Mohamed Farah

615 total citations
29 papers, 408 citations indexed

About

Mohamed Farah is a scholar working on Media Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Farah has authored 29 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Media Technology, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Farah's work include Remote-Sensing Image Classification (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Geographic Information Systems Studies (6 papers). Mohamed Farah is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Geographic Information Systems Studies (6 papers). Mohamed Farah collaborates with scholars based in Tunisia, France and Canada. Mohamed Farah's co-authors include Imed Riadh Farah, Akrem Sellami, Daniel Vanderpooten, Basel Solaiman, Mauro Dalla Mura, Gregory Dussor, Theodore J. Price, Vivek Jeevakumar, Hani Faidah and Scott Klarenbach and has published in prestigious journals such as Journal of Neurophysiology, Expert Systems with Applications and Frontiers in Microbiology.

In The Last Decade

Mohamed Farah

27 papers receiving 393 citations

Peers

Mohamed Farah
Fang Du China
Linmi Tao China
Yufei Yang China
Baofeng Guo United Kingdom
Manoj Kumar Singh India
Xiangming Jiang China
Karim Saheb Ettabaâ Tunisia
Anyong Qin China
Emmanuel Arzuaga Puerto Rico
Fang Du China
Mohamed Farah
Citations per year, relative to Mohamed Farah Mohamed Farah (= 1×) peers Fang Du

Countries citing papers authored by Mohamed Farah

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Farah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Farah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Farah. A scholar is included among the top collaborators of Mohamed Farah 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 Mohamed Farah. Mohamed Farah 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
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Farah, Mohamed, et al.. (2024). An interpretable approach based on possibilistic hypothetical case-based reasoning for fault diagnosis. International Journal of Data Science and Analytics. 20(4). 3409–3438.
3.
Farah, Mohamed, et al.. (2024). GAZADeepDav: A High Resolution Geotagged Satellite Imagery Dataset For Analyzing War-Induced Damage. 8876–8879. 2 indexed citations
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Sellami, Akrem, Mohamed Farah, & Mauro Dalla Mura. (2022). SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification. Pattern Recognition Letters. 165. 98–106. 19 indexed citations
6.
Quinn, Robert R., Mohamed Farah, Robert P. Pauly, et al.. (2021). Starting Dialysis on Time, At Home on the Right Therapy (START): Description of an Intervention to Increase the Safe and Effective Use of Peritoneal Dialysis. Canadian Journal of Kidney Health and Disease. 8. 1014958964–1014958964. 7 indexed citations
7.
Jeevakumar, Vivek, et al.. (2020). IL-6 induced upregulation of T-type Ca2+ currents and sensitization of DRG nociceptors is attenuated by MNK inhibition. Journal of Neurophysiology. 124(1). 274–283. 26 indexed citations
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Farah, Mohamed, et al.. (2019). A non-stationary NDVI time series modelling using triplet Markov chain. International Journal of Information and Decision Sciences. 11(2). 163–163. 5 indexed citations
10.
Sellami, Akrem, Mohamed Farah, Imed Riadh Farah, & Basel Solaiman. (2019). Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. Expert Systems with Applications. 129. 246–259. 109 indexed citations
11.
Sellami, Akrem, Mohamed Farah, Imed Riadh Farah, & Basel Solaiman. (2018). Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(4). 1337–1347. 23 indexed citations
12.
Farah, Mohamed, et al.. (2018). Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG. Canadian Journal of Remote Sensing. 44(6). 551–574. 4 indexed citations
13.
Farah, Mohamed, et al.. (2018). Towards a hybrid approach for remote sensing ontology construction. 1–5. 3 indexed citations
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Farah, Mohamed, et al.. (2016). Graph of visual words for semantic annotation of remote sensing images. 606–612. 3 indexed citations
16.
Farah, Mohamed, et al.. (2016). A similarity-based framework for the alignment of an ontology for remote sensing. Computers & Geosciences. 96. 202–207. 3 indexed citations
17.
Faidah, Hani, et al.. (2015). Aspergillus terreus Meningitis in Immunocompetent Patient: A Case Report. Frontiers in Microbiology. 6. 1353–1353. 15 indexed citations
18.
Farah, Mohamed & Daniel Vanderpooten. (2008). An outranking approach for information retrieval. Information Retrieval. 11(4). 315–334. 6 indexed citations
19.
Farah, Mohamed & Daniel Vanderpooten. (2007). An outranking approach for rank aggregation in information retrieval. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 591–598. 67 indexed citations
20.
Farah, Mohamed & Daniel Vanderpooten. (2005). A multicriteria paradigm of relevance for the Web Information Retrieval problem. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 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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