Statistical Methods in Medical Research

2.4k papers and 76.5k indexed citations i.

About

The 2.4k papers published in Statistical Methods in Medical Research in the last decades have received a total of 76.5k indexed citations. Papers published in Statistical Methods in Medical Research usually cover Statistics and Probability (1.7k papers), Economics and Econometrics (384 papers) and Artificial Intelligence (333 papers) specifically the topics of Statistical Methods and Bayesian Inference (885 papers), Statistical Methods and Inference (800 papers) and Statistical Methods in Clinical Trials (753 papers). The most active scholars publishing in Statistical Methods in Medical Research are Douglas G. Altman, John M. Bland, Joseph L. Schafer, Stef van Buuren, Patrick E. Shrout, Martin Bland, Ian R. White, Robert Tibshirani, Shaun R. Seaman and Xiang Wan.

In The Last Decade

Fields of papers published in Statistical Methods in Medical Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistical Methods in Medical Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Statistical Methods in Medical Research.

Countries where authors publish in Statistical Methods in Medical Research

Since Specialization
Citations

This map shows the geographic impact of research published in Statistical Methods in Medical 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 papers published in Statistical Methods in Medical Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistical Methods in Medical Research 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