Rema Padman

129 papers and 2.4k indexed citations i.

About

Rema Padman is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research. According to data from OpenAlex, Rema Padman has authored 129 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 26 papers in Health Information Management and 23 papers in Management Science and Operations Research. Recurrent topics in Rema Padman’s work include Electronic Health Records Systems (17 papers), Machine Learning in Healthcare (14 papers) and Healthcare Operations and Scheduling Optimization (12 papers). Rema Padman is often cited by papers focused on Electronic Health Records Systems (17 papers), Machine Learning in Healthcare (14 papers) and Healthcare Operations and Scheduling Optimization (12 papers). Rema Padman collaborates with scholars based in United States, United Kingdom and Israel. Rema Padman's co-authors include Rainer Kolisch, Michael P. Johnson, Kai Zheng, Yiye Zhang, Herbert S. Diamond, Min Chen, Jonathan P. Caulkins, Daniel Gärtner, Ramayya Krishnan and Rahul Telang and has published in prestigious journals such as Journal of the American Statistical Association, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Rema Padman i

Fields of papers citing papers by Rema Padman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rema Padman

Since Specialization
Citations

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