Mokhtar Sellami

132 total papers · 931 total citations
54 papers, 586 citations indexed

About

Mokhtar Sellami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mokhtar Sellami has authored 54 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Mokhtar Sellami's work include Handwritten Text Recognition Techniques (19 papers), Natural Language Processing Techniques (9 papers) and Image Processing and 3D Reconstruction (7 papers). Mokhtar Sellami is often cited by papers focused on Handwritten Text Recognition Techniques (19 papers), Natural Language Processing Techniques (9 papers) and Image Processing and 3D Reconstruction (7 papers). Mokhtar Sellami collaborates with scholars based in Algeria, France and Tunisia. Mokhtar Sellami's co-authors include Labiba Souici‐Meslati, Nadir Farah, Hafed Zarzour, Nabiha Azizi, Nilanjan Dey, Monther Aldwairi, Hamid Séridi, Mohamed Tarek Khadir, Amira S. Ashour and A. Laatar and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Pattern Recognition Letters.

In The Last Decade

Mokhtar Sellami

51 papers receiving 511 citations

Author Peers

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

Author						Papers	Cites
Mokhtar Sellami	366	338	132	67	50	54	586
Syed Saqib Bukhari	488 1.3×	161 0.5×	139 1.1×	49 0.7×	60 1.2×	61	697
Mohsen Rashwan	213 0.6×	484 1.4×	58 0.4×	59 0.9×	12 0.2×	78	677
Alceu de Souza Britto	296 0.8×	286 0.8×	71 0.5×	38 0.6×	20 0.4×	69	581
B. S. Harish	184 0.5×	386 1.1×	33 0.3×	100 1.5×	18 0.4×	61	683
Malik Muhammad Saad Missen	196 0.5×	212 0.6×	54 0.4×	72 1.1×	12 0.2×	54	612
Peeta Basa Pati	248 0.7×	134 0.4×	108 0.8×	33 0.5×	19 0.4×	85	502
Vamsi Krishna Madasu	514 1.4×	222 0.7×	179 1.4×	60 0.9×	38 0.8×	50	655
Martin Loomes	104 0.3×	244 0.7×	25 0.2×	104 1.6×	17 0.3×	56	580
Mickaël Coustaty	257 0.7×	220 0.7×	55 0.4×	57 0.9×	11 0.2×	55	496
G. Raju	411 1.1×	222 0.7×	231 1.8×	76 1.1×	41 0.8×	75	673

Countries citing papers authored by Mokhtar Sellami

Since Specialization

Citations

This map shows the geographic impact of Mokhtar Sellami'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 Mokhtar Sellami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mokhtar Sellami more than expected).

Fields of papers citing papers by Mokhtar Sellami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mokhtar Sellami. 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 Mokhtar Sellami. The network helps show where Mokhtar Sellami may publish in the future.

Co-authorship network of co-authors of Mokhtar Sellami

This figure shows the co-authorship network connecting the top 25 collaborators of Mokhtar Sellami. A scholar is included among the top collaborators of Mokhtar Sellami 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 Mokhtar Sellami. Mokhtar Sellami 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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