Emily Hadley

1.1k total citations
14 papers, 59 citations indexed

About

Emily Hadley is a scholar working on Artificial Intelligence, Infectious Diseases and General Health Professions. According to data from OpenAlex, Emily Hadley has authored 14 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Infectious Diseases and 3 papers in General Health Professions. Recurrent topics in Emily Hadley's work include COVID-19 epidemiological studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Computational and Text Analysis Methods (2 papers). Emily Hadley is often cited by papers focused on COVID-19 epidemiological studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Computational and Text Analysis Methods (2 papers). Emily Hadley collaborates with scholars based in United States. Emily Hadley's co-authors include Sarah Rhea, Marie C. D. Stoner, Alexander Preiss, Georgiy Bobashev, Robert Chew, Lei Li, Stacy Endres‐Dighe, Bryan Laraway, Elaine Hill and M. Daniel Brannock and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Emily Hadley

12 papers receiving 55 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Emily Hadley United States	5	14	14	13	10	8	14	59
Kara Jacobs Slifka United States	5	18 1.3×	9 0.6×	32 2.5×	7 0.7×	12 1.5×	14	79
Ruqin Gao China	4	17 1.2×	5 0.4×	36 2.8×	9 0.9×	10 1.3×	10	85
Fachun Zhou China	3	10 0.7×	16 1.1×	36 2.8×	7 0.7×	20 2.5×	3	90
Claire Mackintosh United Kingdom	4	11 0.8×	5 0.4×	20 1.5×	5 0.5×	6 0.8×	5	44
Xin Ci Wong Malaysia	3	18 1.3×	15 1.1×	44 3.4×	10 1.0×	13 1.6×	3	76
Alireza Shojaei Iran	4	7 0.5×	15 1.1×	35 2.7×	6 0.6×	9 1.1×	5	75
Iwona Hawryluk United Kingdom	3	11 0.8×	4 0.3×	13 1.0×	9 0.9×	2 0.3×	3	38
Ian Piper Australia	4	2 0.1×	5 0.4×	9 0.7×	13 1.3×	10 1.3×	20	97
Tuuli Jürgenson Estonia	5	10 0.7×	22 1.6×	22 1.7×	3 0.3×	7 0.9×	7	76
Hibba Kurdi United Kingdom	5	6 0.4×	8 0.6×	29 2.2×	6 0.6×	5 0.6×	17	72

Countries citing papers authored by Emily Hadley

Since Specialization

Citations

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

Fields of papers citing papers by Emily Hadley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Hadley

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

All Works

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14 of 14 papers shown

Preiss, Alexander, M. Daniel Brannock, John M. Baratta, et al.. (2025). Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia. The Lancet Digital Health. 7(8). 100887–100887. 1 indexed citations

Hadley, Emily, Yun Jae Yoo, Bryan Laraway, et al.. (2024). Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. SHILAP Revista de lepidopterología. 4(1). 129–129. 18 indexed citations

Hadley, Emily, et al.. (2024). Traditional and GenAI Text Analysis of COVID-19 Pandemic Trends in Hospital Community Benefits IRS Documentation. Journal of Data Science. 393–408.

Hadley, Emily, Alan Blatecky, & Megan Comfort. (2024). Investigating algorithm review boards for organizational responsible artificial intelligence governance. AI and Ethics. 5(3). 2485–2495. 3 indexed citations

Quain, Angela, et al.. (2023). Risk of Neonatal Sepsis With Rescue Steroids in Preterm Premature Rupture of Membranes. Cureus. 15(4). e37207–e37207. 1 indexed citations

Hadley, Emily, et al.. (2023). Text Analysis of Trends in Health Equity and Disparities From the Internal Revenue Service Tax Documentation Submitted by US Nonprofit Hospitals Between 2010 and 2019: Exploratory Study. Journal of Medical Internet Research. 25. e44330–e44330. 1 indexed citations

Adams, Joëlla W., et al.. (2023). Evaluating Policies to Decrease the Risk of Introducing SARS-CoV-2 Infections to Nursing Home Facilities. Journal of Applied Gerontology. 42(7). 1505–1516. 1 indexed citations

Preiss, Alexander, Emily Hadley, Marie C. D. Stoner, et al.. (2022). Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic. Infectious Disease Modelling. 7(1). 277–285. 6 indexed citations

Hadley, Emily, Alexander Preiss, Eric Lofgren, et al.. (2022). Estimate of undetected severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in acute-care hospital settings using an individual-based microsimulation model. Infection Control and Hospital Epidemiology. 44(6). 898–907. 1 indexed citations

10.

Hadley, Emily, et al.. (2022). Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation. PLoS ONE. 17(3). e0264704–e0264704. 14 indexed citations

11.

Hadley, Emily. (2022). Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. 2022 IEEE International Conference on Big Data (Big Data). 5029–5038. 4 indexed citations

12.

Endres‐Dighe, Stacy, et al.. (2021). Lessons learned from the rapid development of a statewide simulation model for predicting COVID-19’s impact on healthcare resources and capacity. PLoS ONE. 16(11). e0260310–e0260310. 5 indexed citations

13.

Lucas, Christine, et al.. (2021). Machine Learning for Medical Coding in Health Care Surveys. 1 indexed citations

14.

Chew, Robert, et al.. (2018). SMART: An Open Source Data Labeling Platform for Supervised Learning. arXiv (Cornell University). 20(82). 1–5. 3 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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