Prem Timsina

24 papers and 675 indexed citations i.

About

Prem Timsina is a scholar working on Artificial Intelligence, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Prem Timsina has authored 24 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Epidemiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Prem Timsina’s work include Machine Learning in Healthcare (7 papers), Emergency and Acute Care Studies (4 papers) and Nutrition and Health in Aging (3 papers). Prem Timsina is often cited by papers focused on Machine Learning in Healthcare (7 papers), Emergency and Acute Care Studies (4 papers) and Nutrition and Health in Aging (3 papers). Prem Timsina collaborates with scholars based in United States, Israel and Egypt. Prem Timsina's co-authors include Omar El-Gayar, Nevine Nawar, Wael Eid, Arash Kia, Robert Freeman, David L. Reich, Matthew A. Levin, Himanshu Joshi, Madhu Mazumdar and Roopa Kohli‐Seth and has published in prestigious journals such as Scientific Reports, Critical Care Medicine and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Co-authorship network of co-authors of Prem Timsina i

Fields of papers citing papers by Prem Timsina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prem Timsina

Since Specialization
Citations

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

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2025