Mohamed El Ansari

1.5k total citations
90 papers, 1.0k citations indexed

About

Mohamed El Ansari is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Oncology. According to data from OpenAlex, Mohamed El Ansari has authored 90 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 26 papers in Gastroenterology and 21 papers in Oncology. Recurrent topics in Mohamed El Ansari's work include Gastrointestinal Bleeding Diagnosis and Treatment (26 papers), Colorectal Cancer Screening and Detection (18 papers) and Advanced Vision and Imaging (18 papers). Mohamed El Ansari is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (26 papers), Colorectal Cancer Screening and Detection (18 papers) and Advanced Vision and Imaging (18 papers). Mohamed El Ansari collaborates with scholars based in Morocco, France and United States. Mohamed El Ansari's co-authors include Said Charfi, Ayoub Ellahyani, Lahcen Koutti, Lhoussaine Masmoudi, Abdelaziz Bensrhair, Stéphane Mousset, Ilangko Balasingham, George Bebis, Francisco-Ángel Moreno and Driss Ouazar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Mohamed El Ansari

80 papers receiving 1.0k 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 El Ansari Morocco 19 553 259 240 193 189 90 1.0k
Yoshito Mekada Japan 13 319 0.6× 70 0.3× 42 0.2× 68 0.4× 64 0.3× 64 575
Bisser Raytchev Japan 13 367 0.7× 61 0.2× 403 1.7× 169 0.9× 40 0.2× 78 922
Huijie Fan China 14 413 0.7× 23 0.1× 51 0.2× 152 0.8× 108 0.6× 53 818
Yasin Almalıoğlu United Kingdom 10 342 0.6× 62 0.2× 44 0.2× 121 0.6× 37 0.2× 15 743
Umut Özkaya Türkiye 12 105 0.2× 23 0.1× 122 0.5× 209 1.1× 15 0.1× 28 613
Tianwei Zhou China 19 457 0.8× 8 0.0× 114 0.5× 149 0.8× 210 1.1× 73 954
Kwang-Baek Kim South Korea 10 140 0.3× 82 0.3× 29 0.1× 81 0.4× 49 0.3× 162 536
Jun-Yan He China 11 316 0.6× 65 0.3× 66 0.3× 155 0.8× 16 0.1× 18 479
N. Sri Madhava Raja India 16 488 0.9× 8 0.0× 75 0.3× 464 2.4× 140 0.7× 46 1.3k
Jiexin Pu China 13 387 0.7× 69 0.3× 10 0.0× 126 0.7× 102 0.5× 72 672

Countries citing papers authored by Mohamed El Ansari

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed El Ansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed El Ansari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed El Ansari. A scholar is included among the top collaborators of Mohamed El Ansari 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 El Ansari. Mohamed El Ansari 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.
Charfi, Said, et al.. (2025). MLFE‐UNet: Multi‐Level Feature Extraction Transformer‐Based UNet for Gastrointestinal Disease Segmentation. International Journal of Imaging Systems and Technology. 35(1).
2.
Charfi, Said, et al.. (2025). GSAC-UFormer: Groupwise Self-Attention Convolutional Transformer-Based UNet for Medical Image Segmentation. Cognitive Computation. 17(2). 3 indexed citations
3.
Koutti, Lahcen, et al.. (2025). A novel hybrid deep learning framework for pedestrian detection based on thermal infrared and visible spectrum images. Multimedia Tools and Applications. 84(33). 41451–41477.
4.
Ansari, Mohamed El, et al.. (2025). InCoLoTransNet: An Involution-Convolution and Locality Attention-Aware Transformer for Precise Colorectal Polyp Segmentation in GI Images. Journal of Imaging Informatics in Medicine. 38(5). 3330–3350.
5.
Charfi, Said, et al.. (2024). DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation. Biomedical Signal Processing and Control. 101. 107200–107200. 2 indexed citations
6.
Charfi, Said, et al.. (2024). Modified residual attention network for abnormalities segmentation and detection in WCE images. Soft Computing. 28(9-10). 6923–6936. 3 indexed citations
7.
Charfi, Said, et al.. (2024). MLFA-UNet: A multi-level feature assembly UNet for medical image segmentation. Methods. 232. 52–64. 6 indexed citations
8.
Ansari, Mohamed El, et al.. (2023). A Multiscale Polyp Detection Approach for GI Tract Images Based on Improved DenseNet and Single-Shot Multibox Detector. Diagnostics. 13(4). 733–733. 19 indexed citations
9.
Ansari, Mohamed El, et al.. (2023). Computer-aided system for bleeding detection in WCE images based on CNN-GRU network. Multimedia Tools and Applications. 83(7). 21081–21106. 12 indexed citations
10.
11.
Ansari, Mohamed El, et al.. (2022). MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images. Multimedia Tools and Applications. 81(11). 16021–16045. 27 indexed citations
12.
Masmoudi, Lhoussaine, et al.. (2021). A calibration method of 2D LIDAR-Visual sensors embedded on an agricultural robot. Optik. 249. 168254–168254. 10 indexed citations
13.
Ansari, Mohamed El, et al.. (2020). Support vector machines based stereo matching method for advanced driver assistance systems. Multimedia Tools and Applications. 79(37-38). 27039–27055. 6 indexed citations
14.
Minaoui, Khalid, et al.. (2018). Automatic detection of Moroccan coastal upwelling zones using sea surface temperature images. International Journal of Remote Sensing. 40(7). 2648–2666. 10 indexed citations
15.
Ansari, Mohamed El, et al.. (2018). A new thermal infrared and visible spectrum images-based pedestrian detection system. Multimedia Tools and Applications. 78(12). 15861–15885. 32 indexed citations
16.
Ellahyani, Ayoub & Mohamed El Ansari. (2017). A new designed descriptor for road sign recognition. 1–6. 6 indexed citations
17.
Koutti, Lahcen, et al.. (2016). Temporal consistent stereo matching approach for road applications. 7. 1–6. 2 indexed citations
18.
Ellahyani, Ayoub, et al.. (2016). Traffic sign detection and recognition based on random forests. Applied Soft Computing. 46. 805–815. 127 indexed citations
19.
Ellahyani, Ayoub & Mohamed El Ansari. (2016). Mean shift and log-polar transform for road sign detection. Multimedia Tools and Applications. 76(22). 24495–24513. 27 indexed citations
20.
Ansari, Mohamed El, et al.. (2011). A new vehicle detection method. International Journal of Advanced Computer Science and Applications. 1(3). 3 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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