Ibrahim Gad

1.9k total citations
49 papers, 1.1k citations indexed

About

Ibrahim Gad is a scholar working on Artificial Intelligence, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, Ibrahim Gad has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Environmental Engineering. Recurrent topics in Ibrahim Gad's work include Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers) and Energy Load and Power Forecasting (5 papers). Ibrahim Gad is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers) and Energy Load and Power Forecasting (5 papers). Ibrahim Gad collaborates with scholars based in Egypt, Saudi Arabia and India. Ibrahim Gad's co-authors include Doreswamy, El‐Sayed Atlam, Guesh Dagnew, Zohair Malki, Aboul Ella Hassanien, Ashraf A. Ewis, El-Sayed Atlam, Mostafa A. Elhosseini, Osama A. Ghoneim and Amer Malki and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Renewable Energy.

In The Last Decade

Ibrahim Gad

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim Gad Egypt 16 345 266 169 159 129 49 1.1k
Mohsen Ahmadi Iran 23 360 1.0× 93 0.3× 313 1.9× 71 0.4× 312 2.4× 67 1.8k
Choujun Zhan China 17 236 0.7× 66 0.2× 154 0.9× 31 0.2× 61 0.5× 86 1.2k
Abbas Sharifi Iran 18 251 0.7× 43 0.2× 314 1.9× 69 0.4× 276 2.1× 33 1.2k
Erick Giovani Sperandio Nascimento Brazil 16 193 0.6× 173 0.7× 31 0.2× 149 0.9× 31 0.2× 82 917
Petrônio Cândido de Lima e Silva Brazil 12 267 0.8× 102 0.4× 203 1.2× 25 0.2× 24 0.2× 33 951
Muhammad Muneeb Pakistan 11 381 1.1× 87 0.3× 150 0.9× 12 0.1× 143 1.1× 30 1.2k
Farah Shahid Pakistan 8 470 1.4× 111 0.4× 149 0.9× 13 0.1× 136 1.1× 12 1.2k
Jinmeng Rao United States 16 91 0.3× 33 0.1× 317 1.9× 78 0.5× 37 0.3× 33 1.0k
Ramon Gomes da Silva Brazil 11 348 1.0× 116 0.4× 258 1.5× 15 0.1× 195 1.5× 19 1.2k
Md. Mehedi Hassan Bangladesh 15 235 0.7× 80 0.3× 32 0.2× 15 0.1× 85 0.7× 93 932

Countries citing papers authored by Ibrahim Gad

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Gad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Gad

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Gad. A scholar is included among the top collaborators of Ibrahim Gad 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 Ibrahim Gad. Ibrahim Gad 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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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
4.
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
5.
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
6.
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
7.
Alwateer, Majed, El‐Sayed Atlam, M. M. Abd El‐Raouf, Osama A. Ghoneim, & Ibrahim Gad. (2024). Missing Data Imputation: A Comprehensive Review. Journal of Computer and Communications. 12(11). 53–75. 14 indexed citations
8.
Younes, Ahmed, et al.. (2024). Explainable AI model for PDFMal detection based on gradient boosting model. Neural Computing and Applications. 36(34). 21607–21622. 5 indexed citations
9.
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
10.
Gad, Ibrahim, et al.. (2023). Unraveling Therapeutic Opportunities and the Diagnostic Potential of microRNAs for Human Lung Cancer. Pharmaceutics. 15(8). 2061–2061. 14 indexed citations
11.
Gad, Ibrahim, et al.. (2023). Securing Financial Transactions with a Robust Algorithm: Preventing Double-Spending Attacks. Computers. 12(9). 171–171. 2 indexed citations
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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.
Stephan, Thompson, et al.. (2023). Characterization of darknet traffic detection using time domain features. IET conference proceedings.. 2023(22). 233–237. 1 indexed citations
15.
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
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.
Malki, Zohair, El‐Sayed Atlam, Ashraf A. Ewis, et al.. (2020). ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound. Neural Computing and Applications. 33(7). 2929–2948. 88 indexed citations
19.
Abdallah, Ahmed M., et al.. (2020). Downhole Scales Associated with October Field Formation Waters and Water Injection Using a Shallow Aquifer. SPE International Conference and Exhibition on Formation Damage Control. 4 indexed citations
20.
Malki, Zohair, et al.. (2020). Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches. Chaos Solitons & Fractals. 138. 110137–110137. 160 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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