Biometrics

896.9k citations
9k papers · · active since 1951

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods in Clinical Trials
    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
    • Probability and Statistical Research
    • Statistical Methods in Epidemiology
    • Statistical Methods and Applications
  • Genetics top 1%
    • Genetic and phenotypic traits in livestock

Papers in

    • Statistical Methods and Bayesian Inference 1.6k
    • Probability and Statistical Research 1.5k
    • Statistical Methods in Clinical Trials 1.4k
    • Statistical Methods and Inference 1.3k
    • Statistical Methods and Applications 957
    • Statistical Distribution Estimation and Applications 912
    • Statistical Methods in Epidemiology 813
    • Optimal Experimental Design Methods 550

Biometrics

8.7k papers receiving 821.2k citations

Peers

Biometrics
Comparison fields: 5 of 251
  • Statistics and Probability 204.4k
  • Genetics 68k
  • Statistics, Probability and Uncertainty 19.3k
  • Nature and Landscape Conservation 23.2k
  • Ecology 42.3k
Replace Journal of the American Statistical Association with:
Journal of the American Statistical Association United States
Biometrika United States
Technometrics United States
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Scientific Reports China
Bioinformatics United States
PLoS ONE United States
The Annals of Statistics United States
The Lancet United Kingdom
Statistics in Medicine United States
Biometrics relative to Journal of the American Statistical Association United States Journal of the American Statistical Association's profile →
Citations per field
00.5×1.5×2×2.5×
Journal of the American Statistical Association · 1×
Citations per year

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).

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.

About Biometrics

The 9k papers published in Biometrics in the last decades have received a total of 896.9k indexed citations . Papers published in Biometrics usually cover Statistics and Probability (6.6k papers), Management Science and Operations Research (690 papers), Statistics, Probability and Uncertainty (249 papers), Genetics (701 papers) and Applied Mathematics (335 papers) specifically the topics of Statistical Methods and Bayesian Inference (1.6k papers), Probability and Statistical Research (1.5k papers), Statistical Methods in Clinical Trials (1.4k papers), Statistical Methods and Inference (1.3k papers), Statistical Methods and Applications (957 papers), Statistical Distribution Estimation and Applications (912 papers), Statistical Methods in Epidemiology (813 papers) and Optimal Experimental Design Methods (550 papers). The most active scholars publishing in Biometrics are Gary G. Koch, John Richard Landis, David B. Duncan, A. W. F. Edwards, D. S. Falconer, William G. Cochran, Colin B. Begg, Elizabeth R. DeLong, Daniel L. Clarke‐Pearson and David M. DeLong.

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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