Tarek M. Hamdani
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 10%
- Signal Processing
- Computational Theory and Mathematics
- Co-authors
- Adel M. AlimiFakhri KarrayMounir Ben AyedJavier MedinaBilel NejiTaha BeyrouthyMohamed Ben HalimaJavier Nogueras-Iso
- Topics
- Handwritten Text Recognition Techniques (13 papers)Neural Networks and Applications (11 papers)Face and Expression Recognition (8 papers)
- Partner nations
- TunisiaSouth AfricaSaudi Arabia
In The Last Decade
Tarek M. Hamdani
51 papers receiving 315 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 154
- Media Technology 32
- Signal Processing 31
- Computational Theory and Mathematics 26
Countries citing papers authored by Tarek M. Hamdani
This map shows the geographic impact of Tarek M. Hamdani'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 Tarek M. Hamdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarek M. Hamdani more than expected).
Fields of papers citing papers by Tarek M. Hamdani
This network shows the impact of papers produced by Tarek M. Hamdani. 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 Tarek M. Hamdani. The network helps show where Tarek M. Hamdani may publish in the future.
Co-authorship network of co-authors of Tarek M. Hamdani
This figure shows the co-authorship network connecting the top 25 collaborators of Tarek M. Hamdani. A scholar is included among the top collaborators of Tarek M. Hamdani 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 Tarek M. Hamdani. Tarek M. Hamdani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | Conflict Negotiation Process with Stress Parameters Control for New Classifier Decision Fusion Scheme. | 5 |
| 19 | 4 | |
| 20 | 3 |
About Tarek M. Hamdani
Tarek M. Hamdani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 56 papers that have together received 325 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Neural Networks and Applications (11 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Artificial Intelligence (154 citations) and Media Technology (32 citations). Tarek M. Hamdani has collaborated with scholars based in Tunisia, South Africa and Saudi Arabia. Frequent co-authors include Adel M. Alimi, Fakhri Karray, Mounir Ben Ayed, Javier Medina, Bilel Neji, Fakhri Karray, Taha Beyrouthy, Mohamed Ben Halima, Javier Nogueras-Iso and Ajith Abraham. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.