Julia Eaton

792 total citations · 1 hit paper
12 papers, 400 citations indexed

About

Julia Eaton is a scholar working on Health, Geometry and Topology and Epidemiology. According to data from OpenAlex, Julia Eaton has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, 3 papers in Geometry and Topology and 3 papers in Epidemiology. Recurrent topics in Julia Eaton's work include COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Advanced Differential Equations and Dynamical Systems (3 papers). Julia Eaton is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Advanced Differential Equations and Dynamical Systems (3 papers). Julia Eaton collaborates with scholars based in United States, Germany and South Africa. Julia Eaton's co-authors include Tiffany Leung, Laura Matrajt, Elizabeth R. Brown, Dobromir Dimitrov, Joshua T. Schiffer, David A. Swan, Holly Janes, Ian Painter, Donald R. Olson and Michael L. Overton and has published in prestigious journals such as Nature Communications, Science Advances and Mathematical Programming.

In The Last Decade

Julia Eaton

12 papers receiving 398 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vaccine optimization for COVID-19: Who to vaccinate first?

2021 273 citations Laura Matrajt, Julia Eaton et al. Science Advances profile →

Peers

Julia Eaton

MS

ID

HEALT

EPIDE

EE

Kate M. Bubar United States

Sam Moore United Kingdom

C Sabbatini France

Kathiresan Gopal Malaysia

David McEvoy Ireland

Vivian Wan In Wei Hong Kong

P Jentsch Canada

James Wambua Belgium

Enahoro Iboi United States

Andrea Torneri Belgium

Kate M. Bubar United States

Julia Eaton

416 ×1.3

MS

369 ×1.5

ID

230 ×1.2

HEALT

90 ×1.2

EPIDE

75 ×1.7

EE

Citations per year, relative to Julia Eaton Julia Eaton (= 1×) peers Kate M. Bubar

Countries citing papers authored by Julia Eaton

Since Specialization

Citations

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

Fields of papers citing papers by Julia Eaton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Eaton

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Eaton. A scholar is included among the top collaborators of Julia Eaton 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 Julia Eaton. Julia Eaton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Leung, Tiffany, Julia Eaton, & Laura Matrajt. (2022). Optimizing one-dose and two-dose cholera vaccine allocation in outbreak settings: A modeling study. PLoS neglected tropical diseases. 16(4). e0010358–e0010358. 8 indexed citations

2.

Matrajt, Laura, Julia Eaton, Tiffany Leung, et al.. (2021). Optimizing vaccine allocation for COVID-19 vaccines shows the potential role of single-dose vaccination. Nature Communications. 12(1). 3449–3449. 102 indexed citations

3.

Matrajt, Laura, Julia Eaton, Tiffany Leung, & Elizabeth R. Brown. (2021). Vaccine optimization for COVID-19: Who to vaccinate first?. Science Advances. 7(6). 273 indexed citations breakdown →

4.

Eaton, Julia, et al.. (2016). Polynomial root radius optimization with affine constraints. Mathematical Programming. 165(2). 509–528. 1 indexed citations

5.

Eaton, Julia, Ian Painter, Donald R. Olson, & William B. Lober. (2015). Visualizing the quality of partially accruing data for use in decision making. Online Journal of Public Health Informatics. 7(3). e226–e226. 1 indexed citations

6.

Eaton, Julia, et al.. (2015). Polynomial Stabilization with Bounds on the Controller Coefficients∗∗##. IFAC-PapersOnLine. 48(14). 382–387. 2 indexed citations

7.

Painter, Ian, et al.. (2013). Using Change Point Detection for Monitoring the Quality of Aggregate Data. Online Journal of Public Health Informatics. 5(1). 3 indexed citations

8.

Painter, Ian, et al.. (2011). Generation of Prediction Intervals to Assess Data Quality in the Distribute System Using Quantile Regression. University of Washington Tacoma Digital Commons (University of Washington Tacoma). 5172–5179. 4 indexed citations

9.

Painter, Ian, et al.. (2011). How good is your data?. 4(0). 2 indexed citations

10.

Burke, James V. & Julia Eaton. (2011). On the subdifferential regularity of max root functions for polynomials. Nonlinear Analysis. 75(3). 1168–1187. 2 indexed citations

11.

Eaton, Julia, et al.. (2010). Survival disparities in non-small cell lung cancer patients receiving radiation treatment: An investigation of race and gender. 2(3). 29–34. 1 indexed citations

12.

Eaton, Julia, Anant P. Godbole, & Betsy Sinclair. (2010). Competition between discrete random variables, with applications to occupancy problems. Journal of Statistical Planning and Inference. 140(8). 2204–2212. 1 indexed citations

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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