Robert Moss

955 total citations
35 papers, 597 citations indexed

About

Robert Moss is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Robert Moss has authored 35 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 19 papers in Modeling and Simulation and 9 papers in Infectious Diseases. Recurrent topics in Robert Moss's work include Influenza Virus Research Studies (20 papers), COVID-19 epidemiological studies (19 papers) and Data-Driven Disease Surveillance (10 papers). Robert Moss is often cited by papers focused on Influenza Virus Research Studies (20 papers), COVID-19 epidemiological studies (19 papers) and Data-Driven Disease Surveillance (10 papers). Robert Moss collaborates with scholars based in Australia, France and United States. Robert Moss's 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 M. Brandon Westover and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Robert Moss

35 papers receiving 577 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Moss Australia 17 242 227 98 56 56 35 597
Inga Holmdahl United States 10 119 0.5× 260 1.1× 130 1.3× 29 0.5× 64 1.1× 13 566
Christina M. Astley United States 14 165 0.7× 256 1.1× 213 2.2× 129 2.3× 86 1.5× 22 991
Jane C. Chan Hong Kong 9 124 0.5× 98 0.4× 212 2.2× 42 0.8× 37 0.7× 10 697
Cecilia Acuti Martellucci Italy 17 120 0.5× 111 0.5× 384 3.9× 109 1.9× 24 0.4× 50 801
Martí Català Spain 14 76 0.3× 111 0.5× 261 2.7× 50 0.9× 37 0.7× 47 481
Xue Feng China 16 163 0.7× 33 0.1× 128 1.3× 38 0.7× 78 1.4× 51 608
Shuxian Zhang China 13 96 0.4× 286 1.3× 191 1.9× 31 0.6× 147 2.6× 45 770
Katherine Simbaña‐Rivera Ecuador 12 56 0.2× 86 0.4× 251 2.6× 47 0.8× 34 0.6× 43 707
Ye Wu China 11 110 0.5× 326 1.4× 234 2.4× 21 0.4× 111 2.0× 28 666
Matthew Tudball United Kingdom 4 74 0.3× 57 0.3× 207 2.1× 43 0.8× 40 0.7× 5 539

Countries citing papers authored by Robert Moss

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Moss

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Moss. A scholar is included among the top collaborators of Robert Moss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Moss. Robert Moss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Walker, James R., et al.. (2025). A modular approach to forecasting COVID-19 hospital bed occupancy. Communications Medicine. 5(1). 349–349. 1 indexed citations
2.
Moss, Robert, David J. Price, Nick Golding, et al.. (2023). Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020. Scientific Reports. 13(1). 8763–8763. 4 indexed citations
3.
Moss, Robert. (2021). Commentary on “Transparent modeling of influenza incidence”: Because the model said so. International Journal of Forecasting. 38(2). 620–621. 1 indexed citations
4.
Goldenholz, Daniel M., et al.. (2020). Development and Validation of Forecasting Next Reported Seizure Using e‐Diaries. Annals of Neurology. 88(3). 588–595. 48 indexed citations
5.
Degeling, Chris, Jane Williams, Stacy M. Carter, et al.. (2020). Priority allocation of pandemic influenza vaccines in Australia – Recommendations of 3 community juries. Vaccine. 39(2). 255–262. 12 indexed citations
6.
Black, Andrew J., Deborah Cromer, Jennifer A. Flegg, et al.. (2020). Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges. Epidemics. 32. 100393–100393. 29 indexed citations
7.
Shearer, Freya M., Robert Moss, Jodie McVernon, Joshua V. Ross, & James M. McCaw. (2020). Infectious disease pandemic planning and response: Incorporating decision analysis. PLoS Medicine. 17(1). e1003018–e1003018. 55 indexed citations
8.
Moss, Robert, James K. Collins, Anja Mizdrak, et al.. (2020). Proportional multistate lifetable modelling of preventive interventions: concepts, code and worked examples. International Journal of Epidemiology. 49(5). 1624–1636. 25 indexed citations
9.
Moss, Robert, et al.. (2019). What can urban mobility data reveal about the spatial distribution of infection in a single city?. BMC Public Health. 19(1). 656–656. 18 indexed citations
10.
Geard, Nicholas, James Fielding, Sabine Braat, et al.. (2019). Optimal timing of influenza vaccine during pregnancy: A systematic review and meta‐analysis. Influenza and Other Respiratory Viruses. 13(5). 438–452. 50 indexed citations
11.
Moss, Robert, James Fielding, Lucinda Franklin, et al.. (2017). Epidemic forecasts as a tool for public health: interpretation and (re)calibration. Australian and New Zealand Journal of Public Health. 42(1). 69–76. 16 indexed citations
12.
Zarebski, Alexander E., Peter Dawson, James M. McCaw, & Robert Moss. (2017). Model selection for seasonal influenza forecasting. Infectious Disease Modelling. 2(1). 56–70. 12 indexed citations
13.
Moss, Robert, Roslyn I. Hickson, Jodie McVernon, et al.. (2016). Model-Informed Risk Assessment and Decision Making for an Emerging Infectious Disease in the Asia-Pacific Region. PLoS neglected tropical diseases. 10(9). e0005018–e0005018. 6 indexed citations
14.
Moss, Robert, James M. McCaw, Allen Cheng, Aeron C. Hurt, & Jodie McVernon. (2016). Reducing disease burden in an influenza pandemic by targeted delivery of neuraminidase inhibitors: mathematical models in the Australian context. BMC Infectious Diseases. 16(1). 552–552. 12 indexed citations
15.
Cao, Pengxing, Ada W. C. Yan, Jane M. Heffernan, et al.. (2015). Innate Immunity and the Inter-exposure Interval Determine the Dynamics of Secondary Influenza Virus Infection and Explain Observed Viral Hierarchies. PLoS Computational Biology. 11(8). e1004334–e1004334. 46 indexed citations
16.
Dafilis, Mathew P., Robert Moss, Jodie McVernon, & James M. McCaw. (2012). Drivers and consequences of influenza antiviral resistant-strain emergence in a capacity-constrained pandemic response. Epidemics. 4(4). 219–226. 3 indexed citations
17.
Moss, Robert, et al.. (2012). Virtual Patients and Sensitivity Analysis of the Guyton Model of Blood Pressure Regulation: Towards Individualized Models of Whole-Body Physiology. PLoS Computational Biology. 8(6). e1002571–e1002571. 20 indexed citations
18.
Hernández, Alfredo, Virginie Le Rolle, Pierre Baconnier, et al.. (2011). Integration of detailed modules in a core model of body fluid homeostasis and blood pressure regulation. Progress in Biophysics and Molecular Biology. 107(1). 169–182. 22 indexed citations
19.
Moss, Robert, James M. McCaw, & Jodie McVernon. (2011). Diagnosis and Antiviral Intervention Strategies for Mitigating an Influenza Epidemic. PLoS ONE. 6(2). e14505–e14505. 20 indexed citations
20.
Gurvitch, Ronen, Anson Cheung, Jian Ye, et al.. (2010). TRANSCATHETER VALVE IN VALVE IMPLANTATION FOR FAILED BIOPROSTHETIC HEART VALVES. Journal of the American College of Cardiology. 55(10). A147.E1385–A147.E1385. 7 indexed citations

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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