Hind Kabaili

About

Hind Kabaili is a scholar working on Artificial Intelligence, Education and Information Systems. According to data from OpenAlex, Hind Kabaili has authored 3 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Education and 1 paper in Information Systems. Recurrent topics in Hind Kabaili’s work include Software Reliability and Analysis Research (1 paper), Advanced Software Engineering Methodologies (1 paper) and Employer Branding and e-HRM (1 paper). Hind Kabaili is often cited by papers focused on Software Reliability and Analysis Research (1 paper), Advanced Software Engineering Methodologies (1 paper) and Employer Branding and e-HRM (1 paper). Hind Kabaili collaborates with scholars based in Morocco and Canada. Hind Kabaili's co-authors include A. Rochdi, Rudolf K. Keller, D. Goujdami, Mohamed Lachgar and F. Lustman and has published in prestigious journals such as Science of Computer Programming.

In The Last Decade

Fields of papers citing papers by Hind Kabaili

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 Hind Kabaili. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hind Kabaili may publish in the future.

Countries citing papers authored by Hind Kabaili

Since Specialization

Citations

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

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