 19 0.6× 17 296
Sakinat Oluwabukonla Folorunso Nigeria 10 154 1.0× 15 0.4× 56 1.5× 24 0.8× 137 4.6× 36 309
Suha Mohammed Hadi Iraq 6 118 0.8× 42 1.0× 28 0.7× 131 4.1× 30 1.0× 19 313
M. Shamim Kaiser Bangladesh 8 90 0.6× 13 0.3× 29 0.8× 28 0.9× 71 2.4× 19 189
Surabhi Adhikari India 10 142 0.9× 16 0.4× 49 1.3× 37 1.2× 6 0.2× 13 299
Abdellah Madani Morocco 11 280 1.8× 15 0.4× 118 3.1× 17 0.5× 17 0.6× 26 453
Chaoqi Yang United States 10 153 1.0× 21 0.5× 23 0.6× 9 0.3× 15 0.5× 24 242
Syed Atif Ali Shah Pakistan 9 100 0.7× 9 0.2× 24 0.6× 41 1.3× 31 1.0× 16 270

Countries citing papers authored by El-Sayed Atlam

Since Specialization
Citations

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

Fields of papers citing papers by El-Sayed Atlam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of El-Sayed Atlam

This figure shows the co-authorship network connecting the top 25 collaborators of El-Sayed Atlam. A scholar is included among the top collaborators of El-Sayed Atlam 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 El-Sayed Atlam. El-Sayed Atlam 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.
Balaha, Hossam Magdy, et al.. (2025). AOA-guided hyperparameter refinement for precise medical image segmentation. Alexandria Engineering Journal. 120. 547–560. 5 indexed citations
2.
3.
Almars, Abdulqader M., et al.. (2025). Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey. Sensors. 25(11). 3341–3341. 2 indexed citations
4.
Anbar, Mohammed, et al.. (2025). BoT-EnsIDS: Approach for detecting IoT Botnet attacks leveraging bio-inspired based ensemble feature selection and hybrid deep learning model. Alexandria Engineering Journal. 129. 744–767. 1 indexed citations
5.
Almars, Abdulqader M., et al.. (2025). Combining the Strengths of LLMs and Persuasive Technology to Combat Cyberhate. Computers. 14(5). 173–173.
6.
Atlam, El-Sayed, Mehedi Masud, Hossam Meshref, et al.. (2025). Explainable artificial intelligence systems for predicting mental health problems in autistics. Alexandria Engineering Journal. 117. 376–390. 3 indexed citations
7.
Masud, Mehedi, et al.. (2024). A Novel Light-Weight Convolutional Neural Network Model to Predict Alzheimer’s Disease Applying Weighted Loss Function. SHILAP Revista de lepidopterología. 3(4). 8 indexed citations
8.
Atlam, El-Sayed, et al.. (2024). EASDM: Explainable Autism Spectrum Disorder Model Based on Deep Learning. SHILAP Revista de lepidopterología. 3(1). 13 indexed citations
9.
Alwateer, Majed, et al.. (2024). XAI-SALPAD: Explainable deep learning techniques for Saudi Arabia license plate automatic detection. Alexandria Engineering Journal. 109. 578–590. 3 indexed citations
10.
Atlam, El-Sayed, et al.. (2024). TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM. Diagnostics. 14(23). 2638–2638. 7 indexed citations
11.
Huchaiah, Manjaiah D., et al.. (2024). Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI). Alexandria Engineering Journal. 94. 120–130. 30 indexed citations
12.
Almars, Abdulqader M., et al.. (2023). ABMM: Arabic BERT-Mini Model for Hate-Speech Detection on Social Media. Electronics. 12(4). 1048–1048. 27 indexed citations
13.
Baghdadi, Nadiah A., Sally Mohammed Farghaly Abdelaliem, Amer Malki, et al.. (2023). Advanced machine learning techniques for cardiovascular disease early detection and diagnosis. Journal Of Big Data. 10(1). 58 indexed citations
14.
Noor, Talal H., et al.. (2022). SARIMA: A Seasonal Autoregressive Integrated Moving Average Model for Crime Analysis in Saudi Arabia. Electronics. 11(23). 3986–3986. 14 indexed citations
15.
Elmezain, Mahmoud, et al.. (2022). Forward Hand Gesture Spotting and Prediction Using HMM-DNN Model. Informatics. 10(1). 1–1. 2 indexed citations
16.
Noor, Talal H., Abdulqader M. Almars, Ibrahim Gad, El-Sayed Atlam, & Mahmoud Elmezain. (2022). Spatial Impressions Monitoring during COVID-19 Pandemic Using Machine Learning Techniques. Computers. 11(4). 52–52. 15 indexed citations
17.
Malki, Zohair, El-Sayed Atlam, Ashraf A. Ewis, et al.. (2021). The COVID-19 pandemic: prediction study based on machine learning models. Environmental Science and Pollution Research. 28(30). 40496–40506. 50 indexed citations
18.
Herajy, Mostafa, et al.. (2020). A Graphical Approach for Hybrid Simulation of 3D Diffusion Bio-Models via Coloured Hybrid Petri Nets. Modelling and Simulation in Engineering. 2020. 1–14. 6 indexed citations
19.
Atlam, El-Sayed, et al.. (2009). New methods for compression of MP double array by compact management of suffixes. Information Processing & Management. 46(5). 502–513. 3 indexed citations
20.
Fuketa, Masao, et al.. (2005). A METHOD OF EXTRACTING AND EVALUATING GOOD AND BAD REPUTATIONS FOR NATURAL LANGUAGE EXPRESSIONS. International Journal of Information Technology & Decision Making. 4(2). 177–196. 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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