Matthew Biggerstaff

12.0k citations
81 papers · 4.0k indexed · 4 hit papers · h-index 30
Topics
Influenza Virus Research Studies (60 papers)COVID-19 epidemiological studies (51 papers)Respiratory viral infections research (22 papers)

In The Last Decade

Matthew Biggerstaff

76 papers receiving 3.8k citations

Hit Papers

SARS-CoV-2 Transmission From People...20142026201820222021202120142017200400600

Peers

Matthew Biggerstaff
Comparison fields: 5 of 164
  • Epidemiology 1.6k
  • Modeling and Simulation 1.6k
  • Infectious Diseases 1.4k
  • Public Health, Environmental and Occupational Health 351
  • Health 340
Replace Chikwe Ihekweazu with:
Chikwe Ihekweazu Nigeria
Christel Faes Belgium
Ranjit Sah Nepal
Bonnie Henry Canada
Clarence C. Tam United Kingdom
Johan Giesecke Sweden
Mélanie Saville France
Yonatan H. Grad United States
Peter Horby United Kingdom
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Matthew Biggerstaff relative to Chikwe Ihekweazu Nigeria Chikwe Ihekweazu's profile →
Citations per field
00.5×4.3×
Chikwe Ihekweazu · 1×
Citations per year

Countries citing papers authored by Matthew Biggerstaff

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Biggerstaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Biggerstaff. 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 Biggerstaff. The network helps show where Matthew Biggerstaff may publish in the future.

Co-authorship network of co-authors of Matthew Biggerstaff

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Biggerstaff. A scholar is included among the top collaborators of Matthew Biggerstaff 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 Biggerstaff. Matthew Biggerstaff 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
#WorkIndexed citations
1 1
2 1
3 1
4 3
5 0
6 2
7 1
8 3
9 26
10 95
11 5
12 9
13 65
14 4
15 6
16 8
17 14
18 11
19 3
20 77

About Matthew Biggerstaff

Matthew Biggerstaff is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 81 papers that have together received 4.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (60 papers), COVID-19 epidemiological studies (51 papers) and Respiratory viral infections research (22 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Infectious Diseases (1.4k citations) and Epidemiology (1.6k citations). Matthew Biggerstaff has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Carrie Reed, Lyn Finelli, Michael A. Johansson, Rachel B. Slayton, John T. Brooks, Manoj Gambhir, Simon Cauchemez, Jay C. Butler, Talía M. Quandelacy and Pragati Prasad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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