Alhassan Mabrouk

577 total citations
12 papers, 378 citations indexed

About

Alhassan Mabrouk is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alhassan Mabrouk has authored 12 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alhassan Mabrouk's work include AI in cancer detection (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (3 papers). Alhassan Mabrouk is often cited by papers focused on AI in cancer detection (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Advanced Text Analysis Techniques (3 papers). Alhassan Mabrouk collaborates with scholars based in Egypt, United Arab Emirates and Algeria. Alhassan Mabrouk's co-authors include Mohamed Abd Elaziz, Abdelghani Dahou, Mohammed Kayed, Rebeca P. Dı́az Redondo, Ahmad O. Aseeri, Shaker El–Sappagh, Rehab Ali Ibrahim, Samia Allaoua Chelloug, Ibrahim El-Henawy and Abdelmgeid A. Ali and has published in prestigious journals such as IEEE Access, Sensors and Technological Forecasting and Social Change.

In The Last Decade

Alhassan Mabrouk

12 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alhassan Mabrouk Egypt 12 203 119 58 54 36 12 378
Shivam Kalra Canada 8 341 1.7× 137 1.2× 37 0.6× 96 1.8× 19 0.5× 17 453
Ahmed Abdullah Alqarni Saudi Arabia 8 138 0.7× 65 0.5× 45 0.8× 26 0.5× 25 0.7× 19 350
Meike Nauta Netherlands 8 396 2.0× 106 0.9× 24 0.4× 66 1.2× 12 0.3× 13 620
Mohd Usama China 10 249 1.2× 61 0.5× 92 1.6× 97 1.8× 10 0.3× 16 492
Md. Rezwanul Haque Bangladesh 10 376 1.9× 235 2.0× 25 0.4× 86 1.6× 20 0.6× 14 665
Wojciech Książek Poland 8 208 1.0× 120 1.0× 12 0.2× 40 0.7× 26 0.7× 11 483
Saeed Iqbal Pakistan 12 167 0.8× 130 1.1× 23 0.4× 94 1.7× 20 0.6× 42 425
Talha Meraj Pakistan 13 219 1.1× 240 2.0× 19 0.3× 122 2.3× 60 1.7× 24 576
Adnan N. Qureshi Pakistan 10 154 0.8× 124 1.0× 18 0.3× 83 1.5× 30 0.8× 42 335

Countries citing papers authored by Alhassan Mabrouk

Since Specialization
Citations

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

Fields of papers citing papers by Alhassan Mabrouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alhassan Mabrouk

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

All Works

12 of 12 papers shown
1.
Elaziz, Mohamed Abd, Abdelghani Dahou, Alhassan Mabrouk, Shaker El–Sappagh, & Ahmad O. Aseeri. (2023). An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction. Computers in Biology and Medicine. 163. 107154–107154. 39 indexed citations
2.
Mabrouk, Alhassan, Rebeca P. Dı́az Redondo, Mohamed Abd Elaziz, & Mohammed Kayed. (2023). Ensemble Federated Learning: An approach for collaborative pneumonia diagnosis. Applied Soft Computing. 144. 110500–110500. 16 indexed citations
3.
Dahou, Abdelghani, Ahmad O. Aseeri, Alhassan Mabrouk, et al.. (2023). Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search. Diagnostics. 13(9). 1579–1579. 27 indexed citations
4.
Elaziz, Mohamed Abd, Abdelghani Dahou, Alhassan Mabrouk, Rehab Ali Ibrahim, & Ahmad O. Aseeri. (2023). Medical Image Classifications for 6G IoT-Enabled Smart Health Systems. Diagnostics. 13(5). 834–834. 16 indexed citations
5.
Dahou, Abdelghani, et al.. (2023). A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management. Technological Forecasting and Social Change. 192. 122546–122546. 18 indexed citations
6.
Dahou, Abdelghani, Alhassan Mabrouk, Mohamed Abd Elaziz, et al.. (2022). Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm. Mathematics. 10(3). 447–447. 41 indexed citations
7.
Mabrouk, Alhassan, Abdelghani Dahou, Mohamed Abd Elaziz, Rebeca P. Dı́az Redondo, & Mohammed Kayed. (2022). Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things. Computational Intelligence and Neuroscience. 2022. 1–22. 23 indexed citations
8.
Elaziz, Mohamed Abd, Abdelghani Dahou, Shaker El–Sappagh, Alhassan Mabrouk, & Mohamed Medhat Gaber. (2022). AHA-AO: Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification. Applied Sciences. 12(19). 9710–9710. 16 indexed citations
9.
Elaziz, Mohamed Abd, Alhassan Mabrouk, Abdelghani Dahou, & Samia Allaoua Chelloug. (2022). Medical Image Classification Utilizing Ensemble Learning and Levy Flight-Based Honey Badger Algorithm on 6G-Enabled Internet of Things. Computational Intelligence and Neuroscience. 2022. 1–17. 33 indexed citations
10.
Mabrouk, Alhassan, Rebeca P. Dı́az Redondo, Abdelghani Dahou, Mohamed Abd Elaziz, & Mohammed Kayed. (2022). Pneumonia Detection on Chest X-ray Images Using Ensemble of Deep Convolutional Neural Networks. Applied Sciences. 12(13). 6448–6448. 96 indexed citations
11.
Mabrouk, Alhassan, Rebeca P. Dı́az Redondo, & Mohammed Kayed. (2021). SEOpinion: Summarization and Exploration of Opinion from E-Commerce Websites. Sensors. 21(2). 636–636. 15 indexed citations
12.
Mabrouk, Alhassan, Rebeca P. Dı́az Redondo, & Mohammed Kayed. (2020). Deep Learning-Based Sentiment Classification: A Comparative Survey. IEEE Access. 8. 85616–85638. 38 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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