Patrick M. D’Aoust

1.9k citations
33 papers · 1.2k · h-index 14

Impact in

Papers in

    • SARS-CoV-2 detection and testing 22
    • SARS-CoV-2 and COVID-19 Research 11
    • COVID-19 Clinical Research Studies 3
    • Viral gastroenteritis research and epidemiology 2
    • Smart Materials for Construction 3

Patrick M. D’Aoust

31 papers receiving 1.2k citations

Peers

Patrick M. D’Aoust
Comparison fields: 5 of 74
  • Infectious Diseases 1.0k
  • Modeling and Simulation 57
  • Biomedical Engineering 521
  • General Dentistry 14
  • Radiology, Nuclear Medicine and Imaging 143
Replace Alessandro Zulli with:
Alessandro Zulli United States
Élisabeth Mercier Canada
Newsha Ghaeli United States
Amy Xiao United States
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Enric Cuevas‐Ferrando Spain
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Citations per field
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Citations per year

Countries citing papers authored by Patrick M. D’Aoust

Since Specialization
Citations

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

Fields of papers citing papers by Patrick M. D’Aoust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick M. D’Aoust. 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 Patrick M. D’Aoust. The network helps show where Patrick M. D’Aoust may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick M. D’Aoust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick M. D’Aoust Line = papers co-authored together Patrick M. D’Aoust links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020304
2 2021167
3 2022106
4 202199
5 202385
6 202276
7 202146
8 202143
9 202237
10 202234
11 202328
12 202228
13 202127
14 202318
15 201712
16 202312
17 202411
18 202310
19 20197
20 20176

About Patrick M. D’Aoust

Patrick M. D’Aoust is a scholar working on Infectious Diseases, Pollution, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Water Science and Technology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (22 papers), Biosensors and Analytical Detection (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 diagnosis using AI (4 papers), COVID-19 Clinical Research Studies (3 papers), Smart Materials for Construction (3 papers), Urban Stormwater Management Solutions (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Modeling and Simulation (57 citations), Biomedical Engineering (521 citations), General Dentistry (14 citations) and Radiology, Nuclear Medicine and Imaging (143 citations). Patrick M. D’Aoust has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Robert Delatolla, Élisabeth Mercier, Tyson Ernst Graber, Alex E. Mackenzie, Mark Roy Servos, Tommy Alain, Malcolm R. MacKenzie, I. V. Alexandrov, Daniel Figeys and Aiman Tariq Baig. Their work appears in journals such as The Science of The Total Environment, Water Research, Water Quality Research Journal, Current Opinion in Environmental Science & Health 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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