Driss Mammass

128 total papers · 799 total citations
60 papers, 468 citations indexed

About

Driss Mammass is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Driss Mammass has authored 60 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Driss Mammass's work include Handwritten Text Recognition Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Image Retrieval and Classification Techniques (7 papers). Driss Mammass is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Remote-Sensing Image Classification (9 papers) and Image Retrieval and Classification Techniques (7 papers). Driss Mammass collaborates with scholars based in Morocco, France and Canada. Driss Mammass's co-authors include Youssef Es-Saady, Abderrahim Elmoataz, Olivier Lézoray, Hassan Douzi, Mustapha Amrouch, Stéphane Nicolas, Mohamed El Hajji, Driss Aboutajdine, Gaëtan Le Goïc and Alamin Mansouri and has published in prestigious journals such as Lecture notes in computer science, Education and Information Technologies and The Visual Computer.

In The Last Decade

Driss Mammass

54 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Driss Mammass	147	116	95	92	70	60	468
Sangeeta Gupta	59 0.4×	101 0.9×	60 0.6×	53 0.6×	17 0.2×	44	410
Mohamed Ezz	51 0.3×	46 0.4×	153 1.6×	26 0.3×	18 0.3×	47	437
D. S. Bormane	180 1.2×	34 0.3×	74 0.8×	7 0.1×	47 0.7×	62	407
Marílton Sanchotene de Aguiar	34 0.2×	101 0.9×	55 0.6×	30 0.3×	9 0.1×	81	422
Juhi Gupta	92 0.6×	11 0.1×	114 1.2×	39 0.4×	71 1.0×	64	545
Ashraf Y. A. Maghari	132 0.9×	72 0.6×	184 1.9×	6 0.1×	33 0.5×	35	436
Oumaima Saidani	105 0.7×	16 0.1×	190 2.0×	14 0.2×	13 0.2×	56	484
Kourosh Neshatian	63 0.4×	39 0.3×	318 3.3×	33 0.4×	8 0.1×	37	431
Krishna Chandramouli	146 1.0×	5 0.0×	95 1.0×	72 0.8×	14 0.2×	41	432
Suhaila Zainudin	31 0.2×	83 0.7×	163 1.7×	4 0.0×	26 0.4×	58	549

Countries citing papers authored by Driss Mammass

Since Specialization

Citations

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

Fields of papers citing papers by Driss Mammass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Driss Mammass

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