Brian J. Bailey

1.3k citations
47 papers · 1.1k · h-index 15

Impact in

Papers in

Brian J. Bailey

45 papers receiving 929 citations

Peers

Brian J. Bailey
Comparison fields: 5 of 169
  • Statistics and Probability 101
  • Endocrinology, Diabetes and Metabolism 130
  • Pediatrics, Perinatology and Child Health 128
  • Statistics, Probability and Uncertainty 44
  • Physiology 97
Replace Harry J. Khamis with:
Harry J. Khamis United States
Richard D. Remington United States
Wilfred J. Dixon United States
John F. Bithell United Kingdom
Jerome W. Thompson United States
Donald Mainland United States
Young Jack Lee United States
David F. Bauer United States
A. McCluskey United Kingdom
Malka Gorfine Israel
Brian J. Bailey relative to Harry J. Khamis United States Harry J. Khamis's profile →
Citations per field
00.5×2×3.2×
Harry J. Khamis · 1×
Citations per year

Countries citing papers authored by Brian J. Bailey

Since Specialization
Citations

This map shows the geographic impact of Brian J. Bailey'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 Brian J. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Bailey more than expected).

Fields of papers citing papers by Brian J. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Bailey. 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 Brian J. Bailey. The network helps show where Brian J. Bailey may publish in the future.

Co-authors

The 20 scholars most cited alongside Brian J. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian J. Bailey Line = papers co-authored together Brian J. Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977112
2 1990109
3 199196
4 199684
5 198077
6 197765
7 196858
8 199150
9 199442
10 199741
11 198737
12 199534
13 199427
14 199221
15 199416
16 197015
17 199814
18 196714
19 198014
20 198113

About Brian J. Bailey

Brian J. Bailey is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Statistics, Probability and Uncertainty, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Phase Equilibria and Thermodynamics (3 papers), Birth, Development, and Health (3 papers), Sexual Differentiation and Disorders (2 papers), Statistical Methods in Clinical Trials (2 papers), Advanced Statistical Process Monitoring (2 papers), Advanced Statistical Methods and Models (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Statistics and Probability (101 citations), Endocrinology, Diabetes and Metabolism (130 citations), Pediatrics, Perinatology and Child Health (128 citations), Statistics, Probability and Uncertainty (44 citations) and Physiology (97 citations). Brian J. Bailey has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Linda D Voss, P R Betts, Graham L. Briars, Terence J. Wilkin, K. Kellner, J Mulligan, E S McCaughey, Iolo J.M. Doull, Robin L. Plackett and Wei Liu. Their work appears in journals such as Archives of Disease in Childhood, Journal of the Royal Statistical Society Series C (Applied Statistics), Technometrics, Journal of the American Statistical Association and Hormone Research in Paediatrics.

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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