Leah Boulos

26 papers receiving 499 citations

Peers

Leah Boulos
Comparison fields: 5 of 98
  • Modeling and Simulation 20
  • General Health Professions 88
  • Statistics, Probability and Uncertainty 23
  • Health Informatics 4
  • Occupational Therapy 12
Replace Natalia Krzyżaniak with:
Natalia Krzyżaniak Australia
Ζωή Ρούπα Cyprus
Carolyn Ingram Ireland
Hosein Ameri Iran
Daniel Felipe Patiño-Lugo Colombia
Larry Baxter Canada
Tieying Zeng China
David Fraile Navarro Australia
Ibrahim S. Al‐Busaidi New Zealand
Mohit Sharma United States
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Citations per field
00.5×4.6×
Natalia Krzyżaniak · 1×
Citations per year

Countries citing papers authored by Leah Boulos

Since Specialization
Citations

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

Fields of papers citing papers by Leah Boulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leah Boulos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leah Boulos Line = papers co-authored together Leah Boulos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 201867
3 202252
4 202151
5 201943
6 202036
7 202324
8 202121
9 202120
10 202218
11 202117
12 202416
13 201813
14 20228
15 20228
16 20206
17 20205
18 20215
19 20225
20 20235

About Leah Boulos

Leah Boulos is a scholar working on Statistics, Probability and Uncertainty, Surgery, General Health Professions, Sociology and Political Science and Epidemiology, having authored 30 papers that have together received 512 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Cardiac and Coronary Surgery Techniques (2 papers), Chronic Disease Management Strategies (2 papers), Infection Control and Ventilation (1 paper), Interprofessional Education and Collaboration (1 paper), Occupational Health and Performance (1 paper), SARS-CoV-2 detection and testing (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (20 citations), General Health Professions (88 citations), Statistics, Probability and Uncertainty (23 citations), Health Informatics (4 citations) and Occupational Therapy (12 citations). Leah Boulos has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include William Montelpare, Daniel A. Nagel, Patricia Charlton, Rima Azar, Alison Luke, Shelley Doucet, Kim Mears, Jill A. Hayden, Nicole Doria and Adrian R. Levy. Their work appears in journals such as BMJ Open, PLoS ONE, Journal of the Medical Library Association JMLA, BMC Public Health and Journal of Clinical Epidemiology.

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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