Eamon B. O’Dea

20 papers receiving 504 citations

Eamon B. O’Dea's Hit Papers

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States 2022 · 188 citations
1880+1+2Years since publication50100150

Peers

Eamon B. O’Dea
Comparison fields: 5 of 72
  • Modeling and Simulation 150
  • Global and Planetary Change 141
  • Public Health, Environmental and Occupational Health 156
  • Epidemiology 85
  • Statistical and Nonlinear Physics 29
Replace Tobias S. Brett with:
Tobias S. Brett United States
Andrew J. Black Australia
Suzanne M. O’Regan United States
Fred Lu United States
Siu Yin (Max) Lau United States
Carles Bretó Spain
Diana Patricia Rojas United States
Rami Yaari Israel
Quan-Hui Liu China
Abdul‐Aziz Yakubu United States
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Citations per year

Countries citing papers authored by Eamon B. O’Dea

Since Specialization
Citations

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

Fields of papers citing papers by Eamon B. O’Dea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eamon B. O’Dea. 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 Eamon B. O’Dea. The network helps show where Eamon B. O’Dea may publish in the future.

Co-authors

The 19 scholars most cited alongside Eamon B. O’Dea, 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 Eamon B. O’Dea Line = papers co-authored together Eamon B. O’Dea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Hit paper breakdown →
2022188
2 201948
3 201938
4 201827
5 201724
6 202024
7 201021
8 201420
9 201620
10 201018
11 201816
12 202415
13 201613
14 201813
15 202210
16 20229
17 20234
18 20233
19 20252
20 20161

About Eamon B. O’Dea

Eamon B. O’Dea is a scholar working on Modeling and Simulation, Global and Planetary Change, Public Health, Environmental and Occupational Health, Genetics and Agronomy and Crop Science, having authored 20 papers that have together received 514 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Ecosystem dynamics and resilience (8 papers), COVID-19 epidemiological studies (5 papers), Evolution and Genetic Dynamics (2 papers), Model Reduction and Neural Networks (1 paper), Animal Disease Management and Epidemiology (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Modeling and Simulation (150 citations), Global and Planetary Change (141 citations), Public Health, Environmental and Occupational Health (156 citations), Epidemiology (85 citations) and Statistical and Nonlinear Physics (29 citations). Eamon B. O’Dea has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John M. Drake, Pej Rohani, Claus O. Wilke, ANDREW W. PARK, Bogdan I. Epureanu, Shiyang Chen, Suzanne M. O’Regan, Tobias S. Brett, Matthew J. Ferrari and Kim M. Pepin. Their work appears in journals such as Journal of The Royal Society Interface, PLoS Computational Biology, Scientific Reports, Epidemics and Theoretical Ecology.

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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