Mara Howard-Williams

1.1k total citations
8 papers, 83 citations indexed

About

Mara Howard-Williams is a scholar working on General Health Professions, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, Mara Howard-Williams has authored 8 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Modeling and Simulation and 3 papers in Economics and Econometrics. Recurrent topics in Mara Howard-Williams's work include COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and Employment and Welfare Studies (2 papers). Mara Howard-Williams is often cited by papers focused on COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and Employment and Welfare Studies (2 papers). Mara Howard-Williams collaborates with scholars based in United States, Israel and France. Mara Howard-Williams's co-authors include Russell F. McCord, Christopher Dunphy, Gregory Sunshine, Marissa K. Grossman, Stephanie Foster, Leah S. Fischer, J. Danielle Sharpe, Macarena C. García, Frank C. Curriero and Kelly Fletcher and has published in prestigious journals such as Annals of Epidemiology, Epidemiology and Infection and Public Health Reports.

In The Last Decade

Mara Howard-Williams

6 papers receiving 80 citations

Peers

Mara Howard-Williams

HEALT

MS

GHP

ID

CP

Muhammad Ilyas Pakistan

Latif Ndeketa United Kingdom

Osama Hassan United Kingdom

Ramu Kharel United States

Eliud Kibuchi United Kingdom

Kelly Elimian Nigeria

Eve Nakabembe Uganda

Khozya Zyambo Zambia

Mohamed Jalloh Sierra Leone

John Oladejo Nigeria

Muhammad Ilyas Pakistan

Mara Howard-Williams

19 ×0.7

HEALT

21 ×0.9

MS

16 ×0.9

GHP

10 ×0.7

ID

39 ×3.3

CP

Citations per year, relative to Mara Howard-Williams Mara Howard-Williams (= 1×) peers Muhammad Ilyas

Countries citing papers authored by Mara Howard-Williams

Since Specialization

Citations

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

Fields of papers citing papers by Mara Howard-Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mara Howard-Williams. 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 Mara Howard-Williams. The network helps show where Mara Howard-Williams may publish in the future.

Co-authorship network of co-authors of Mara Howard-Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Mara Howard-Williams. A scholar is included among the top collaborators of Mara Howard-Williams 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 Mara Howard-Williams. Mara Howard-Williams 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:

8 of 8 papers shown

1.

Dunphy, Christopher, Linda Trinh Võ, Mara Howard-Williams, et al.. (2024). Changes in Self-Reported Mask Use After the Lifting of State-Issued Mask Mandates in 20 US States, February–June 2021. Journal of Public Health Management and Practice. 30(6). E335–E343.

2.

Koski, Lia, Hannah Kisselburgh, Rachel Hulkower, et al.. (2022). Foodborne illness outbreaks linked to unpasteurised milk and relationship to changes in state laws – United States, 1998–2018. Epidemiology and Infection. 150. e183–e183. 12 indexed citations

3.

Joo, Heesoo, Mara Howard-Williams, Russell F. McCord, et al.. (2022). Trends in Percentages of the US Population Covered by State-Issued COVID-19 Nonpharmaceutical Interventions, March 1, 2020-August 15, 2021. Journal of Public Health Management and Practice. 28(5). 491–495. 1 indexed citations

4.

Howard-Williams, Mara, et al.. (2022). Association Between State-Issued COVID-19 Vaccine Mandates and Vaccine Administration Rates in 12 US States and the District of Columbia. JAMA Health Forum. 3(10). e223810–e223810. 17 indexed citations

5.

Dunphy, Christopher, Heesoo Joo, Mathew R. P. Sapiano, et al.. (2022). The Association Between State-Issued Mask Mandates and County COVID-19 Hospitalization Rates. Journal of Public Health Management and Practice. 28(6). 712–719.

6.

Dunphy, Christopher, Gabrielle F. Miller, Gregory Sunshine, et al.. (2022). The Differential Impact of Reopening States With and Without COVID-19 Face Mask Mandates on County-Level Consumer Spending. Public Health Reports. 137(5). 1000–1006. 5 indexed citations

7.

Dunphy, Christopher, Gabrielle F. Miller, Ketra Rice, et al.. (2021). The Impact of Covid-19 State Closure Orders on Consumer Spending, Employment, and Business Revenue. Journal of Public Health Management and Practice. 28(1). 43–49. 10 indexed citations

8.

Fletcher, Kelly, Marissa K. Grossman, J. Danielle Sharpe, et al.. (2021). Social vulnerability and county stay-at-home behavior during COVID-19 stay-at-home orders, United States, April 7–April 20, 2020. Annals of Epidemiology. 64. 76–82. 38 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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