Mohammed Rziza

1.1k citations
89 papers · 651 indexed · h-index 13
Topics
Image Retrieval and Classification Techniques (21 papers)Face and Expression Recognition (18 papers)Advanced Image and Video Retrieval Techniques (14 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingPattern Recognition

In The Last Decade

Mohammed Rziza

78 papers receiving 618 citations

Peers

Mohammed Rziza
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 398
  • Signal Processing 130
  • Biomedical Engineering 84
  • Experimental and Cognitive Psychology 84
  • Artificial Intelligence 82
Replace Hyung Hong with:
Hyung Hong South Korea
Matthew Shreve United States
Ali Wali Tunisia
Munif Alotaibi Saudi Arabia
S. M. Mahbubur Rahman Bangladesh
K. Vasanth India
Siu‐Yeung Cho Singapore
S. A. R. Abu–Bakar Malaysia
Santosh Kumar Vipparthi India
Xi Peng United States
Mohammed Rziza relative to Hyung Hong South Korea Hyung Hong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed Rziza

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Rziza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Rziza

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Rziza. A scholar is included among the top collaborators of Mohammed Rziza 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 Mohammed Rziza. Mohammed Rziza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 6
5 4
6 2
7 5
8 5
9 14
10 1
11 1
12 1
13
Inter-Communication Classification for Multi- View Face Recognition
6
14 21
15 10
16
Feature Selection based on Genetic Algorithm compared to Mutual Information: A Case Study for Face Recognition
1
17 1
18
GA-SVM and Mutual Information based Frequency Feature Selection for Face Recognition
9
19
An improved method for face recognition based on SVM in frequency domain
3
20 10

About Mohammed Rziza

Mohammed Rziza is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 89 papers that have together received 651 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (21 papers), Face and Expression Recognition (18 papers) and Advanced Image and Video Retrieval Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Signal Processing (130 citations) and Media Technology (70 citations). Mohammed Rziza has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Aouatif Amine, Driss Aboutajdine, Sanaa Ghouzali, Mohammed El Hassouni, Mohamed El Aroussi, Rachid Oulad Haj Thami, George Bebis, Cédric Demonceaux, Abdelaziz Bensrhair and Alexandrina Rogozan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Pattern Recognition.

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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