Mounir Ben Ayed

1.6k total citations
82 papers, 802 citations indexed

About

Mounir Ben Ayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mounir Ben Ayed has authored 82 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Mounir Ben Ayed's work include Data Visualization and Analytics (17 papers), Semantic Web and Ontologies (12 papers) and IoT and Edge/Fog Computing (11 papers). Mounir Ben Ayed is often cited by papers focused on Data Visualization and Analytics (17 papers), Semantic Web and Ontologies (12 papers) and IoT and Edge/Fog Computing (11 papers). Mounir Ben Ayed collaborates with scholars based in Tunisia, France and Sweden. Mounir Ben Ayed's co-authors include Hela Ltifi, Adel M. Alimi, Christophe Kolski, Zied Kechaou, Javier Medina, Wael Ouarda, Houcine Boubaker, Tarek M. Hamdani, Ahmed Kharrat and Mohamed Ben Halima and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Mounir Ben Ayed

80 papers receiving 765 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mounir Ben Ayed Tunisia 16 287 233 156 136 72 82 802
Jagendra Singh India 23 303 1.1× 189 0.8× 126 0.8× 201 1.5× 34 0.5× 113 1.1k
Susan McKeever Ireland 13 220 0.8× 364 1.6× 179 1.1× 110 0.8× 62 0.9× 52 848
Aldo Franco Dragoni Italy 16 377 1.3× 326 1.4× 174 1.1× 123 0.9× 23 0.3× 82 941
Alejandro Baldominos Spain 15 284 1.0× 301 1.3× 103 0.7× 109 0.8× 50 0.7× 27 842
Hrudaya Kumar Tripathy India 19 222 0.8× 213 0.9× 100 0.6× 97 0.7× 45 0.6× 69 888
Awais Yasin Pakistan 15 312 1.1× 166 0.7× 233 1.5× 167 1.2× 25 0.3× 30 911
K. G. Srinivasa India 15 356 1.2× 114 0.5× 128 0.8× 228 1.7× 52 0.7× 129 821
David Martínez‐Rego Spain 13 345 1.2× 109 0.5× 80 0.5× 220 1.6× 27 0.4× 28 940
Umar Manzoor Pakistan 16 303 1.1× 116 0.5× 144 0.9× 138 1.0× 35 0.5× 74 778
Gabriella Casalino Italy 15 257 0.9× 166 0.7× 116 0.7× 152 1.1× 21 0.3× 51 899

Countries citing papers authored by Mounir Ben Ayed

Since Specialization
Citations

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

Fields of papers citing papers by Mounir Ben Ayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mounir Ben Ayed. 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 Mounir Ben Ayed. The network helps show where Mounir Ben Ayed may publish in the future.

Co-authorship network of co-authors of Mounir Ben Ayed

This figure shows the co-authorship network connecting the top 25 collaborators of Mounir Ben Ayed. A scholar is included among the top collaborators of Mounir Ben Ayed 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 Mounir Ben Ayed. Mounir Ben Ayed 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
1.
Fourati, Rahma, et al.. (2024). A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification. Applied Soft Computing. 164. 111978–111978. 10 indexed citations
2.
Chennen, Kirsley, et al.. (2024). Graph-based machine learning model for weight prediction in protein–protein networks. BMC Bioinformatics. 25(1). 349–349. 1 indexed citations
3.
Fourati, Rahma, et al.. (2024). A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing. 608. 128378–128378. 3 indexed citations
4.
Fourati, Rahma, et al.. (2024). Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey. Cognitive Computation. 16(6). 2931–2952. 11 indexed citations
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Fourati, Rahma, et al.. (2023). Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis. Biomedical Signal Processing and Control. 87. 105359–105359. 24 indexed citations
8.
Ammar, Boudour, et al.. (2023). Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification. Cognitive Computation. 16(3). 1334–1344. 8 indexed citations
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Ouarda, Wael, et al.. (2023). DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals. Biomedical Signal Processing and Control. 85. 104954–104954. 33 indexed citations
11.
Hagras, Hani, et al.. (2021). Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval. IEEE Transactions on Fuzzy Systems. 30(3). 805–817. 17 indexed citations
12.
Ayed, Mounir Ben, et al.. (2021). A Multi-Agent system for road traffic decision making based on Hierarchical Interval Type-2 Fuzzy Knowledge Representation System. Acceda (Universidad de Las Palmas de Gran Canaria). 1–6. 3 indexed citations
13.
Ayed, Mounir Ben, et al.. (2020). Deep learning for internet of things in fog computing: Survey and Open Issues. 1–6. 9 indexed citations
14.
Medina, Javier, et al.. (2020). PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance. IEEE Transactions on Intelligent Transportation Systems. 23(2). 804–818. 30 indexed citations
15.
Ltifi, Hela, et al.. (2020). Intelligent health monitoring system modeling based on machine learning and agent technology. Multiagent and Grid Systems. 16(2). 207–226. 9 indexed citations
16.
Boubaker, Houcine, et al.. (2018). An Online Writer Identification System based on Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes.. arXiv (Cornell University). 8 indexed citations
17.
Kechaou, Zied, et al.. (2017). Enhanced Decision Support Systems in Intensive Care Unit Based on Intuitionistic Fuzzy Sets. Advances in Fuzzy Systems. 2017. 1–8. 7 indexed citations
18.
Ayed, Mounir Ben, et al.. (2014). Towards a dynamic knowledge base based on ontology for clinical decision support system. 290–293. 3 indexed citations
19.
Ltifi, Hela, Mounir Ben Ayed, Adel M. Alimi, & Sophie Lepreux. (2009). Survey of information visualization techniques for exploitation in KDD. 218–225. 20 indexed citations
20.
Ayed, Mounir Ben, et al.. (1999). La pathologie iatrogène en réanimation: étude prospective. Réanimation Urgences. 8(4). 319–326. 1 indexed citations

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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