Ameur Benséfia

40 total papers · 651 total citations
21 papers, 442 citations indexed

About

Ameur Benséfia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ameur Benséfia has authored 21 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Ameur Benséfia's work include Handwritten Text Recognition Techniques (13 papers), Image Processing and 3D Reconstruction (8 papers) and Natural Language Processing Techniques (7 papers). Ameur Benséfia is often cited by papers focused on Handwritten Text Recognition Techniques (13 papers), Image Processing and 3D Reconstruction (8 papers) and Natural Language Processing Techniques (7 papers). Ameur Benséfia collaborates with scholars based in United Arab Emirates, France and Algeria. Ameur Benséfia's co-authors include Thierry Paquet, Laurent Heutte, Chawki Djeddi, Abdeljalil Gattal, Imran Siddiqi and Kamel Saoudi and has published in prestigious journals such as Pattern Recognition Letters, EURASIP Journal on Image and Video Processing and International Journal of Information Technology.

In The Last Decade

Ameur Benséfia

21 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ameur Benséfia 375 146 145 46 42 21 442
Andreas Schlapbach 409 1.1× 184 1.3× 113 0.8× 97 2.1× 40 1.0× 16 440
Matej Perše 232 0.6× 101 0.7× 74 0.5× 22 0.5× 17 0.4× 15 387
Amit Das 186 0.5× 231 1.6× 48 0.3× 25 0.5× 16 0.4× 49 461
Stefan Agne 280 0.7× 128 0.9× 22 0.2× 38 0.8× 55 1.3× 27 381
Sheikh Abujar 114 0.3× 277 1.9× 58 0.4× 48 1.0× 61 1.5× 44 437
Claudie Faure 318 0.8× 69 0.5× 127 0.9× 20 0.4× 9 0.2× 21 399
Sha Xin Wei 318 0.8× 115 0.8× 54 0.4× 24 0.5× 6 0.1× 20 391
Huo-Chong Ling 207 0.6× 113 0.8× 20 0.1× 34 0.7× 50 1.2× 25 406
Sujoy Roy 325 0.9× 87 0.6× 27 0.2× 16 0.3× 69 1.6× 36 452
Houcine Boubaker 337 0.9× 157 1.1× 89 0.6× 75 1.6× 16 0.4× 35 374

Countries citing papers authored by Ameur Benséfia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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