Rema Padman

136 papers and 2.5k indexed citations
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About

Rema Padman is a scholar working on Artificial Intelligence, Management Science and Operations Research and Health Information Management. According to data from OpenAlex, Rema Padman has authored 136 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 28 papers in Management Science and Operations Research and 27 papers in Health Information Management. Recurrent topics in Rema Padman’s work include Electronic Health Records Systems (18 papers), Machine Learning in Healthcare (15 papers) and Resource-Constrained Project Scheduling (12 papers). Rema Padman is often cited by papers focused on Electronic Health Records Systems (18 papers), Machine Learning in Healthcare (15 papers) and Resource-Constrained Project Scheduling (12 papers). Rema Padman collaborates with scholars based in United States, Israel and United Kingdom. Rema Padman's co-authors include Rainer Kolisch, Kai Zheng, Michael P. Johnson, Yiye Zhang, Herbert S. Diamond, Xuan Tan, Min Chen, Daniel Gärtner, Jonathan P. Caulkins 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

This figure shows the co-authorship network connecting the top 25 collaborators of Rema Padman. A scholar is included among the top collaborators of Rema Padman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rema Padman. Rema Padman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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