Marc Baguelin

22.2k citations
69 papers · 2.3k indexed · h-index 27
Topics
COVID-19 epidemiological studies (41 papers)Influenza Virus Research Studies (33 papers)Respiratory viral infections research (15 papers)

In The Last Decade

Marc Baguelin

67 papers receiving 2.2k citations

Peers

Marc Baguelin
Comparison fields: 5 of 125
  • Epidemiology 1.4k
  • Modeling and Simulation 1.2k
  • Infectious Diseases 852
  • Health 364
  • Public Health, Environmental and Occupational Health 223
Replace Tim K. Tsang with:
Tim K. Tsang Hong Kong
Emilia Vynnycky United Kingdom
Thomas Tsang China
Anne Cori United Kingdom
M. Elizabeth Halloran United States
W. John Edmunds United Kingdom
A. Danielle Iuliano United States
Rosalind M. Eggo United Kingdom
Heath Kelly Australia
Meagan C. Fitzpatrick United States
Marc Baguelin relative to Tim K. Tsang Hong Kong Tim K. Tsang's profile →
Citations per field
00.5×3.2×
Tim K. Tsang · 1×
Citations per year

Countries citing papers authored by Marc Baguelin

Since Specialization
Citations

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

Fields of papers citing papers by Marc Baguelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Baguelin

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Baguelin. A scholar is included among the top collaborators of Marc Baguelin 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 Marc Baguelin. Marc Baguelin 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 18
3 5
4 119
5 1
6 24
7 72
8 8
9 11
10 47
11 12
12 88
13 30
14 64
15 51
16 47
17 89
18 150
19 1
20
Preliminary Approach to the Simulation of Coevolution in an Ecosystem: The Bacterial Phage Interactions
2

About Marc Baguelin

Marc Baguelin is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (41 papers), Influenza Virus Research Studies (33 papers) and Respiratory viral infections research (15 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (852 citations) and Health (364 citations). Marc Baguelin has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stefan Flasche, Elizabeth Miller, Anton Camacho, W. John Edmunds, Mark Jit, Albert Jan van Hoek, Edwin van Leeuwen, W. John Edmunds, Nikolaos Demiris and Richard Pebody. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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