Fayçal Hamdaoui
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- Medical Image Segmentation Techniques 7
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 6
- Video Surveillance and Tracking Methods 6
- Media Technology top 5%
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 6
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- Brain Tumor Detection and Classification 5
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- Autonomous Vehicle Technology and Safety 4
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- CCD and CMOS Imaging Sensors 3
- Journals
- International Journal of Imaging Systems and Technology (3 papers)The Visual Computer (2 papers)Applied Intelligence (1 paper)
- Partner nations
- Tunisia
In The Last Decade
Fayçal Hamdaoui
23 papers receiving 417 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 228
- Media Technology 57
- Health Informatics 8
- Artificial Intelligence 146
- Neurology 25
Countries citing papers authored by Fayçal Hamdaoui
This map shows the geographic impact of Fayçal Hamdaoui'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 Fayçal Hamdaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fayçal Hamdaoui more than expected).
Fields of papers citing papers by Fayçal Hamdaoui
This network shows the impact of papers produced by Fayçal Hamdaoui. 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 Fayçal Hamdaoui. The network helps show where Fayçal Hamdaoui may publish in the future.
Co-authorship network
The 4 scholars most cited alongside Fayçal Hamdaoui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 1 | |
| 6 | A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasetsbreakdown → | 2021 | 238 |
| 7 | 2020 | 35 | |
| 8 | 2019 | 4 | |
| 9 | Robust FPGA Hardware Architecture of DPSO Multilevel Image Segmentation | 2017 | 1 |
| 10 | 2017 | 24 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 0 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 17 | |
| 19 | 2013 | 15 | |
| 20 | 2013 | 2 |
About Fayçal Hamdaoui
Fayçal Hamdaoui is a scholar working on Computer Vision and Pattern Recognition, Neurology and General Dentistry, having authored 25 papers that have together received 448 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Video Surveillance and Tracking Methods (6 papers), Brain Tumor Detection and Classification (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Media Technology (57 citations) and Health Informatics (8 citations). Fayçal Hamdaoui has collaborated with scholars based in Tunisia. Frequent co-authors include Abdellatif Mtibaa, Khaled Bayoudh, Anis Sakly and Mohamed Hamdaouı. Their work appears in journals such as International Journal of Imaging Systems and Technology, The Visual Computer, Applied Intelligence, Electronics and Asian Journal of Applied Sciences.
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.