Mahmoud Mejdoub

617 citations
32 papers · 381 indexed · 1 hit paper · h-index 11

Mahmoud Mejdoub

32 papers receiving 366 citations

Hit Papers

An Improved YOLOv8 to Detect Moving Objects63202420262025204060

Peers

Mahmoud Mejdoub
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 306
  • Media Technology 38
  • Human-Computer Interaction 16
  • Artificial Intelligence 71
  • Signal Processing 20
Replace Chongjian Ge with:
Chongjian Ge Hong Kong
Baisheng Lai China
Zhiqian Wang United States
A C Ramachandra India
Alimjan Aysa China
Changjae Oh United Kingdom
Kurban Ubul China
Rin‐ichiro Taniguchi Japan
Harsh Jain India
Bima Sena Bayu Dewantara Indonesia
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Citations per field
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Chongjian Ge · 1×
Citations per year

Countries citing papers authored by Mahmoud Mejdoub

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Mejdoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Mahmoud Mejdoub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mahmoud Mejdoub Line = papers co-authored together Mahmoud Mejdoub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202316
4 20234
5 20207
6 20187
7 20181
8 20172
9 20162
10 201514
11 20154
12 20148
13 20149
14 201410
15 20124
16 20111
17 201148
18 200820
19 200826
20 20079

About Mahmoud Mejdoub

Mahmoud Mejdoub is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 32 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (13 papers), Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (10 papers), Video Analysis and Summarization (5 papers), Anomaly Detection Techniques and Applications (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Media Technology (38 citations) and Human-Computer Interaction (16 citations). Mahmoud Mejdoub has collaborated with scholars based in Tunisia, Saudi Arabia and France. Frequent co-authors include Chokri Ben Amar, Najib Ben Aoun, Mouna Dammak, Marc Antonini, Chokri Ben Amar, Mourad Zaied, Monia Hamdi, Amel Ksibi and Olfa Ben Ahmed. Their work appears in journals such as Multimedia Tools and Applications, Journal of Visual Communication and Image Representation, IEEE Access, Neurocomputing and Pattern Recognition Letters.

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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