Mostafa El Mallahi

618 citations
44 papers · 391 indexed · h-index 14
Topics
Image Retrieval and Classification Techniques (20 papers)Advanced Image and Video Retrieval Techniques (18 papers)Medical Image Segmentation Techniques (14 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsNeurocomputing
Partner nations
MoroccoIrelandCanada

In The Last Decade

Mostafa El Mallahi

38 papers receiving 379 citations

Peers

Mostafa El Mallahi
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 232
  • Artificial Intelligence 107
  • Information Systems 44
  • Control and Systems Engineering 34
  • Computational Mechanics 33
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Meiyu Liang China
Xueqing Li China
Fucheng You China
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Russ R. Salakhutdinov United States
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Citations per field
00.5×2.5×
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Citations per year

Countries citing papers authored by Mostafa El Mallahi

Since Specialization
Citations

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

Fields of papers citing papers by Mostafa El Mallahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mostafa El Mallahi. 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 Mostafa El Mallahi. The network helps show where Mostafa El Mallahi may publish in the future.

Co-authorship network of co-authors of Mostafa El Mallahi

This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa El Mallahi. A scholar is included among the top collaborators of Mostafa El Mallahi 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 Mostafa El Mallahi. Mostafa El Mallahi 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 1
2 1
3 0
4 0
5 12
6 0
7 0
8 4
9 0
10 8
11 0
12 7
13 7
14 6
15 3
16 7
17 20
18 17
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20 17

About Mostafa El Mallahi

Mostafa El Mallahi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 44 papers that have together received 391 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (20 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Medical Image Segmentation Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Computational Mathematics (2 citations) and Artificial Intelligence (107 citations). Mostafa El Mallahi has collaborated with scholars based in Morocco, Ireland and Canada. Frequent co-authors include Hassan Qjidaa, Nabil Alami, Khalid Zenkouar, Abdelaziz Hmamed, Hamid Tairi, Jamal Riffi, Bensalem Boukili, Mohamed Adnane Mahraz, Ismail Boumhidi and Hicham Karmouni. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

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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