Robert Moss
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Respiratory viral infections research
Papers in
- Epidemiology 22
- Influenza Virus Research Studies 20
- Data-Driven Disease Surveillance 10
- Respiratory viral infections research 3
-
- COVID-19 epidemiological studies 19
- Co-authors
- James M. McCaw (18 shared papers)Jodie McVernon (11 shared papers)Alexander E. Zarebski (6 shared papers)Peter Dawson (5 shared papers)Sophie Thomas (4 shared papers)Joshua V. Ross (2 shared papers)Freya M. Shearer (5 shared papers)Nicholas Geard (4 shared papers)
- Journals
- Influenza and Other Respiratory Viruses (3 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)American Journal of Physiology-Renal Physiology (2 papers)Epidemics (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Robert Moss
35 papers receiving 577 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 227
- Epidemiology 242
- Health 56
- Infectious Diseases 98
- Nephrology 32
Countries citing papers authored by Robert Moss
This map shows the geographic impact of Robert Moss'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 Robert Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Moss more than expected).
Fields of papers citing papers by Robert Moss
This network shows the impact of papers produced by Robert Moss. 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 Robert Moss. The network helps show where Robert Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Moss, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2019 | 50 | |
| 3 | 2020 | 48 | |
| 4 | 2015 | 46 | |
| 5 | 2020 | 29 | |
| 6 | 2016 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2012 | 25 | |
| 9 | 2011 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2011 | 20 | |
| 12 | 2012 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2013 | 20 | |
| 15 | 2019 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2016 | 12 |
About Robert Moss
Robert Moss is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Molecular Biology and Nephrology, having authored 35 papers that have together received 597 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), COVID-19 epidemiological studies (19 papers), Data-Driven Disease Surveillance (10 papers), Viral Infections and Outbreaks Research (7 papers), Vaccine Coverage and Hesitancy (3 papers), Renal function and acid-base balance (3 papers), Respiratory viral infections research (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Modeling and Simulation (227 citations), Epidemiology (242 citations), Health (56 citations), Infectious Diseases (98 citations) and Nephrology (32 citations). Robert Moss has collaborated with scholars based in Australia, United States and France. Frequent co-authors include James M. McCaw, Jodie McVernon, Alexander E. Zarebski, Peter Dawson, Sophie Thomas, Joshua V. Ross, Freya M. Shearer, Nicholas Geard, Anita T. Layton and Daniel M. Goldenholz. Their work appears in journals such as Influenza and Other Respiratory Viruses, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, American Journal of Physiology-Renal Physiology, Epidemics and PLoS Computational Biology.
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.