Oualid Djekoune
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Media Technology top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Kahina AmaraNadia ZenatiMahmoud BelhocineOussama KerdjidjSamir BenbelkacemNaeem RamzanChérif LarbèsAdel Oulefki
- Topics
- Image and Object Detection Techniques (8 papers)Robotics and Sensor-Based Localization (7 papers)Robotic Path Planning Algorithms (5 papers)
- Partner nations
- AlgeriaUnited Arab EmiratesPakistan
In The Last Decade
Oualid Djekoune
27 papers receiving 295 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 212
- Aerospace Engineering 56
- Media Technology 35
- Biomedical Engineering 29
- Electrical and Electronic Engineering 25
Countries citing papers authored by Oualid Djekoune
This map shows the geographic impact of Oualid Djekoune'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 Oualid Djekoune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oualid Djekoune more than expected).
Fields of papers citing papers by Oualid Djekoune
This network shows the impact of papers produced by Oualid Djekoune. 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 Oualid Djekoune. The network helps show where Oualid Djekoune may publish in the future.
Co-authorship network of co-authors of Oualid Djekoune
This figure shows the co-authorship network connecting the top 25 collaborators of Oualid Djekoune. A scholar is included among the top collaborators of Oualid Djekoune 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 Oualid Djekoune. Oualid Djekoune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | Towards emotion recognition in immersive virtual environments: a method for facial emotion recognition | 6 |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 33 |
About Oualid Djekoune
Oualid Djekoune is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 28 papers that have together received 308 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (8 papers), Robotics and Sensor-Based Localization (7 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Health Informatics (14 citations) and Media Technology (35 citations). Oualid Djekoune has collaborated with scholars based in Algeria, United Arab Emirates and Pakistan. Frequent co-authors include Kahina Amara, Nadia Zenati, Mahmoud Belhocine, Oussama Kerdjidj, Samir Benbelkacem, Naeem Ramzan, Chérif Larbès, Adel Oulefki and Abderraouf Maoudj. Their work appears in journals such as Signal Processing, IEEE Sensors Journal and Optik.
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.