David A. Rolls
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Epidemiology top 10%
- HIV, Drug Use, Sexual Risk
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
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- HIV, Drug Use, Sexual Risk 5
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- Complex Systems and Time Series Analysis 3
- Healthcare Policy and Management 2
- Co-authors
- Garry Robins (11 shared papers)Margaret Hellard (7 shared papers)Rachel Sacks‐Davis (6 shared papers)Philippa Pattison (8 shared papers)Emma S. McBryde (7 shared papers)Campbell Aitken (4 shared papers)Peter Higgs (4 shared papers)Rebecca Jenkinson (4 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)Social Networks (2 papers)Journal of Hepatology (1 paper)Computer Networks (1 paper)
- Partner nations
- AustraliaUnited KingdomSweden
In The Last Decade
David A. Rolls
22 papers receiving 496 citations
Peers
Comparison fields: 5 of 78
- Hepatology 249
- Epidemiology 212
- Modeling and Simulation 29
- Statistical and Nonlinear Physics 54
- Virology 15
Countries citing papers authored by David A. Rolls
This map shows the geographic impact of David A. Rolls'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 David A. Rolls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Rolls more than expected).
Fields of papers citing papers by David A. Rolls
This network shows the impact of papers produced by David A. Rolls. 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 David A. Rolls. The network helps show where David A. Rolls may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Rolls, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 105 | |
| 2 | 2012 | 76 | |
| 3 | 2013 | 56 | |
| 4 | 2015 | 54 | |
| 5 | 2011 | 47 | |
| 6 | 2016 | 37 | |
| 7 | 2013 | 30 | |
| 8 | 2005 | 22 | |
| 9 | 2019 | 18 | |
| 10 | 2015 | 15 | |
| 11 | 2019 | 7 | |
| 12 | 1993 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2011 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2023 | 2 |
About David A. Rolls
David A. Rolls is a scholar working on Epidemiology, Economics and Econometrics, Hepatology, Statistical and Nonlinear Physics and Finance, having authored 23 papers that have together received 510 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Financial Risk and Volatility Modeling (4 papers), Complex Network Analysis Techniques (4 papers), Stochastic processes and financial applications (3 papers), Hospital Admissions and Outcomes (3 papers), Complex Systems and Time Series Analysis (3 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Hepatology (249 citations), Epidemiology (212 citations), Modeling and Simulation (29 citations), Statistical and Nonlinear Physics (54 citations) and Virology (15 citations). David A. Rolls has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Garry Robins, Margaret Hellard, Rachel Sacks‐Davis, Philippa Pattison, Emma S. McBryde, Campbell Aitken, Peter Higgs, Rebecca Jenkinson, Galina Daraganova and Peng Wang. Their work appears in journals such as PLoS ONE, Scientific Reports, Social Networks, Journal of Hepatology and Computer Networks.
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.