Laila Rasmy

15 papers and 502 indexed citations i.

About

Laila Rasmy is a scholar working on Artificial Intelligence, Infectious Diseases and Health Information Management. According to data from OpenAlex, Laila Rasmy has authored 15 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Infectious Diseases and 3 papers in Health Information Management. Recurrent topics in Laila Rasmy’s work include Machine Learning in Healthcare (11 papers), Topic Modeling (4 papers) and Artificial Intelligence in Healthcare (3 papers). Laila Rasmy is often cited by papers focused on Machine Learning in Healthcare (11 papers), Topic Modeling (4 papers) and Artificial Intelligence in Healthcare (3 papers). Laila Rasmy collaborates with scholars based in United States, China and United Kingdom. Laila Rasmy's co-authors include Degui Zhi, Hua Xu, Yujia Zhou, Cui Tao and Ziqian Xie and has published in prestigious journals such as Nature Communications, Journal of Medical Internet Research and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Laila Rasmy

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

Countries citing papers authored by Laila Rasmy

Since Specialization
Citations

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

Rankless by CCL
2025