Hamdi Altaheri

1.9k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Hamdi Altaheri is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hamdi Altaheri has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Electrical and Electronic Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hamdi Altaheri's work include EEG and Brain-Computer Interfaces (8 papers), Advanced Memory and Neural Computing (7 papers) and Neuroscience and Neural Engineering (5 papers). Hamdi Altaheri is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Advanced Memory and Neural Computing (7 papers) and Neuroscience and Neural Engineering (5 papers). Hamdi Altaheri collaborates with scholars based in Saudi Arabia, Norway and Kuwait. Hamdi Altaheri's co-authors include Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Wadood Abdul, Mohamed A. Bencherif, Ghadir Ali Altuwaijri, Mohammed Faisal, Mohammed Algabri, Mohamed Amine Mekhtiche and Yousef Ajami Alotaibi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Hamdi Altaheri

16 papers receiving 1.2k citations

Hit Papers

Deep learning techniques for classification of electroenc... 2021 2026 2022 2024 2021 2022 100 200 300

Peers

Hamdi Altaheri
Hubert Cecotti United States
Axel Gräser Germany
Umut Orhan Türkiye
Kyoobin Lee South Korea
Huijuan Yang Singapore
Hamdi Altaheri
Citations per year, relative to Hamdi Altaheri Hamdi Altaheri (= 1×) peers Mohamed A. Bencherif

Countries citing papers authored by Hamdi Altaheri

Since Specialization
Citations

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

Fields of papers citing papers by Hamdi Altaheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamdi Altaheri

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

All Works

18 of 18 papers shown
1.
Haque, Md. Rezwanul, et al.. (2025). MMFformer: Multimodal Fusion Transformer Network for Depression Detection. 5912–5919.
2.
Altaheri, Hamdi, Fakhri Karray, & Amir-Hossein Karimi. (2025). Temporal convolutional transformer for EEG based motor imagery decoding. Scientific Reports. 15(1). 32959–32959.
3.
Altaheri, Hamdi, et al.. (2024). Crowd Management Intelligence Framework: Umrah Use Case. IEEE Access. 12. 6752–6767. 10 indexed citations
4.
Altaheri, Hamdi, Ghulam Muhammad, & Mansour Alsulaiman. (2023). Dynamic Convolution With Multilevel Attention for EEG-Based Motor Imagery Decoding. IEEE Internet of Things Journal. 10(21). 18579–18588. 41 indexed citations
5.
Faisal, Mohammed, Mansour Alsulaiman, Mohamed Amine Mekhtiche, et al.. (2023). Enabling Two-Way Communication of Deaf Using Saudi Sign Language. IEEE Access. 11. 135423–135434. 10 indexed citations
6.
Alsulaiman, Mansour, Mohammed Faisal, Mohamed Amine Mekhtiche, et al.. (2023). Facilitating the communication with deaf people: Building a largest Saudi sign language dataset. Journal of King Saud University - Computer and Information Sciences. 35(8). 101642–101642. 19 indexed citations
7.
Altaheri, Hamdi, Ghulam Muhammad, & Mansour Alsulaiman. (2022). Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification. IEEE Transactions on Industrial Informatics. 19(2). 2249–2258. 229 indexed citations breakdown →
8.
Al-Hammadi, Muneer, Mohamed A. Bencherif, Mansour Alsulaiman, et al.. (2022). Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition. Sensors. 22(12). 4558–4558. 23 indexed citations
9.
Altuwaijri, Ghadir Ali, Ghulam Muhammad, Hamdi Altaheri, & Mansour Alsulaiman. (2022). A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification. Diagnostics. 12(4). 995–995. 75 indexed citations
10.
Amin, Syed Umar, Hamdi Altaheri, Ghulam Muhammad, Wadood Abdul, & Mansour Alsulaiman. (2021). Attention-Inception and Long- Short-Term Memory-Based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation. IEEE Transactions on Industrial Informatics. 18(8). 5412–5421. 88 indexed citations
11.
Altaheri, Hamdi, et al.. (2021). Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning. IEEE Access. 9. 62719–62733. 36 indexed citations
12.
Altaheri, Hamdi, Ghulam Muhammad, Mansour Alsulaiman, et al.. (2021). Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review. Neural Computing and Applications. 35(20). 14681–14722. 341 indexed citations breakdown →
13.
Amin, Syed Umar, Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, & Wadood Abdul. (2021). Attention based Inception model for robust EEG motor imagery classification. 1–6. 26 indexed citations
14.
Muhammad, Ghulam, Syed Umar Amin, Mansour Alsulaiman, et al.. (2021). Electroencephalography-based motor imagery classification using temporal convolutional network fusion. Biomedical Signal Processing and Control. 69. 102826–102826. 136 indexed citations
15.
Altaheri, Hamdi, Mansour Alsulaiman, Ghulam Muhammad, et al.. (2019). Date fruit dataset for intelligent harvesting. SHILAP Revista de lepidopterología. 26. 104514–104514. 53 indexed citations
16.
Altaheri, Hamdi, Mansour Alsulaiman, & Ghulam Muhammad. (2019). Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning. IEEE Access. 7. 117115–117133. 142 indexed citations
17.
Altaheri, Hamdi, et al.. (2017). An Acoustic Analysis and Comparison of Two Unique and Almost Identical Arabic Emphatic Phonemes. 84–88. 1 indexed citations
18.
Faisal, Mohammed, Mansour Alsulaiman, Ramdane Hedjar, et al.. (2016). Enhancement of mobile robot localization using extended Kalman filter. Advances in Mechanical Engineering. 8(11). 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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