Katelynn Devinney

1.1k total citations
9 papers, 213 citations indexed

About

Katelynn Devinney is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Katelynn Devinney has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Katelynn Devinney's work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Katelynn Devinney is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Katelynn Devinney collaborates with scholars based in United States. Katelynn Devinney's co-authors include Emily McGibbon, Jennifer Baumgartner, Corinne N. Thompson, Gretchen Van Wye, Scott A. Harper, Annie D. Fine, Kevin Konty, Joseph Kennedy, Kevin Guerra and Neil M. Vora and has published in prestigious journals such as MMWR Morbidity and Mortality Weekly Report, Journal of the American Medical Informatics Association and Journal of Artificial Societies and Social Simulation.

In The Last Decade

Katelynn Devinney

9 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katelynn Devinney United States 5 78 65 51 33 30 9 213
Sarah Willardson United States 4 72 0.9× 50 0.8× 76 1.5× 13 0.4× 50 1.7× 4 235
Theresa Sokol United States 6 55 0.7× 20 0.3× 34 0.7× 32 1.0× 48 1.6× 19 189
Lois O’Connor Ireland 9 88 1.1× 22 0.3× 52 1.0× 62 1.9× 18 0.6× 19 236
Nasim Lotfinejad Switzerland 7 87 1.1× 17 0.3× 16 0.3× 12 0.4× 19 0.6× 18 234
The Lancet Respiratory Medicine 6 62 0.8× 33 0.5× 44 0.9× 13 0.4× 15 0.5× 15 189
Usha Samala United States 7 108 1.4× 18 0.3× 32 0.6× 13 0.4× 30 1.0× 7 178
Jacinta I‐Pei Chen Singapore 3 273 3.5× 33 0.5× 50 1.0× 27 0.8× 22 0.7× 3 408
Seungjae Lee South Korea 5 273 3.5× 31 0.5× 96 1.9× 56 1.7× 32 1.1× 9 408
Bimandra A Djaafara Indonesia 7 120 1.5× 40 0.6× 84 1.6× 27 0.8× 49 1.6× 16 253
Miyerlandi Torres Colombia 5 178 2.3× 18 0.3× 25 0.5× 17 0.5× 13 0.4× 13 275

Countries citing papers authored by Katelynn Devinney

Since Specialization
Citations

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

Fields of papers citing papers by Katelynn Devinney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katelynn Devinney

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

All Works

9 of 9 papers shown
1.
Devinney, Katelynn, et al.. (2025). Notes from the Field: Increase in New Delhi Metallo-β-Lactamase–Producing Carbapenem-Resistant Enterobacterales — New York City, 2019–2024. MMWR Morbidity and Mortality Weekly Report. 74(23). 401–403. 1 indexed citations
2.
Hatna, Erez, Katelynn Devinney, Julia Latash, et al.. (2024). An Agent-Based Model to Assess Possible Interventions for Large Shigellosis Outbreaks. Journal of Artificial Societies and Social Simulation. 27(3). 1 indexed citations
3.
Ngai, Stephanie, Jessica Sell, Maryam Iqbal, et al.. (2022). Built by epidemiologists for epidemiologists: an internal COVID-19 dashboard for real-time situational awareness in New York City. JAMIA Open. 5(2). ooac029–ooac029. 2 indexed citations
4.
Greene, Sharon K., Alison Levin‐Rector, Emily McGibbon, et al.. (2021). Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design. Vaccine X. 10. 100134–100134. 7 indexed citations
6.
Thompson, Corinne N., Scott Hughes, Stephanie Ngai, et al.. (2021). Rapid Emergence and Epidemiologic Characteristics of the SARS-CoV-2 B.1.526 Variant — New York City, New York, January 1–April 5, 2021. MMWR Morbidity and Mortality Weekly Report. 70(19). 712–716. 36 indexed citations
7.
Olson, Donald R., Mary Huynh, Annie D. Fine, et al.. (2020). Preliminary Estimate of Excess Mortality During the COVID-19 Outbreak — New York City, March 11–May 2, 2020. MMWR Morbidity and Mortality Weekly Report. 69(19). 603–605. 124 indexed citations
8.
Devinney, Katelynn, Luis Gravano, David Howell, et al.. (2018). Evaluating Twitter for Foodborne Illness Outbreak Detection in New York City. Online Journal of Public Health Informatics. 10(1). 5 indexed citations
9.
Balter, Sharon, Katelynn Devinney, Vasudha Reddy, et al.. (2017). Discovering foodborne illness in online restaurant reviews. Journal of the American Medical Informatics Association. 25(12). 1586–1592. 36 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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