Marie Varughese

871 citations
15 papers · 523 indexed · 1 hit paper · h-index 8
Topics
COVID-19 epidemiological studies (4 papers)Tuberculosis Research and Epidemiology (4 papers)Pneumocystis jirovecii pneumonia detection and treatment (3 papers)
Partner nations
CanadaIrelandBrazil

In The Last Decade

Marie Varughese

15 papers receiving 504 citations

Hit Papers

Why is it difficult to accurately predict the COVID-19 ep...20202026202220242020100200300

Peers

Marie Varughese
Comparison fields: 5 of 97
  • Modeling and Simulation 346
  • Infectious Diseases 172
  • Economics and Econometrics 134
  • Epidemiology 100
  • Public Health, Environmental and Occupational Health 76
Replace Weston Roda with:
Weston Roda Canada
Wongyeong Choi South Korea
Yiseul Lee United States
Inga Holmdahl United States
Soumik Purkayastha United States
Miriam Casey-Bryars Ireland
Kevin Hunt Ireland
Dina Mistry United States
David Martín-Corral Spain
Andrea Torneri Belgium
Marie Varughese relative to Weston Roda Canada Weston Roda's profile →
Citations per field
00.5×
Weston Roda · 1×
Citations per year

Countries citing papers authored by Marie Varughese

Since Specialization
Citations

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

Fields of papers citing papers by Marie Varughese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Varughese

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

All Works

15 of 15 papers shown
#WorkIndexed citations
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Why is it difficult to accurately predict the COVID-19 epidemic?breakdown →
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9 15
10 23
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15 9

About Marie Varughese

Marie Varughese is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 15 papers that have together received 523 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Modeling and Simulation (346 citations), Infectious Diseases (172 citations) and Economics and Econometrics (134 citations). Marie Varughese has collaborated with scholars based in Canada, Ireland and Brazil. Frequent co-authors include Michael Y. Li, Weston Roda, A. O’Meara, Patrick J. Leavey, Douglas C. Dover, Philip H. Smith, Allison N. Scott, James Talbot, R. S. Sneath and F. Breatnach. Their work appears in journals such as BMC Health Services Research, BMC Infectious Diseases and European Journal of Public Health.

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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