Rachel MacKay Altman

21 papers and 423 indexed citations i.

About

Rachel MacKay Altman is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Rachel MacKay Altman has authored 21 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 4 papers in Epidemiology. Recurrent topics in Rachel MacKay Altman’s work include Bayesian Methods and Mixture Models (4 papers), Demographic Trends and Gender Preferences (3 papers) and Multiple Sclerosis Research Studies (3 papers). Rachel MacKay Altman is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Demographic Trends and Gender Preferences (3 papers) and Multiple Sclerosis Research Studies (3 papers). Rachel MacKay Altman collaborates with scholars based in Canada, United States and United Kingdom. Rachel MacKay Altman's co-authors include Jens Timmer, Stefan Reinker, A. John Petkau, Pablo A. Nepomnaschy, Cindy K. Barha, Courtney W. Hanna, Samantha L. Wilson, Wendy P. Robinson, Katrina G. Salvante and Barry G. England and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Rachel MacKay Altman i

Fields of papers citing papers by Rachel MacKay Altman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel MacKay Altman. 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 Rachel MacKay Altman. The network helps show where Rachel MacKay Altman may publish in the future.

Countries citing papers authored by Rachel MacKay Altman

Since Specialization
Citations

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