Tarek Kanan

20 papers and 294 indexed citations i.

About

Tarek Kanan is a scholar working on Artificial Intelligence, Information Systems and Biomedical Engineering. According to data from OpenAlex, Tarek Kanan has authored 20 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Biomedical Engineering. Recurrent topics in Tarek Kanan’s work include Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (5 papers) and Advanced Text Analysis Techniques (4 papers). Tarek Kanan is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (5 papers) and Advanced Text Analysis Techniques (4 papers). Tarek Kanan collaborates with scholars based in Jordan, United States and Bahrain. Tarek Kanan's co-authors include Bilal Hawashin, Shadi AlZu’bi, Mohammed Elbes, Ala Al‐Fuqaha, Edward A. Fox, Ayman Mansour, Eyad Almaita, Ismail Hmeidi, Yaser Jararweh and Brij B. Gupta and has published in prestigious journals such as Multimedia Tools and Applications, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of the Association for Information Science and Technology.

In The Last Decade

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

Fields of papers citing papers by Tarek Kanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tarek Kanan

Since Specialization
Citations

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