Jamal Riffi

1.4k total citations
76 papers, 735 citations indexed

About

Jamal Riffi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jamal Riffi has authored 76 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Jamal Riffi's work include Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (10 papers) and Face and Expression Recognition (8 papers). Jamal Riffi is often cited by papers focused on Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (10 papers) and Face and Expression Recognition (8 papers). Jamal Riffi collaborates with scholars based in Morocco, France and India. Jamal Riffi's co-authors include Hamid Tairi, Mohamed Adnane Mahraz, Ali Yahyaouy, My Abdelouahed Sabri, Badraddine Aghoutane, Omar El Beqqali, Mostafa El Mallahi, Mohammed El Hassouni, Abderrahim Saaidi and Ayman Alfalou and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jamal Riffi

68 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamal Riffi Morocco 16 325 216 134 133 108 76 735
Muhammad Shahid Anwar South Korea 17 306 0.9× 187 0.9× 66 0.5× 78 0.6× 55 0.5× 103 886
Ahmed Sedik Egypt 16 404 1.2× 292 1.4× 56 0.4× 107 0.8× 275 2.5× 56 1.1k
Mohamed Adnane Mahraz Morocco 15 287 0.9× 156 0.7× 137 1.0× 48 0.4× 111 1.0× 62 581
Varun Gupta India 16 166 0.5× 250 1.2× 33 0.2× 203 1.5× 143 1.3× 60 843
Lubna A. Gabralla Saudi Arabia 17 172 0.5× 207 1.0× 26 0.2× 106 0.8× 71 0.7× 41 758
Meshal Alharbi Saudi Arabia 17 158 0.5× 186 0.9× 101 0.8× 67 0.5× 86 0.8× 70 711
Arash Sharifi Iran 18 136 0.4× 345 1.6× 42 0.3× 96 0.7× 87 0.8× 80 902
Mounir Ben Ayed Tunisia 16 233 0.7× 287 1.3× 40 0.3× 136 1.0× 33 0.3× 82 802
Ahmed A. Elngar Egypt 14 215 0.7× 326 1.5× 72 0.5× 111 0.8× 62 0.6× 84 855
Ramgopal Kashyap India 19 128 0.4× 230 1.1× 52 0.4× 136 1.0× 108 1.0× 52 987

Countries citing papers authored by Jamal Riffi

Since Specialization
Citations

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

Fields of papers citing papers by Jamal Riffi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamal Riffi

This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Riffi. A scholar is included among the top collaborators of Jamal Riffi 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 Jamal Riffi. Jamal Riffi 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.
Tairi, Hamid, et al.. (2025). 3D tooth identification for forensic dentistry using deep learning. BMC Oral Health. 25(1). 665–665. 1 indexed citations
2.
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.
3.
4.
Riffi, Jamal, et al.. (2025). Deep neural network for detection of fraudulent transaction. Multimedia Tools and Applications. 84(34). 41991–42008.
5.
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
6.
Riffi, Jamal, et al.. (2024). Contextual Recommendations: Dynamic Graph Attention Networks With Edge Adaptation. IEEE Access. 12. 151019–151029. 9 indexed citations
7.
Riffi, Jamal, et al.. (2024). Comparative Study of Filtering Methods for Scientific Research Article Recommendations. Big Data and Cognitive Computing. 8(12). 190–190. 8 indexed citations
8.
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
9.
Mahraz, Mohamed Adnane, et al.. (2024). Deep Learning-Based Estimation of Olive Flower Density from UAV Imagery. 1–6.
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.
Riffi, Jamal, et al.. (2024). Towards Maximum Efficiency: Combining ELM with BA for Credit Card Fraud Detection. 1–8. 1 indexed citations
12.
13.
Riffi, Jamal, et al.. (2024). A comprehensive review of static and dynamic facility layout problems. Annual Reviews in Control. 58. 100970–100970.
14.
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
15.
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
16.
Riffi, Jamal, et al.. (2023). Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering. Big Data and Cognitive Computing. 7(2). 87–87. 1 indexed citations
17.
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
18.
Riffi, Jamal, et al.. (2023). Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network. Journal of Digital Imaging. 36(4). 1739–1751. 18 indexed citations
19.
Mahraz, Mohamed Adnane, et al.. (2023). Hand Gesture Recognition Based on Various Deep Learning YOLO Models. International Journal of Advanced Computer Science and Applications. 14(4). 3 indexed citations
20.
Mallahi, Mostafa El, et al.. (2022). Prediction of Traffic Accidents using Random Forest Model. 1–7. 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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