Marietta M. Squire

971 citations
5 papers · 597 indexed · 1 hit paper · h-index 4
Topics
Infection Control in Healthcare (2 papers)Antibiotic Use and Resistance (2 papers)Healthcare cost, quality, practices (1 paper)

In The Last Decade

Marietta M. Squire

5 papers receiving 586 citations

Hit Papers

Association between mobility patterns and COVID-19 transm...20202026202220242020100200300400500

Peers

Marietta M. Squire
Comparison fields: 5 of 89
  • Modeling and Simulation 424
  • Economics and Econometrics 188
  • Transportation 154
  • Epidemiology 144
  • Global and Planetary Change 81
Replace Ensheng Dong with:
Ensheng Dong United States
Maximilian Marshall United States
Liangcai Zhou China
Behzad Vahedi United States
Weiyu Luo United States
Alessandra Carioli United Kingdom
Michael R. Desjardins United States
David Martín-Corral Spain
Joel Ruihan Koo Singapore
Stefania Rubrichi France
Marietta M. Squire relative to Ensheng Dong United States Ensheng Dong's profile →
Citations per field
00.5×1.5×
Ensheng Dong · 1×
Citations per year

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

5 of 5 papers shown
#WorkIndexed citations
1 1
2 12
3 4
4
Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling studybreakdown →
577
5 3

About Marietta M. Squire

Marietta M. Squire is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 5 papers that have together received 597 indexed citations. Recurring topics across this work include Infection Control in Healthcare (2 papers), Antibiotic Use and Resistance (2 papers) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Modeling and Simulation (424 citations), Transportation (154 citations) and Economics and Econometrics (188 citations). Marietta M. Squire has collaborated with scholars based in United States and South Africa. Frequent co-authors include Ensheng Dong, Maximilian Marshall, Lauren Gardner, Hamada S. Badr, Hongru Du, Takeru Igusa, Arnesh Telukdarie, Gary Lin, Sauleh Siddiqui and Edward N. Squire. Their work appears in journals such as The Lancet Infectious Diseases, Energy and Buildings and HERD Health Environments Research & Design Journal.

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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