Arif Khan

66 papers and 1.5k indexed citations i.

About

Arif Khan is a scholar working on Epidemiology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Arif Khan has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Arif Khan’s work include Chronic Disease Management Strategies (9 papers), Machine Learning in Healthcare (7 papers) and Graph Theory and Algorithms (7 papers). Arif Khan is often cited by papers focused on Chronic Disease Management Strategies (9 papers), Machine Learning in Healthcare (7 papers) and Graph Theory and Algorithms (7 papers). Arif Khan collaborates with scholars based in Australia, United Kingdom and United States. Arif Khan's co-authors include Shahadat Uddin, Nahin Hussain, Mahantesh Halappanavar, Mohammad Ali Moni and Alex Pothen and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Arif Khan

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

Countries citing papers authored by Arif Khan

Since Specialization
Citations

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

Rankless by CCL
2025