Rosanna C. Barnard

3.9k total citations
7 papers, 167 citations indexed

About

Rosanna C. Barnard is a scholar working on Modeling and Simulation, Infectious Diseases and Health. According to data from OpenAlex, Rosanna C. Barnard has authored 7 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 2 papers in Infectious Diseases and 2 papers in Health. Recurrent topics in Rosanna C. Barnard's work include COVID-19 epidemiological studies (4 papers), Complex Network Analysis Techniques (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Rosanna C. Barnard is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Complex Network Analysis Techniques (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Rosanna C. Barnard collaborates with scholars based in United Kingdom, France and Denmark. Rosanna C. Barnard's co-authors include Mark Jit, W. John Edmunds, Nicholas G. Davies, Timothy Russell, Christopher I Jarvis, Malcolm G. Semple, Yang Liu, Stefan Flasche, Frank Sandmann and Carl A. B. Pearson and has published in prestigious journals such as The Lancet Infectious Diseases, BMC Infectious Diseases and The Lancet Regional Health - Europe.

In The Last Decade

Rosanna C. Barnard

7 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosanna C. Barnard United Kingdom 6 113 84 41 23 23 7 167
Sylvia K. Ofori United States 7 114 1.0× 56 0.7× 32 0.8× 50 2.2× 23 1.0× 19 207
David Haw United Kingdom 9 117 1.0× 119 1.4× 23 0.6× 39 1.7× 48 2.1× 22 231
Trystan Leng United Kingdom 6 97 0.9× 70 0.8× 13 0.3× 23 1.0× 35 1.5× 9 152
Hengcong Liu China 6 142 1.3× 136 1.6× 33 0.8× 33 1.4× 49 2.1× 11 249
Ahmadou Lamin Samateh Gambia 5 83 0.7× 51 0.6× 19 0.5× 46 2.0× 19 0.8× 9 164
Mustapha Bittaye Gambia 4 80 0.7× 46 0.5× 20 0.5× 45 2.0× 18 0.8× 6 144
Glen Guyver‐Fletcher United Kingdom 4 117 1.0× 59 0.7× 21 0.5× 32 1.4× 28 1.2× 7 141
Alex Holmes United Kingdom 6 134 1.2× 80 1.0× 21 0.5× 32 1.4× 43 1.9× 9 179
Stephanie Djajadi United States 3 130 1.2× 141 1.7× 19 0.5× 33 1.4× 40 1.7× 3 246
Michel Yao Switzerland 5 92 0.8× 105 1.3× 35 0.9× 26 1.1× 13 0.6× 18 173

Countries citing papers authored by Rosanna C. Barnard

Since Specialization
Citations

This map shows the geographic impact of Rosanna C. Barnard'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 Rosanna C. Barnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosanna C. Barnard more than expected).

Fields of papers citing papers by Rosanna C. Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosanna C. Barnard. 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 Rosanna C. Barnard. The network helps show where Rosanna C. Barnard may publish in the future.

Co-authorship network of co-authors of Rosanna C. Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of Rosanna C. Barnard. A scholar is included among the top collaborators of Rosanna C. Barnard 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 Rosanna C. Barnard. Rosanna C. Barnard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Roselló, Alicia, Rosanna C. Barnard, David R. Smith, et al.. (2022). Impact of non-pharmaceutical interventions on SARS-CoV-2 outbreaks in English care homes: a modelling study. BMC Infectious Diseases. 22(1). 324–324. 14 indexed citations
2.
Liu, Yang, Carl A. B. Pearson, Frank Sandmann, et al.. (2022). Dosing interval strategies for two-dose COVID-19 vaccination in 13 middle-income countries of Europe: Health impact modelling and benefit-risk analysis. The Lancet Regional Health - Europe. 17. 100381–100381. 18 indexed citations
3.
Liu, Yang, Frank Sandmann, Rosanna C. Barnard, et al.. (2021). Optimising health and economic impacts of COVID-19 vaccine prioritisation strategies in the WHO European Region: a mathematical modelling study. The Lancet Regional Health - Europe. 12. 100267–100267. 29 indexed citations
4.
Abbott, Sam, Rosanna C. Barnard, Christopher I Jarvis, et al.. (2021). On a comprehensive model of the novel coronavirus (COVID-19) under Mittag-Leffler derivative. 3 indexed citations
5.
Davies, Nicholas G., Rosanna C. Barnard, Christopher I Jarvis, et al.. (2020). Association of tiered restrictions and a second lockdown with COVID-19 deaths and hospital admissions in England: a modelling study. The Lancet Infectious Diseases. 21(4). 482–492. 85 indexed citations
6.
Barnard, Rosanna C.. (2019). Epidemic threshold in pairwise models for clustered networks: closures and fast correlations. Sussex Research Online (University of Sussex). 8 indexed citations
7.
Barnard, Rosanna C.. (2018). Edge-based compartmental modelling of an SIR epidemic on a dual-layer static-dynamic multiplex network with tunable clustering. Sussex Research Online (University of Sussex). 10 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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