Reuben D. O’Dea

47 papers receiving 679 citations

Reuben D. O’Dea's Hit Papers

The effect of renewable energy incorporation on power grid stability and resilience 2022 · 142 citations
1420+1+2Years since publication4080120

Peers

Reuben D. O’Dea
Comparison fields: 5 of 116
  • Modeling and Simulation 63
  • Cell Biology 133
  • Energy Engineering and Power Technology 24
  • Cognitive Neuroscience 130
  • Computational Theory and Mathematics 96
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Qingshan Zhang China
Fernando E. Serrano Honduras
Emma Lejeune United States
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Reuben D. O’Dea relative to Qingshan Zhang China Qingshan Zhang's profile →
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Countries citing papers authored by Reuben D. O’Dea

Since Specialization
Citations

This map shows the geographic impact of Reuben D. 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 Reuben D. 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 Reuben D. O’Dea more than expected).

Fields of papers citing papers by Reuben D. O’Dea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Reuben D. 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 Reuben D. O’Dea Line = papers co-authored together Reuben D. O’Dea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The effect of renewable energy incorporation on power grid stability and resilience
Hit paper breakdown →
2022142
2 201953
3 201744
4 200942
5 201740
6 201636
7 200830
8 201428
9 201023
10 201122
11 201220
12 201120
13 201818
14 201615
15 202113
16 202113
17 201811
18 201510
19 202010
20 201610

About Reuben D. O’Dea

Reuben D. O’Dea is a scholar working on Cell Biology, Modeling and Simulation, Biomedical Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 48 papers that have together received 696 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (15 papers), Mathematical Biology Tumor Growth (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), 3D Printing in Biomedical Research (5 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Cell Biology (133 citations), Energy Engineering and Power Technology (24 citations), Cognitive Neuroscience (130 citations) and Computational Theory and Mathematics (96 citations). Reuben D. O’Dea has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sarah L. Waters, Helen M. Byrne, K. I. Hopcraft, Etienne Farcot, John R. King, M.E. Hubbard, Stephen Coombes, Jonathan J. Crofts, Áine Byrne and Bindi S. Brook. Their work appears in journals such as Mathematical Medicine and Biology A Journal of the IMA, Journal of Mathematical Biology, European Journal of Applied Mathematics, Journal of Theoretical Biology 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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