Laila Rasmy

16 papers and 559 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 16 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 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 Morocco. Laila Rasmy's co-authors include Degui Zhi, Ziqian Xie, Cui Tao, Yang Xiang, Hua Xu, W. Jim Zheng, Yujia Zhou, Yonghui Wu, Hulin Wu and Xin Geng and has published in prestigious journals such as Nature Communications, Remote Sensing and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Laila Rasmy i

Fields of papers citing papers by Laila Rasmy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laila Rasmy. 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 Laila Rasmy. 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 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025