Khairil Imran Ghauth

11 papers and 169 indexed citations i.

About

Khairil Imran Ghauth is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Khairil Imran Ghauth has authored 11 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in Khairil Imran Ghauth’s work include Recommender Systems and Techniques (7 papers), Online Learning and Analytics (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Khairil Imran Ghauth is often cited by papers focused on Recommender Systems and Techniques (7 papers), Online Learning and Analytics (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Khairil Imran Ghauth collaborates with scholars based in Malaysia and Pakistan. Khairil Imran Ghauth's co-authors include Nor Aniza Abdullah, Choo‐Yee Ting, C. Eswaran and Yuen Peng Loh and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Educational Technology Research and Development.

In The Last Decade

Co-authorship network of co-authors of Khairil Imran Ghauth i

Fields of papers citing papers by Khairil Imran Ghauth

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

Countries citing papers authored by Khairil Imran Ghauth

Since Specialization
Citations

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

Rankless by CCL
2025