Hamid Tairi

2.4k total citations
170 papers, 1.4k citations indexed

About

Hamid Tairi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Hamid Tairi has authored 170 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 20 papers in Neurology. Recurrent topics in Hamid Tairi's work include Video Surveillance and Tracking Methods (29 papers), Advanced Vision and Imaging (24 papers) and Brain Tumor Detection and Classification (20 papers). Hamid Tairi is often cited by papers focused on Video Surveillance and Tracking Methods (29 papers), Advanced Vision and Imaging (24 papers) and Brain Tumor Detection and Classification (20 papers). Hamid Tairi collaborates with scholars based in Morocco, France and India. Hamid Tairi's co-authors include Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy, Omar Elharrouss, My Abdelouahed Sabri, Somaya Al-Máadeed, Mohamed O. Elasri, Khalid Satori, Abderrahim Saaidi and Badraddine Aghoutane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hamid Tairi

158 papers receiving 1.3k citations

Peers

Hamid Tairi

CVPR

AI

RNMI

NEURO

IS

Akmalbek Abdusalomov South Korea

Ghazanfar Latif Saudi Arabia

Adi Alhudhaif Saudi Arabia

Rahib H. Abiyev Cyprus

Karim Afdel Morocco

Toqeer Mahmood Pakistan

Galip Aydın Türkiye

Chrisina Jayne United Kingdom

Jeongmin Park South Korea

Akmalbek Abdusalomov South Korea

Hamid Tairi

831 ×1.2

CVPR

308 ×0.8

AI

125 ×0.7

RNMI

277 ×1.7

NEURO

69 ×0.5

IS

Citations per year, relative to Hamid Tairi Hamid Tairi (= 1×) peers Akmalbek Abdusalomov

Countries citing papers authored by Hamid Tairi

Since Specialization

Citations

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

Fields of papers citing papers by Hamid Tairi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Tairi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Tairi. A scholar is included among the top collaborators of Hamid Tairi 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 Hamid Tairi. Hamid Tairi 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

1.

Mahraz, Mohamed Adnane, et al.. (2024). Brain tumor classification using feature extraction and ensemble learning. 33(3/4). 3–28. 1 indexed citations

2.

Riffi, Jamal, et al.. (2024). Contextual Recommendations: Dynamic Graph Attention Networks With Edge Adaptation. IEEE Access. 12. 151019–151029. 9 indexed citations

3.

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

4.

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

5.

Yahyaouy, Ali, et al.. (2024). A novel MLP-Mixer and channel attention based network for medical image segmentation. 1–6.

6.

Mahraz, Mohamed Adnane, et al.. (2024). Deep Learning-Based Estimation of Olive Flower Density from UAV Imagery. 1–6.

7.

Yahyaouy, Ali, et al.. (2024). Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images. SHILAP Revista de lepidopterología. 7(1). 2–2. 23 indexed citations

8.

Tairi, Hamid, et al.. (2024). USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert. 432–436. 1 indexed citations

9.

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

10.

Riffi, Jamal, et al.. (2024). Towards Maximum Efficiency: Combining ELM with BA for Credit Card Fraud Detection. 1–8. 1 indexed citations

11.

Tairi, Hamid, et al.. (2023). A novel cancelable finger vein templates based on LDM and RetinexGan. Pattern Recognition. 142. 109643–109643. 9 indexed citations

12.

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

13.

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

14.

Tairi, Hamid, et al.. (2023). Watermarking approach based on Hermite transform and a sliding window algorithm. Multimedia Tools and Applications. 82(30). 47635–47667. 1 indexed citations

15.

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

16.

Tairi, Hamid, et al.. (2023). Modeling of Energy Consumption and Print Time for FDM 3D Printing Using Multilayer Perceptron Network. Journal of Manufacturing and Materials Processing. 7(4). 128–128. 7 indexed citations

17.

Tairi, Hamid, et al.. (2022). A proposed architectural learner model for a personalized learning environment. Education and Information Technologies. 28(4). 4243–4263. 13 indexed citations

18.

Sabri, My Abdelouahed, et al.. (2020). A Survey on Educational Data Mining [2014-2019]. 1–6. 28 indexed citations

19.

Yahyaouy, Ali, et al.. (2013). Energy management in an electrical hybrid system using a fuzzy inference control system. 1 indexed citations

20.

Saaidi, Abderrahim, et al.. (2008). Self-calibration using a particular motion of camera. WSEAS Transactions on Computers archive. 3(5). 295–299. 23 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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