Aron Atkins
Impact in
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- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Cardiovascular Issues in Pregnancy
- Cardiovascular Function and Risk Factors
- Cardiovascular Health and Disease Prevention
Papers in
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- Data Analysis with R 2
- Surgery 1
- Hemodynamic Monitoring and Therapy 1
- Co-authors
- J. Selwyn Crawford (2 shared papers)Paul Davies (1 shared paper)Joe Cheng (2 shared papers)Jonathan McPherson (2 shared papers)Hadley Wickham (2 shared papers)JJ Allaire (2 shared papers)Winston Chang (2 shared papers)Yihui Xie (2 shared papers)
- Journals
- Postgraduate Medical Journal (1 paper)European Journal of Obstetrics & Gynecology and Reproductive Biology (1 paper)Obstetric Anesthesia Digest (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Aron Atkins
5 papers receiving 91 citations
Peers
Comparison fields: 5 of 52
- Obstetrics and Gynecology 24
- Cardiology and Cardiovascular Medicine 33
- Ecological Modeling 5
- Nephrology 7
- Pediatrics, Perinatology and Child Health 10
Countries citing papers authored by Aron Atkins
This map shows the geographic impact of Aron Atkins'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 Aron Atkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aron Atkins more than expected).
Fields of papers citing papers by Aron Atkins
This network shows the impact of papers produced by Aron Atkins. 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 Aron Atkins. The network helps show where Aron Atkins may publish in the future.
Co-authors
The 12 scholars most cited alongside Aron Atkins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 72 | |
| 2 | Dynamic Documents for R | 2016 | 9 |
| 3 | Dynamic Documents for R [R package rmarkdown version 2.11] | 2021 | 8 |
| 4 | 1982 | 4 | |
| 5 | 1993 | 3 |
About Aron Atkins
Aron Atkins is a scholar working on Artificial Intelligence, Surgery, Nephrology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 96 indexed citations. Recurring topics across this work include Data Analysis with R (2 papers), Cardiovascular Issues in Pregnancy (1 paper), Scientific Computing and Data Management (1 paper), Renal function and acid-base balance (1 paper), Electrolyte and hormonal disorders (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Birth, Development, and Health (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (24 citations), Cardiology and Cardiovascular Medicine (33 citations), Ecological Modeling (5 citations), Nephrology (7 citations) and Pediatrics, Perinatology and Child Health (10 citations). Aron Atkins has collaborated with scholars based in United Kingdom. Frequent co-authors include J. Selwyn Crawford, Paul Davies, Joe Cheng, Jonathan McPherson, Hadley Wickham, JJ Allaire, Winston Chang, Yihui Xie, Jeff Allen and Rob J. Hyndman. Their work appears in journals such as Postgraduate Medical Journal, European Journal of Obstetrics & Gynecology and Reproductive Biology and Obstetric Anesthesia Digest.
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.