Ameur Benséfia
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Human-Computer Interaction top 10%
- Information Systems
- Co-authors
- Thierry PaquetLaurent HeutteHeba MohammadChawki DjeddiKamel SaoudiImran SiddiqiAbdeljalil Gattal
- Topics
- Handwritten Text Recognition Techniques (13 papers)Image Processing and 3D Reconstruction (8 papers)Natural Language Processing Techniques (7 papers)
- Journals
- Pattern Recognition LettersEURASIP Journal on Image and Video ProcessingInternational Journal of Information Technology
- Partner nations
- United Arab EmiratesFranceAlgeria
In The Last Decade
Ameur Benséfia
21 papers receiving 402 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 375
- Artificial Intelligence 146
- Media Technology 145
- Human-Computer Interaction 47
- Information Systems 42
Countries citing papers authored by Ameur Benséfia
This map shows the geographic impact of Ameur Benséfia'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 Ameur Benséfia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ameur Benséfia more than expected).
Fields of papers citing papers by Ameur Benséfia
This network shows the impact of papers produced by Ameur Benséfia. 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 Ameur Benséfia. The network helps show where Ameur Benséfia may publish in the future.
Co-authorship network of co-authors of Ameur Benséfia
This figure shows the co-authorship network connecting the top 25 collaborators of Ameur Benséfia. A scholar is included among the top collaborators of Ameur Benséfia 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 Ameur Benséfia. Ameur Benséfia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 43 | |
| 15 | 54 | |
| 16 | 156 | |
| 17 | 29 | |
| 18 | Grapheme based writer verification | 5 |
| 19 | 56 | |
| 20 | Information Retrieval Based Writer Identification. | 7 |
About Ameur Benséfia
Ameur Benséfia is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 444 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Image Processing and 3D Reconstruction (8 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (375 citations), Media Technology (145 citations) and Human-Computer Interaction (47 citations). Ameur Benséfia has collaborated with scholars based in United Arab Emirates, France and Algeria. Frequent co-authors include Thierry Paquet, Laurent Heutte, Heba Mohammad, Chawki Djeddi, Kamel Saoudi, Imran Siddiqi and Abdeljalil Gattal. Their work appears in journals such as Pattern Recognition Letters, EURASIP Journal on Image and Video Processing and International Journal of Information Technology.
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.