Janet Hamilton

2.0k total citations
24 papers, 215 citations indexed

About

Janet Hamilton is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Janet Hamilton has authored 24 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Infectious Diseases. Recurrent topics in Janet Hamilton's work include Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (5 papers) and COVID-19 epidemiological studies (3 papers). Janet Hamilton is often cited by papers focused on Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (5 papers) and COVID-19 epidemiological studies (3 papers). Janet Hamilton collaborates with scholars based in United States and France. Janet Hamilton's co-authors include Kate Goodin, Timothy J. Doyle, Bernard Hamilton, Kathryn Turner, Tesfaye Bayleyegn, Prakash Mulay, Carina Blackmore, Kirtana Ramadugu, Tegan K. Boehmer and Richard S. Hopkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and MMWR Morbidity and Mortality Weekly Report.

In The Last Decade

Janet Hamilton

22 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Hamilton United States 7 85 40 29 28 26 24 215
Kristin Bevilacqua United States 11 61 0.7× 67 1.7× 40 1.4× 72 2.6× 35 1.3× 33 291
Kate Goodin United States 9 146 1.7× 41 1.0× 27 0.9× 22 0.8× 92 3.5× 17 311
Jeanna-Eve Franck France 10 39 0.5× 54 1.4× 24 0.8× 44 1.6× 11 0.4× 21 297
William Mundo United States 8 81 1.0× 76 1.9× 61 2.1× 35 1.3× 6 0.2× 22 281
Alden Blair United States 11 71 0.8× 100 2.5× 47 1.6× 56 2.0× 18 0.7× 25 280
Jong Hyung Lee United States 6 34 0.4× 40 1.0× 23 0.8× 22 0.8× 19 0.7× 9 258
William A. Curry United States 11 71 0.8× 92 2.3× 47 1.6× 22 0.8× 18 0.7× 18 305
Bree Barbeau United States 5 81 1.0× 71 1.8× 32 1.1× 25 0.9× 11 0.4× 8 309
Saleena Subaiya United States 9 80 0.9× 34 0.8× 29 1.0× 43 1.5× 40 1.5× 11 258
Jo Wright Australia 7 28 0.3× 96 2.4× 37 1.3× 14 0.5× 14 0.5× 10 216

Countries citing papers authored by Janet Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Janet Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Hamilton

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

All Works

20 of 20 papers shown
1.
Loonsk, John W., et al.. (2024). Electronic Case Reporting Development, Implementation, and Expansion in the United States. Public Health Reports. 139(4). 432–442. 5 indexed citations
2.
Hamilton, Janet, et al.. (2021). Drive-through point-of-care INR testing: Novel concepts for delivery of care during the COVID-19 pandemic. American Journal of Health-System Pharmacy. 79(1). e4–e7. 2 indexed citations
3.
4.
Heberlein-Larson, Lea, Leah D. Gillis, Andrea Morrison, et al.. (2019). Partnerships Involved in Public Health Testing for Zika Virus in Florida, 2016. Public Health Reports. 134(2_suppl). 43S–52S. 3 indexed citations
5.
Atrubin, David, et al.. (2019). Approach to Onboarding Emergency Medical Services (EMS) Data Into a Syndromic Surveillance System. Online Journal of Public Health Informatics. 11(1). 3 indexed citations
6.
Ramadugu, Kirtana, Prakash Mulay, Janet Hamilton, et al.. (2018). Deaths Related to Hurricane Irma — Florida, Georgia, and North Carolina, September 4–October 10, 2017. MMWR Morbidity and Mortality Weekly Report. 67(30). 829–832. 50 indexed citations
7.
Wang, Alice, Tesfaye Bayleyegn, Rebecca S. Noe, et al.. (2017). Notes from the Field: Mortality Associated with Hurricane Matthew — United States, October 2016. MMWR Morbidity and Mortality Weekly Report. 66(5). 145–146. 9 indexed citations
8.
Pritchard, Scott, et al.. (2017). MERS PUI Surveillance and Restrospective Identification in ESSENCE-FL, 2013-2015. Online Journal of Public Health Informatics. 9(1). 1 indexed citations
9.
Hamilton, Janet, et al.. (2017). Characterizing Fentanyl-Associated Mortality using the Literal Causes of Death. Online Journal of Public Health Informatics. 9(1). 1 indexed citations
10.
Atrubin, David, Scott Bowden, & Janet Hamilton. (2016). Using Syndromic Surveillance to Rapidly Describe the Early Epidemiology of Flakka Use in Florida, June 2014 – August 2015. Online Journal of Public Health Informatics. 8(1). 2 indexed citations
11.
Atrubin, David, et al.. (2015). Impact of Patient Self-Registration in Emergency Departments on Syndromic Surveillance Data. Online Journal of Public Health Informatics. 7(1). 2 indexed citations
12.
Hopkins, Richard S., Kate Goodin, Aaron Kite-Powell, & Janet Hamilton. (2014). The Ratio of Emergency Department Visits for ILI to Seroprevalence of 2009 Pandemic Influenza A (H1N1) Virus Infection, Florida, 2009. PLoS Currents. 6. 4 indexed citations
13.
Hamilton, Janet, et al.. (2014). Utility of a Syndromic Surveillance System to Identify Disease Outbreaks with Reportable Disease Data. Online Journal of Public Health Informatics. 6(1). 2 indexed citations
14.
Doyle, Timothy J., Kate Goodin, & Janet Hamilton. (2013). Maternal and Neonatal Outcomes among Pregnant Women with 2009 Pandemic Influenza A(H1N1) Illness in Florida, 2009-2010: A Population-Based Cohort Study. PLoS ONE. 8(10). e79040–e79040. 67 indexed citations
15.
Turner, Kathryn, et al.. (2013). Progress in Increasing Electronic Reporting of Laboratory Results to Public Health Agencies — United States, 2013. PubMed Central. 62. 8 indexed citations
16.
Hamilton, Janet, Bernard Hamilton, & Yuri Stoyanov. (2013). Christian dualist heresies in the Byzantine world c. 650–c. 1450. Manchester University Press eBooks. 2 indexed citations
17.
Kite-Powell, Aaron, et al.. (2013). Operational Experience: Integration of ASPR Data into ESSENCE-FL during the RNC. Online Journal of Public Health Informatics. 5(1). 1 indexed citations
18.
Hamilton, Bernard & Janet Hamilton. (2012). St. Symeon the New Theologian and Western Dissident Movements. SHILAP Revista de lepidopterología. 2. 137–144.
19.
Cox, C., Kate Goodin, Emily Fisher, et al.. (2011). Prevalence of 2009 Pandemic Influenza A (H1N1) Virus Antibodies, Tampa Bay Florida — November–December, 2009. PLoS ONE. 6(12). e29301–e29301. 14 indexed citations
20.
Schulte, Joann, et al.. (2010). Pertussis in Florida, 2000–2006: Trends in a Historically Low-Incidence State. Public Health Reports. 125(5). 728–735. 2 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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