Abdenour Amamra
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Aerospace Engineering
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Moussa AmraniNabil AoufYacine AmaraGongliu YangFalin WuM. RichardsonReza MalekiAbdelkrim Nemra
- Topics
- Advanced Vision and Imaging (8 papers)Advanced Neural Network Applications (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Remote SensingIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- AlgeriaUnited KingdomFrance
In The Last Decade
Abdenour Amamra
23 papers receiving 246 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 69
- Aerospace Engineering 46
- Media Technology 33
- Radiology, Nuclear Medicine and Imaging 21
Countries citing papers authored by Abdenour Amamra
This map shows the geographic impact of Abdenour Amamra'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 Abdenour Amamra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdenour Amamra more than expected).
Fields of papers citing papers by Abdenour Amamra
This network shows the impact of papers produced by Abdenour Amamra. 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 Abdenour Amamra. The network helps show where Abdenour Amamra may publish in the future.
Co-authorship network of co-authors of Abdenour Amamra
This figure shows the co-authorship network connecting the top 25 collaborators of Abdenour Amamra. A scholar is included among the top collaborators of Abdenour Amamra 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 Abdenour Amamra. Abdenour Amamra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 122 | |
| 10 | 50 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 4 |
About Abdenour Amamra
Abdenour Amamra is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Human-Computer Interaction, having authored 26 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Advanced Neural Network Applications (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (96 citations), Media Technology (33 citations) and Human-Computer Interaction (12 citations). Abdenour Amamra has collaborated with scholars based in Algeria, United Kingdom and France. Frequent co-authors include Moussa Amrani, Nabil Aouf, Yacine Amara, Gongliu Yang, Falin Wu, M. Richardson, Reza Maleki, Abdelkrim Nemra, Abbas Bradai and Fethi Demim. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and IEEE Transactions on Intelligent Transportation Systems.
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.