Marie Davidian

122 papers and 20.5k indexed citations i.

About

Marie Davidian is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Marie Davidian has authored 122 papers receiving a total of 20.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Marie Davidian’s work include Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods in Clinical Trials (36 papers). Marie Davidian is often cited by papers focused on Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods in Clinical Trials (36 papers). Marie Davidian collaborates with scholars based in United States, Belgium and United Kingdom. Marie Davidian's co-authors include David M. Giltinan, Jared Lunceford, Anastasios A. Tsiatis, Raymond J. Carroll, David A. Young, Eric B. Laber, Neil H. Timm, Daowen Zhang, A. Ronald Gallant and Michele Jönsson Funk and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Marie Davidian i

Fields of papers citing papers by Marie Davidian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marie Davidian

Since Specialization
Citations

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