Centre for Big Data Research in Health
Impact in
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- Ovarian function and disorders
- Reproductive Health and Technologies
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- Pharmaceutical Practices and Patient Outcomes
Papers in
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- Ovarian function and disorders 30
- Reproductive Health and Technologies 25
- Top scholars
- Sallie‐Anne PearsonLouisa R. JormAndrea L. SchafferGeorgina Mary ChambersTimothy DobbinsNicholas Allan BuckleyChristos A. VenetisHelga Zoëga
- Journals
- Human Reproduction (31 papers)BMJ Open (30 papers)The Medical Journal of Australia (27 papers)PLoS ONE (24 papers)Pharmacoepidemiology and Drug Safety (18 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Centre for Big Data Research in Health
543 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 205
- Reproductive Medicine 1.0k
- Geriatrics and Gerontology 407
- Obstetrics and Gynecology 565
- Public Health, Environmental and Occupational Health 2.2k
- Pediatrics, Perinatology and Child Health 1.3k
Countries citing scholars working at Centre for Big Data Research in Health
This map shows the geographic impact of research produced by authors working at Centre for Big Data Research in Health. 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 produced at Centre for Big Data Research in Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centre for Big Data Research in Health more than expected).
Fields of papers published by authors at Centre for Big Data Research in Health
This network shows the impact of papers affiliated with Centre for Big Data Research in Health at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Centre for Big Data Research in Health at the time of their publication.
About Centre for Big Data Research in Health
In recent decades, authors affiliated with Centre for Big Data Research in Health have published 796 papers, which have received a total of 14.8k indexed citations . Scholars at this organization have produced 58 papers in Reproductive Medicine, 9 papers in Family Practice, 16 papers in Geriatrics and Gerontology, 29 papers in Obstetrics and Gynecology and 108 papers in Public Health, Environmental and Occupational Health on the topics of Opioid Use Disorder Treatment (32 papers), Ovarian function and disorders (30 papers), Assisted Reproductive Technology and Twin Pregnancy (29 papers), Reproductive Health and Technologies (25 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers), Reproductive Biology and Fertility (16 papers), Primary Care and Health Outcomes (14 papers) and Healthcare cost, quality, practices (14 papers). Their work is cited by papers focused on Reproductive Medicine (1.0k citations), Geriatrics and Gerontology (407 citations), Obstetrics and Gynecology (565 citations), Public Health, Environmental and Occupational Health (2.2k citations) and Pediatrics, Perinatology and Child Health (1.3k citations). Authors at Centre for Big Data Research in Health collaborate with scholars in Australia, United States and United Kingdom and have published in prestigious journals including Human Reproduction, BMJ Open, The Medical Journal of Australia, PLoS ONE and Pharmacoepidemiology and Drug Safety. Some of Centre for Big Data Research in Health's most productive authors include Sallie‐Anne Pearson, Louisa R. Jorm, Andrea L. Schaffer, Georgina Mary Chambers, Timothy Dobbins, Nicholas Allan Buckley, Christos A. Venetis, Helga Zoëga, Benjamin J. Daniels and Alys Havard.
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.