Souham Meshoul

1.2k total citations
77 papers, 616 citations indexed

About

Souham Meshoul is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Souham Meshoul has authored 77 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Theory and Mathematics. Recurrent topics in Souham Meshoul's work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Souham Meshoul is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Souham Meshoul collaborates with scholars based in Saudi Arabia, Algeria and United Kingdom. Souham Meshoul's co-authors include Mohamed Batouche, Salima Ouadfel, Hadil Shaiba, Amer Draa, Mohamed Hammad, Ghada Atteia, Ibrahim A. Elgendy, Hanaa A. Abdallah, Yasser M. Kadah and Mugahed A. Al–antari and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Souham Meshoul

70 papers receiving 585 citations

Peers

Souham Meshoul
Comparison fields: 5 of 110
  • Artificial Intelligence 292
  • Computer Vision and Pattern Recognition 167
  • Computational Theory and Mathematics 65
  • Information Systems 61
  • Computer Networks and Communications 55
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Yunfeng Liu China View profile →
Citations per field, relative to Souham Meshoul
Souham Meshoul · 1×
Citations per year, relative to Souham Meshoul
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Countries citing papers authored by Souham Meshoul

Since Specialization
Citations

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

Fields of papers citing papers by Souham Meshoul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souham Meshoul

This figure shows the co-authorship network connecting the top 25 collaborators of Souham Meshoul. A scholar is included among the top collaborators of Souham Meshoul 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 Souham Meshoul. Souham Meshoul 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
# Work Indexed citations
1 0
2 2
3 0
4 2
5 0
6 1
7 17
8 13
9 17
10 1
11 22
12 35
13 12
14 3
15
Stacked Sparse Autoencoder For Unsupervised Features Learning in PanCancer miRNA Cancer Classification.
1
16 1
17 11
18 48
19 13
20
An Evolutionary Framework for Multi-Modality Image Alignment.
1

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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