Marietta M. Squire

971 total citations · 1 hit paper
5 papers, 597 citations indexed

About

Marietta M. Squire is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology and General Health Professions. According to data from OpenAlex, Marietta M. Squire has authored 5 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Applied Microbiology and Biotechnology and 1 paper in General Health Professions. Recurrent topics in Marietta M. Squire's work include Infection Control in Healthcare (2 papers), Antibiotic Use and Resistance (2 papers) and Healthcare cost, quality, practices (1 paper). Marietta M. Squire is often cited by papers focused on Infection Control in Healthcare (2 papers), Antibiotic Use and Resistance (2 papers) and Healthcare cost, quality, practices (1 paper). Marietta M. Squire collaborates with scholars based in United States and South Africa. Marietta M. Squire's co-authors include Hamada S. Badr, Ensheng Dong, Lauren Gardner, Hongru Du, Maximilian Marshall, Takeru Igusa, Arnesh Telukdarie, Gary Lin, Sauleh Siddiqui and Edward N. Squire and has published in prestigious journals such as The Lancet Infectious Diseases, Energy and Buildings and HERD Health Environments Research & Design Journal.

In The Last Decade

Marietta M. Squire

5 papers receiving 586 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.

Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

2020 577 citations Hamada S. Badr, Hongru Du et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marietta M. Squire United States	4	424	188	154	144	81	5	597
Maximilian Marshall United States	4	445 1.0×	191 1.0×	156 1.0×	163 1.1×	81 1.0×	6	641
Ensheng Dong United States	7	501 1.2×	224 1.2×	158 1.0×	215 1.5×	84 1.0×	12	841
David Martín-Corral Spain	3	448 1.1×	116 0.6×	89 0.6×	155 1.1×	41 0.5×	4	593
Behzad Vahedi United States	6	409 1.0×	252 1.3×	76 0.5×	177 1.2×	152 1.9×	9	698
Liangcai Zhou China	5	618 1.5×	274 1.5×	101 0.7×	186 1.3×	85 1.0×	12	906
Weiyu Luo United States	6	286 0.7×	106 0.6×	246 1.6×	124 0.9×	76 0.9×	12	519
Alessandra Carioli United Kingdom	11	213 0.5×	94 0.5×	80 0.5×	67 0.5×	80 1.0×	16	495
Michael R. Desjardins United States	13	440 1.0×	148 0.8×	75 0.5×	368 2.6×	74 0.9×	40	767
Joel Ruihan Koo Singapore	9	459 1.1×	204 1.1×	46 0.3×	91 0.6×	62 0.8×	20	852
Tomáš Gavenčiak Czechia	7	464 1.1×	212 1.1×	24 0.2×	107 0.7×	52 0.6×	17	728

Countries citing papers authored by Marietta M. Squire

Since Specialization

Citations

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

Fields of papers citing papers by Marietta M. Squire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marietta M. Squire. 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 Marietta M. Squire. The network helps show where Marietta M. Squire may publish in the future.

Co-authorship network of co-authors of Marietta M. Squire

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

All Works

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5 of 5 papers shown

1.

Telukdarie, Arnesh, et al.. (2023). Hospital energy demand forecasting for prioritisation during periods of constrained supply. Journal of Industrial Engineering and Management. 16(1). 131–131. 1 indexed citations

2.

Squire, Marietta M., et al.. (2021). Modeling hospital energy and economic costs for COVID-19 infection control interventions. Energy and Buildings. 242. 110948–110948. 12 indexed citations

3.

Squire, Marietta M., et al.. (2020). Optimal Design of Paired Built Environment Interventions for Control of MDROs in Acute Care and Community Hospitals. HERD Health Environments Research & Design Journal. 14(2). 109–129. 4 indexed citations

4.

Badr, Hamada S., Hongru Du, Maximilian Marshall, et al.. (2020). Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet Infectious Diseases. 20(11). 1247–1254. 577 indexed citations breakdown →

5.

Squire, Marietta M., et al.. (2019). Cost-Effectiveness of Multifaceted Built Environment Interventions for Reducing Transmission of Pathogenic Bacteria in Healthcare Facilities. HERD Health Environments Research & Design Journal. 12(2). 147–161. 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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