Mounîm A. El‐Yacoubi

2.5k citations
88 papers · 1.3k indexed · h-index 20

Mounîm A. El‐Yacoubi

76 papers receiving 1.2k citations

Peers

Mounîm A. El‐Yacoubi
Comparison fields: 5 of 114
  • Signal Processing 396
  • Computer Vision and Pattern Recognition 544
  • Transportation 124
  • Media Technology 125
  • Human-Computer Interaction 63
Replace Vivek Kanhangad with:
Vivek Kanhangad India
Noor Almaadeed Qatar
Kimiaki Shirahama Germany
Habib Ullah Pakistan
Xiangwei Zheng China
Dorothy Monekosso United Kingdom
Phyo Phyo San Australia
Aston Zhang United States
Marwa Qaraqe Qatar
Yung‐Hui Li Taiwan
Mounîm A. El‐Yacoubi relative to Vivek Kanhangad India Vivek Kanhangad's profile →
Citations per field
00.5×6.5×
Vivek Kanhangad · 1×
Citations per year

Countries citing papers authored by Mounîm A. El‐Yacoubi

Since Specialization
Citations

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

Fields of papers citing papers by Mounîm A. El‐Yacoubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mounîm A. El‐Yacoubi. 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 Mounîm A. El‐Yacoubi. The network helps show where Mounîm A. El‐Yacoubi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mounîm A. El‐Yacoubi, 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 Mounîm A. El‐Yacoubi Line = papers co-authored together Mounîm A. El‐Yacoubi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20250
4 20251
5 20250
6 20243
7 20241
8 20246
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10 20243
11 20240
12 20242
13 20232
14 202321
15 202224
16 202212
17 20206
18 202037
19 20201
20 2017162

About Mounîm A. El‐Yacoubi

Mounîm A. El‐Yacoubi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (19 papers), Biometric Identification and Security (15 papers), Natural Language Processing Techniques (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Video Surveillance and Tracking Methods (6 papers), Image Retrieval and Classification Techniques (6 papers) and Gait Recognition and Analysis (6 papers). The work is most often cited by research in Signal Processing (396 citations), Computer Vision and Pattern Recognition (544 citations) and Transportation (124 citations). Mounîm A. El‐Yacoubi has collaborated with scholars based in France, China and Canada. Frequent co-authors include Huafeng Qin, M. Gilloux, Robert Sabourin, Ching Y. Suen, Mehdi Ammi, Yantao Li, Vincent Gauthier, Ghazaleh Khodabandelou, Jakob Puchinger and Anne‐Sophie Rigaud. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

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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