Andrea Dugas

2.5k citations
36 papers · 1.6k indexed · 2 hit papers · h-index 16
Topics
Influenza Virus Research Studies (23 papers)Respiratory viral infections research (14 papers)Data-Driven Disease Surveillance (10 papers)

In The Last Decade

Andrea Dugas

33 papers receiving 1.6k citations

Hit Papers

The frequency of influenza and bacterial coinfection: a s...201620262019202220162017100200300

Peers

Andrea Dugas
Comparison fields: 5 of 145
  • Epidemiology 922
  • Emergency Medicine 311
  • Infectious Diseases 227
  • Artificial Intelligence 163
  • Modeling and Simulation 140
Replace Timothy L. Wiemken with:
Timothy L. Wiemken United States
Erica S. Shenoy United States
Louise Thwaites Vietnam
Jason Zucker United States
Nathan Peiffer‐Smadja France
Lydia N. Drumright United Kingdom
Jessica P. Ridgway United States
SeyedAhmad SeyedAlinaghi Iran
Srinivas Murthy Canada
Randy S. Wax Canada
Andrea Dugas relative to Timothy L. Wiemken United States Timothy L. Wiemken's profile →
Citations per field
00.5×2.8×
Timothy L. Wiemken · 1×
Citations per year

Countries citing papers authored by Andrea Dugas

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Dugas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Dugas

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Dugas. A scholar is included among the top collaborators of Andrea Dugas 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 Andrea Dugas. Andrea Dugas 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 5
2 3
3 2
4 15
5 13
6
Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Indexbreakdown →
264
7 30
8 10
9 96
10 40
11 60
12 18
13 2
14 6
15 264
16 23
17 54
18 39
19 155
20 11

About Andrea Dugas

Andrea Dugas is a scholar working on Emergency Medicine, Epidemiology and Modeling and Simulation, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), Respiratory viral infections research (14 papers) and Data-Driven Disease Surveillance (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (138 citations), Health Informatics (53 citations) and Emergency Medicine (311 citations). Andrea Dugas has collaborated with scholars based in United States, Denmark and Taiwan. Frequent co-authors include Richard E. Rothman, Yu‐Hsiang Hsieh, Scott Levin, Alisha Gupta, Larissa May, Wendi Jiang, Eili Klein, Mehdi Jalalpour, Charlotte A. Gaydos and Fred Torcaso. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

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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