Matthew Smallman‐Raynor
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 1%
- Infectious Diseases top 10%
- General Health Professions top 10%
- Co-authors
- Andrew CliffPeter HaggettSarah LewisJohn BrittonNick McNallyHywel C WilliamsAndrea VennNiall Johnson
- Topics
- Zoonotic diseases and public health (17 papers)Vibrio bacteria research studies (12 papers)COVID-19 epidemiological studies (11 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Matthew Smallman‐Raynor
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 145
- Epidemiology 291
- Public Health, Environmental and Occupational Health 245
- Modeling and Simulation 217
- Infectious Diseases 189
- General Health Professions 152
Countries citing papers authored by Matthew Smallman‐Raynor
This map shows the geographic impact of Matthew Smallman‐Raynor'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 Matthew Smallman‐Raynor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Smallman‐Raynor more than expected).
Fields of papers citing papers by Matthew Smallman‐Raynor
This network shows the impact of papers produced by Matthew Smallman‐Raynor. 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 Matthew Smallman‐Raynor. The network helps show where Matthew Smallman‐Raynor may publish in the future.
Co-authorship network of co-authors of Matthew Smallman‐Raynor
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Smallman‐Raynor. A scholar is included among the top collaborators of Matthew Smallman‐Raynor 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 Matthew Smallman‐Raynor. Matthew Smallman‐Raynor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | Controlling the geographical spread of infectious disease: plague in Italy, 1347-1851. | 12 |
| 10 | Poliomyelitis : a world geography : emergence to eradication | 15 |
| 11 | 8 | |
| 12 | 40 | |
| 13 | 47 | |
| 14 | 52 | |
| 15 | 2 | |
| 16 | 30 | |
| 17 | 13 | |
| 18 | 124 | |
| 19 | 11 | |
| 20 | 66 |
About Matthew Smallman‐Raynor
Matthew Smallman‐Raynor is a scholar working on Modeling and Simulation, Endocrinology and Agronomy and Crop Science, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Zoonotic diseases and public health (17 papers), Vibrio bacteria research studies (12 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Endocrinology (56 citations) and Immunology and Allergy (66 citations). Matthew Smallman‐Raynor has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew Cliff, Peter Haggett, Sarah Lewis, John Britton, Nick McNally, Hywel C Williams, Andrea Venn, Niall Johnson, Crispin Jenkinson and Michael G. Thomas. Their work appears in journals such as The Lancet, The Science of The Total Environment and Social Science & Medicine.
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.