Christopher Rawlinson
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- Adventure Sports and Sensation Seeking 2
- Co-authors
- Stuart S. Martin (1 shared paper)Christopher Wright (1 shared paper)Jamie Lopez Bernal (2 shared papers)Katherine A. Twohig (1 shared paper)Natalie Groves (1 shared paper)André Charlett (2 shared papers)Asad Zaidi (1 shared paper)Dimple Chudasama (1 shared paper)
- Journals
- The Lancet Regional Health - Europe (1 paper)Biostatistics (1 paper)Eurosurveillance (1 paper)Journal of Chromatography A (1 paper)QUT ePrints (Queensland University of Technology) (2 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Christopher Rawlinson
4 papers receiving 195 citations
Christopher Rawlinson's Hit Papers
Peers
Comparison fields: 5 of 53
- Modeling and Simulation 48
- Infectious Diseases 91
- Health 18
- Health, Toxicology and Mutagenesis 27
- Physiology 38
Countries citing papers authored by Christopher Rawlinson
This map shows the geographic impact of Christopher Rawlinson'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 Christopher Rawlinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Rawlinson more than expected).
Fields of papers citing papers by Christopher Rawlinson
This network shows the impact of papers produced by Christopher Rawlinson. 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 Christopher Rawlinson. The network helps show where Christopher Rawlinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Rawlinson, 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 | 2021 | 132 | |
| 2 | 2017 | 51 | |
| 3 | Early influenza virus characterisation and vaccine effectiveness in England in autumn 2025, a period dominated by influenza A(H3N2) subclade K Hit paper breakdown → | 2025 | 19 |
| 4 | Play in the city: Parkour and architecture | 2011 | 3 |
| 5 | 2023 | 0 | |
| 6 | 2019 | 0 |
About Christopher Rawlinson
Christopher Rawlinson is a scholar working on Social Psychology, Infectious Diseases, Health, Toxicology and Mutagenesis, Epidemiology and Statistics and Probability, having authored 6 papers that have together received 205 indexed citations. Recurring topics across this work include Adventure Sports and Sensation Seeking (2 papers), Statistical Methods and Bayesian Inference (1 paper), Advanced Causal Inference Techniques (1 paper), Advanced Chemical Sensor Technologies (1 paper), Indoor Air Quality and Microbial Exposure (1 paper), Influenza Virus Research Studies (1 paper), Statistical Methods and Inference (1 paper) and Toxic Organic Pollutants Impact (1 paper). The work is most often cited by research in Modeling and Simulation (48 citations), Infectious Diseases (91 citations), Health (18 citations), Health, Toxicology and Mutagenesis (27 citations) and Physiology (38 citations). Christopher Rawlinson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Stuart S. Martin, Christopher Wright, Jamie Lopez Bernal, Katherine A. Twohig, Natalie Groves, André Charlett, Asad Zaidi, Dimple Chudasama, Gavin Dabrera and Charlie Turner. Their work appears in journals such as The Lancet Regional Health - Europe, Biostatistics, Eurosurveillance, Journal of Chromatography A and QUT ePrints (Queensland University of Technology).
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.