Majid Afshar

127 papers and 1.7k indexed citations i.

About

Majid Afshar is a scholar working on Epidemiology, Emergency Medicine and Artificial Intelligence. According to data from OpenAlex, Majid Afshar has authored 127 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 28 papers in Emergency Medicine and 26 papers in Artificial Intelligence. Recurrent topics in Majid Afshar’s work include Machine Learning in Healthcare (23 papers), Sepsis Diagnosis and Treatment (19 papers) and Topic Modeling (16 papers). Majid Afshar is often cited by papers focused on Machine Learning in Healthcare (23 papers), Sepsis Diagnosis and Treatment (19 papers) and Topic Modeling (16 papers). Majid Afshar collaborates with scholars based in United States, Iran and Canada. Majid Afshar's co-authors include Matthew M. Churpek, Emily Gilbert, Dmitriy Dligach, Giora Netzer, Elizabeth J. Kovacs, Cara Joyce, Kyle A. Carey, Brihat Sharma, Niranjan S. Karnik and Gordon S. Smith and has published in prestigious journals such as Nature Medicine, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Majid Afshar i

Fields of papers citing papers by Majid Afshar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Majid Afshar. 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 Majid Afshar. The network helps show where Majid Afshar may publish in the future.

Countries citing papers authored by Majid Afshar

Since Specialization
Citations

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