Jamie Bedson

526 total citations
9 papers, 238 citations indexed

About

Jamie Bedson is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Jamie Bedson has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Modeling and Simulation and 3 papers in Health. Recurrent topics in Jamie Bedson's work include COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (6 papers) and Vaccine Coverage and Hesitancy (3 papers). Jamie Bedson is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (6 papers) and Vaccine Coverage and Hesitancy (3 papers). Jamie Bedson collaborates with scholars based in United States, Sierra Leone and United Kingdom. Jamie Bedson's co-authors include Mohamed F. Jalloh, Danielle Pedi, Benjamin M. Althouse, Laurent Hébert‐Dufresne, Laura Skrip, Nina Gobat, Sharon Abramowitz, Katharine R. Owen, Samuel V. Scarpino and Mohamed Jalloh and has published in prestigious journals such as The Lancet, American Journal of Tropical Medicine and Hygiene and Journal of Health Communication.

In The Last Decade

Jamie Bedson

9 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Bedson United States 8 127 81 52 41 34 9 238
Danielle Pedi United States 6 107 0.8× 61 0.8× 47 0.9× 25 0.6× 32 0.9× 10 258
Jimoh Amzat Nigeria 9 72 0.6× 55 0.7× 52 1.0× 48 1.2× 59 1.7× 58 322
Andrea McNeill New Zealand 5 106 0.8× 82 1.0× 30 0.6× 38 0.9× 38 1.1× 8 256
Parvathy Mohanan Bulgaria 10 70 0.6× 116 1.4× 26 0.5× 52 1.3× 26 0.8× 19 232
Simone Carter United States 10 161 1.3× 121 1.5× 55 1.1× 87 2.1× 51 1.5× 19 368
Mervat Alhaffar United Kingdom 9 73 0.6× 74 0.9× 42 0.8× 53 1.3× 33 1.0× 21 251
Allan Maleche United States 10 62 0.5× 134 1.7× 75 1.4× 69 1.7× 59 1.7× 23 344
Maike Winters United States 8 58 0.5× 68 0.8× 80 1.5× 68 1.7× 29 0.9× 24 241
Lise D. Martel United States 11 90 0.7× 197 2.4× 60 1.2× 57 1.4× 43 1.3× 24 314
Stéphanie Dagron Switzerland 6 54 0.4× 58 0.7× 72 1.4× 24 0.6× 29 0.9× 18 209

Countries citing papers authored by Jamie Bedson

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Bedson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Bedson

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

All Works

9 of 9 papers shown
1.
Jalloh, Mohamed F., Maike Winters, Jamie Bedson, et al.. (2021). Behaviour adoption approaches during public health emergencies: implications for the COVID-19 pandemic and beyond. BMJ Global Health. 6(1). e004450–e004450. 20 indexed citations
2.
Bedson, Jamie, Laura Skrip, Danielle Pedi, et al.. (2021). A review and agenda for integrated disease models including social and behavioural factors. Nature Human Behaviour. 5(7). 834–846. 98 indexed citations
3.
Skrip, Laura, Prashanth Selvaraj, Brittany Hagedorn, et al.. (2021). Seeding COVID-19 across Sub-Saharan Africa: An Analysis of Reported Importation Events across 49 Countries. American Journal of Tropical Medicine and Hygiene. 104(5). 1694–1702. 10 indexed citations
4.
Chan, Emily Ying Yang, et al.. (2021). Bottom-up citizen engagement for health emergency and disaster risk management: directions since COVID-19. The Lancet. 398(10296). 194–196. 18 indexed citations
5.
Skrip, Laura, Mosoka Fallah, Jamie Bedson, Laurent Hébert‐Dufresne, & Benjamin M. Althouse. (2021). Coordinated support for local action: Modeling strategies to facilitate behavior adoption in urban-poor communities of Liberia for sustained COVID-19 suppression. Epidemics. 37. 100529–100529. 4 indexed citations
6.
Bedson, Jamie, Mohamed F. Jalloh, Danielle Pedi, et al.. (2020). Community engagement in outbreak response: lessons from the 2014–2016 Ebola outbreak in Sierra Leone. BMJ Global Health. 5(8). e002145–e002145. 42 indexed citations
8.
Skrip, Laura, Jamie Bedson, Sharon Abramowitz, et al.. (2020). Unmet needs and behaviour during the Ebola response in Sierra Leone: a retrospective, mixed-methods analysis of community feedback from the Social Mobilization Action Consortium. The Lancet Planetary Health. 4(2). e74–e85. 13 indexed citations
9.
Pedi, Danielle, Amaya M. Gillespie, Jamie Bedson, et al.. (2017). The Development of Standard Operating Procedures for Social Mobilization and Community Engagement in Sierra Leone During the West Africa Ebola Outbreak of 2014–2015. Journal of Health Communication. 22(sup1). 39–50. 25 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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