Rimma Perotte

19 papers and 618 indexed citations i.

About

Rimma Perotte is a scholar working on Artificial Intelligence, Molecular Biology and Emergency Medicine. According to data from OpenAlex, Rimma Perotte has authored 19 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Emergency Medicine. Recurrent topics in Rimma Perotte’s work include Machine Learning in Healthcare (5 papers), Emergency and Acute Care Studies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Rimma Perotte is often cited by papers focused on Machine Learning in Healthcare (5 papers), Emergency and Acute Care Studies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Rimma Perotte collaborates with scholars based in United States and United Kingdom. Rimma Perotte's co-authors include Noémie Elhadad, Rimma Pivovarov, George Hripcsak, Frank Wood, David J. Albers, Ehren L. Newman, Kenneth A. Norman, Karthik Natarajan, Nicole G. Weiskopf and David K. Vawdrey and has published in prestigious journals such as American Journal of Kidney Diseases, Neural Networks and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Rimma Perotte i

Fields of papers citing papers by Rimma Perotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rimma Perotte

Since Specialization
Citations

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