John F. Bithell

1.8k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 6

Impact in

Papers in

John F. Bithell

10 papers receiving 1.4k citations

Hit Papers

Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians 2000 · 1.3k citations
1.3k20002026200820174008001.2k

Peers

John F. Bithell
Comparison fields: 5 of 189
  • Statistics and Probability 193
  • Statistics, Probability and Uncertainty 60
  • Pediatrics, Perinatology and Child Health 107
  • Radiology, Nuclear Medicine and Imaging 122
  • Emergency Medicine 45
Replace George Berry with:
George Berry United States
James S. Hodges United States
Melissa Azur United States
Bernd Röhrig Germany
Burt Holland United States
David E. Matthews United States
Liz Cheek United Kingdom
Stephen C. Shiboski United States
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Countries citing papers authored by John F. Bithell

Since Specialization
Citations

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

Fields of papers citing papers by John F. Bithell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Bithell. 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 John F. Bithell. The network helps show where John F. Bithell may publish in the future.

Co-authors

The 15 scholars most cited alongside John F. Bithell, 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 John F. Bithell Line = papers co-authored together John F. Bithell links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians
Hit paper breakdown →
20001296
2 200527
3 202126
4 200817
5 201315
6 20189
7 20185
8 19824
9 20021
10 19921
11
Childhood cancer and intrauterine irradiation
19970

About John F. Bithell

John F. Bithell is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Statistics and Probability, Oncology and Pathology and Forensic Medicine, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Renal and related cancers (2 papers), Cancer Risks and Factors (2 papers), Statistical Methods in Clinical Trials (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Hepatitis B Virus Studies (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (193 citations), Statistics, Probability and Uncertainty (60 citations), Pediatrics, Perinatology and Child Health (107 citations), Radiology, Nuclear Medicine and Imaging (122 citations) and Emergency Medicine (45 citations). John F. Bithell has collaborated with scholars based in United Kingdom and Qatar. Frequent co-authors include James R. Carpenter, Richard McNally, Richard Wakeford, Freda E. Alexander, Michael Murphy, Tim Vincent, G M Kendall, Charles Stiller, G J Draper and Kathryn Bunch. Their work appears in journals such as British Journal of Cancer, International Journal of Cancer, Statistics in Medicine, Journal of Radiological Protection and Maturitas.

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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