Tarek Elguebaly

12 papers and 199 indexed citations i.

About

Tarek Elguebaly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Tarek Elguebaly has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Tarek Elguebaly’s work include Bayesian Methods and Mixture Models (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (4 papers). Tarek Elguebaly is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (4 papers). Tarek Elguebaly collaborates with scholars based in Canada. Tarek Elguebaly's co-authors include Nizar Bouguila and has published in prestigious journals such as Expert Systems with Applications, Signal Processing and Image and Vision Computing.

In The Last Decade

Co-authorship network of co-authors of Tarek Elguebaly i

Fields of papers citing papers by Tarek Elguebaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tarek Elguebaly

Since Specialization
Citations

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

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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2025