Mohamed Adnane Mahraz

979 total citations
62 papers, 581 citations indexed

About

Mohamed Adnane Mahraz is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Mohamed Adnane Mahraz has authored 62 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 17 papers in Neurology and 16 papers in Artificial Intelligence. Recurrent topics in Mohamed Adnane Mahraz's work include Brain Tumor Detection and Classification (17 papers), Advanced Neural Network Applications (12 papers) and Face and Expression Recognition (7 papers). Mohamed Adnane Mahraz is often cited by papers focused on Brain Tumor Detection and Classification (17 papers), Advanced Neural Network Applications (12 papers) and Face and Expression Recognition (7 papers). Mohamed Adnane Mahraz collaborates with scholars based in Morocco, France and United States. Mohamed Adnane Mahraz's co-authors include Hamid Tairi, Jamal Riffi, Ali Yahyaouy, Mostafa El Mallahi, M’hammed Sahnoun, Mhamed Sayyouri and Nikola S. Nikolov and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Applied Sciences.

In The Last Decade

Mohamed Adnane Mahraz

56 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Adnane Mahraz Morocco 15 287 156 137 111 63 62 581
Sajid Ali Khan Pakistan 17 550 1.9× 394 2.5× 91 0.7× 246 2.2× 144 2.3× 27 1.1k
Saadat Hanif Dar Pakistan 14 431 1.5× 119 0.8× 35 0.3× 95 0.9× 172 2.7× 21 786
Xiaosheng Yu China 13 376 1.3× 153 1.0× 47 0.3× 204 1.8× 43 0.7× 99 653
Samah A. Gamel Egypt 14 131 0.5× 130 0.8× 96 0.7× 91 0.8× 5 0.1× 32 553
M. Monica Subashini India 12 387 1.3× 201 1.3× 327 2.4× 140 1.3× 84 1.3× 60 865
Fardin Abdali-Mohammadi Iran 15 187 0.7× 135 0.9× 20 0.1× 66 0.6× 11 0.2× 44 573
Nouf Abdullah Almujally Saudi Arabia 14 237 0.8× 166 1.1× 61 0.4× 80 0.7× 25 0.4× 65 599
Abdul Rahaman Wahab Sait Saudi Arabia 12 143 0.5× 123 0.8× 68 0.5× 269 2.4× 15 0.2× 65 601
Kaplan Kaplan Türkiye 13 197 0.7× 143 0.9× 153 1.1× 61 0.5× 20 0.3× 38 766
Yu Zeng China 11 510 1.8× 156 1.0× 27 0.2× 97 0.9× 66 1.0× 23 740

Countries citing papers authored by Mohamed Adnane Mahraz

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Adnane Mahraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Adnane Mahraz. 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 Mohamed Adnane Mahraz. The network helps show where Mohamed Adnane Mahraz may publish in the future.

Co-authorship network of co-authors of Mohamed Adnane Mahraz

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Adnane Mahraz. A scholar is included among the top collaborators of Mohamed Adnane Mahraz 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 Mohamed Adnane Mahraz. Mohamed Adnane Mahraz 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.
Mahraz, Mohamed Adnane, et al.. (2025). Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture. Information. 16(1). 40–40. 1 indexed citations
2.
3.
Mahraz, Mohamed Adnane, et al.. (2025). OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision. Data in Brief. 60. 111515–111515. 3 indexed citations
4.
Mahraz, Mohamed Adnane, et al.. (2025). Enhanced multi-scale detection of olive tree crowns in UAV orthophotos using a deep learning architecture. Smart Agricultural Technology. 12. 101126–101126.
5.
Mahraz, Mohamed Adnane, et al.. (2024). Human Emotion Recognition Based on Spatio-Temporal Facial Features Using HOG-HOF and VGG-LSTM. Computers. 13(4). 101–101. 1 indexed citations
6.
Mahraz, Mohamed Adnane, et al.. (2024). Deep Learning-Based Estimation of Olive Flower Density from UAV Imagery. 1–6.
7.
Mahraz, Mohamed Adnane, et al.. (2024). Brain tumor classification using feature extraction and ensemble learning. 33(3/4). 3–28. 1 indexed citations
8.
Riffi, Jamal, et al.. (2024). 1D CNNs and face-based random walks: A powerful combination to enhance mesh understanding and 3D semantic segmentation. Computer Aided Geometric Design. 113. 102379–102379. 1 indexed citations
9.
Riffi, Jamal, et al.. (2024). Towards Maximum Efficiency: Combining ELM with BA for Credit Card Fraud Detection. 1–8. 1 indexed citations
10.
Riffi, Jamal, et al.. (2024). Diabetic retinopathy prediction based on vision transformer and modified capsule network. Computers in Biology and Medicine. 175. 108523–108523. 16 indexed citations
11.
Mahraz, Mohamed Adnane, et al.. (2024). EEG Data Classification by Hybrid Deep Learning for Epileptic Seizure Prediction. 1–7. 1 indexed citations
12.
13.
Riffi, Jamal, et al.. (2023). Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm. Journal of theoretical and applied electronic commerce research. 18(4). 2057–2076. 6 indexed citations
14.
Mallahi, Mostafa El, et al.. (2023). A Distributed Big Data Analytics Models for Traffic Accidents Classification and Recognition based SparkMlLib Cores. Journal of Automation Mobile Robotics & Intelligent Systems. 62–71. 4 indexed citations
15.
Riffi, Jamal, et al.. (2023). Efficient U-Net Architecture with Multiple Encoders and Attention Mechanism Decoders for Brain Tumor Segmentation. Diagnostics. 13(5). 872–872. 31 indexed citations
16.
Mallahi, Mostafa El, et al.. (2022). Prediction of Traffic Accidents using Random Forest Model. 1–7. 7 indexed citations
17.
Riffi, Jamal, et al.. (2022). Multimodal Emotional Classification Based on Meaningful Learning. Big Data and Cognitive Computing. 6(3). 95–95. 8 indexed citations
18.
Riffi, Jamal, et al.. (2020). Facial expression recognition based on geometric features. 1–6. 7 indexed citations
19.
Mahraz, Mohamed Adnane, et al.. (2018). Hand gesture recognition based on convexity approach and background subtraction. 1–5. 11 indexed citations
20.
Riffi, Jamal, et al.. (2017). An image registration algorithm based on phase correlation and the classical Lucas–Kanade technique. Signal Image and Video Processing. 11(7). 1321–1328. 18 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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