Hind Kabaili

3 papers and 137 indexed citations i.

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 137 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 Online and Blended Learning (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 Online and Blended Learning (1 paper). Hind Kabaili collaborates with scholars based in Morocco and Canada. Hind Kabaili's co-authors include Mohamed Lachgar, D. Goujdami, A. Rochdi, Larbi El Firdoussi, F. Lustman and Rudolf K. Keller and has published in prestigious journals such as Science of Computer Programming, Education Research International and Technium Social Sciences Journal.

In The Last Decade

Co-authorship network of co-authors of Hind Kabaili i

Fields of papers citing papers by Hind Kabaili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hind Kabaili. 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 Hind Kabaili. 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).

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