Kais Dukes

7 papers and 107 indexed citations i.

About

Kais Dukes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kais Dukes has authored 7 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Kais Dukes’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Semantic Web and Ontologies (2 papers). Kais Dukes is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Semantic Web and Ontologies (2 papers). Kais Dukes collaborates with scholars based in United Kingdom and United States. Kais Dukes's co-authors include Eric Atwell, Nizar Habash and Wajdi Zaghouani and has published in prestigious journals such as Language Resources and Evaluation.

In The Last Decade

Fields of papers citing papers by Kais Dukes

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kais Dukes. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kais Dukes may publish in the future.

Countries citing papers authored by Kais Dukes

Since Specialization
Citations

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

Rankless by CCL
2025