Biometrics

8.8k papers and 804.4k indexed citations i.

About

The 8.8k papers published in Biometrics in the last decades have received a total of 804.4k indexed citations. Papers published in Biometrics usually cover Statistics and Probability (4.5k papers), Artificial Intelligence (1.1k papers) and Management Science and Operations Research (964 papers) specifically the topics of Statistical Methods and Bayesian Inference (2.2k papers), Statistical Methods and Inference (2.2k papers) and Statistical Methods in Clinical Trials (1.6k papers). The most active scholars publishing in Biometrics are Gary G. Koch, J. Richard Landis, David B. Duncan, A. W. F. Edwards, D. S. Falconer, Colin B. Begg, William G. Cochran, Liang‐In Lin, Elizabeth R. DeLong and David M. DeLong.

In The Last Decade

Fields of papers published in Biometrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Biometrics. 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 Biometrics.

Countries where authors publish in Biometrics

Since Specialization
Citations

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