David McEvoy

1.3k citations
17 papers · 524 · h-index 6

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research

Papers in

David McEvoy

16 papers receiving 512 citations

Peers

David McEvoy
Comparison fields: 5 of 80
  • Modeling and Simulation 347
  • Infectious Diseases 258
  • Health 35
  • Clinical Psychology 84
  • Economics and Econometrics 97
Replace Andrea Torneri with:
Andrea Torneri Belgium
Miriam Casey-Bryars Ireland
C Sabbatini France
Tapiwa Ganyani Belgium
Cécile Kremer Belgium
Dongxuan Chen Hong Kong
Noémie Courtejoie France
Amy Zheng United States
Aziz Mert Ipekci Switzerland
Hira Imeri Switzerland
David McEvoy relative to Andrea Torneri Belgium Andrea Torneri's profile →
Citations per field
00.5×1.5×1.8×
Andrea Torneri · 1×
Citations per year

Countries citing papers authored by David McEvoy

Since Specialization
Citations

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

Fields of papers citing papers by David McEvoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David McEvoy, 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 David McEvoy Line = papers co-authored together David McEvoy links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020306
2 202067
3 202340
4 202139
5 202132
6 202018
7 20225
8 20244
9 20204
10 20232
11 20232
12 20231
13 20241
14 20241
15 20251
16
COVID-19 epidemiological parameters summary document
20201
17 20250

About David McEvoy

David McEvoy is a scholar working on Modeling and Simulation, Infectious Diseases, Clinical Psychology, Epidemiology and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 524 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Suicide and Self-Harm Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Outbreaks Research (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), COVID-19 Clinical Research Studies (2 papers), Insect and Pesticide Research (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Modeling and Simulation (347 citations), Infectious Diseases (258 citations), Health (35 citations), Clinical Psychology (84 citations) and Economics and Econometrics (97 citations). David McEvoy has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Áine B. Collins, Simon J. More, Elizabeth Lane, Ann Barber, Kevin Hunt, Andrew W. Byrne, John Griffin, Conor G. McAloon, Miriam Casey-Bryars and Francis Butler. Their work appears in journals such as BMJ Open, Journal of Psychiatric Research, European Journal of Public Health, BMC Psychiatry and Journal of Affective Disorders.

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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