Aicha Majda

574 total citations
26 papers, 380 citations indexed

About

Aicha Majda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Aicha Majda has authored 26 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Aicha Majda's work include Face recognition and analysis (7 papers), Face and Expression Recognition (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Aicha Majda is often cited by papers focused on Face recognition and analysis (7 papers), Face and Expression Recognition (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Aicha Majda collaborates with scholars based in Morocco, Ireland and France. Aicha Majda's co-authors include Arsalane Zarghili, Najia Es-Sbai, Rachid Aalouane, Nikola S. Nikolov, Djamal Merad and Khalid Zenkouar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of King Saud University - Computer and Information Sciences and Machine Vision and Applications.

In The Last Decade

Aicha Majda

23 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aicha Majda Morocco	7	177	121	96	95	34	26	380
Abdullah Bade Malaysia	10	168 0.9×	134 1.1×	82 0.9×	61 0.6×	23 0.7×	68	412
Hossam E. Abd El Munim Egypt	10	161 0.9×	213 1.8×	59 0.6×	132 1.4×	36 1.1×	54	430
Asem Ali United States	12	128 0.7×	183 1.5×	51 0.5×	73 0.8×	70 2.1×	66	471
Neeraj Sharma India	13	208 1.2×	72 0.6×	126 1.3×	161 1.7×	91 2.7×	32	542
Adeel Abbasi Pakistan	8	166 0.9×	105 0.9×	211 2.2×	71 0.7×	64 1.9×	16	395
Tingting Zhao China	9	133 0.8×	78 0.6×	70 0.7×	49 0.5×	93 2.7×	34	383
Paweł Badura Poland	12	107 0.6×	94 0.8×	104 1.1×	42 0.4×	89 2.6×	34	349
Ilaria Gori Italy	14	155 0.9×	160 1.3×	170 1.8×	144 1.5×	66 1.9×	30	540
Arnaldo Mayer Israel	13	222 1.3×	256 2.1×	107 1.1×	61 0.6×	100 2.9×	45	584
Ruban Nersisson India	9	77 0.4×	70 0.6×	104 1.1×	47 0.5×	34 1.0×	38	306

Countries citing papers authored by Aicha Majda

Since Specialization

Citations

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

Fields of papers citing papers by Aicha Majda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aicha Majda

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

All Works

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20 of 20 papers shown

Majda, Aicha, et al.. (2024). FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems. Intelligent Systems with Applications. 21. 200324–200324. 2 indexed citations

Majda, Aicha, et al.. (2021). Multilingual Sentiment Analysis: A Deep Learning Approach. 27–32. 5 indexed citations

Majda, Aicha, et al.. (2021). Mixed-pooling-dropout for convolutional neural network regularization. Journal of King Saud University - Computer and Information Sciences. 34(8). 4756–4762. 30 indexed citations

Majda, Aicha, et al.. (2021). Efficient Lung Nodule Classification Method using Convolutional Neural Network and Discrete Cosine Transform. International Journal of Advanced Computer Science and Applications. 12(2). 3 indexed citations

Majda, Aicha, et al.. (2020). Efficient use of recent progresses for Real-time Semantic segmentation. Machine Vision and Applications. 31(6). 3 indexed citations

Zarghili, Arsalane, et al.. (2020). 3D facial attractiveness enhancement using free form deformation. Journal of King Saud University - Computer and Information Sciences. 34(6). 3497–3505. 3 indexed citations

Majda, Aicha, et al.. (2019). A Learning Disabilities Model and Solutions Collection for an Adaptive Dialogue System for teaching. SHILAP Revista de lepidopterología. 3(6). 15–25.

Zarghili, Arsalane, et al.. (2019). Facial beauty analysis by age and gender. International Journal of Intelligent Systems Technologies and Applications. 18(1/2). 179–179. 5 indexed citations

Majda, Aicha, et al.. (2019). Automatic detection of stereotyped movements in autistic children using the Kinect sensor. International Journal of Biomedical Engineering and Technology. 29(3). 201–201. 10 indexed citations

10.

Nikolov, Nikola S., et al.. (2019). Feature-Extraction Methods for Lung-Nodule Detection: A Comparative Deep Learning Study. 18. 1–6. 2 indexed citations

11.

Majda, Aicha, et al.. (2019). Efficient Lung CT Image Segmentation using Mathematical Morphology and the Region Growing algorithm. 1–6. 5 indexed citations

12.

Majda, Aicha, et al.. (2018). Adaptive Dialogue System for Disabled Learners: Towards a Learning Disabilities Model. 422–427.

13.

Majda, Aicha, et al.. (2018). Lung CT Image Segmentation Using Deep Neural Networks. Procedia Computer Science. 127. 109–113. 229 indexed citations

14.

Es-Sbai, Najia, et al.. (2017). Comparison between Euclidean and Manhattan distance measure for facial expressions classification. 1–4. 40 indexed citations

15.

Zarghili, Arsalane, et al.. (2017). Comparative Study of Harris and Active Contour using Viola-Jones Algorithm for Facial Landmarks Detection. Transactions on Machine Learning and Artificial Intelligence. 5(4). 2 indexed citations

16.

Majda, Aicha, et al.. (2016). Stereotypical Motor Movement Recognition Using Microsoft Kinect With Artificial Neural Network. Zenodo (CERN European Organization for Nuclear Research). 10(7). 1270–1274. 4 indexed citations

17.

Majda, Aicha, et al.. (2015). New method for moving objects detection by radiometric similarity with a dynamic threshold. 181. 229–232. 1 indexed citations

18.

Majda, Aicha, et al.. (2012). Learning a Backpropagation Neural Network With Error Function Based on Bhattacharyya Distance for Face Recognition. International Journal of Image Graphics and Signal Processing. 4(8). 8–14. 1 indexed citations

19.

Zarghili, Arsalane, et al.. (2011). Color facial authentication system based on neural network. 8–8. 2 indexed citations

20.

Zarghili, Arsalane, et al.. (2011). A color facial authentification system based on semi supervised backporpagation neural network. 2709. 1–4. 1 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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