Margo Barr

1.7k citations
54 papers · 946 · h-index 15

Impact in

Papers in

Margo Barr

48 papers receiving 903 citations

Peers

Margo Barr
Comparison fields: 5 of 111
  • Physical Therapy, Sports Therapy and Rehabilitation 98
  • Health 60
  • Applied Psychology 35
  • Modeling and Simulation 31
  • Clinical Psychology 127
Replace Saeed Bashirian with:
Saeed Bashirian Iran
Iris Lesser Canada
Stephanie Stockwell United Kingdom
Tala Chulak-Bozzer Canada
Patricia Pérez-Rodríguez Spain
Robert J. Noonan United Kingdom
Thiago Sousa Matias Brazil
Quyen G. To Australia
Y. Claire Wang United States
Bridgette Do United States
Margo Barr relative to Saeed Bashirian Iran Saeed Bashirian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Margo Barr

Since Specialization
Citations

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

Fields of papers citing papers by Margo Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Margo Barr, 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 Margo Barr Line = papers co-authored together Margo Barr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012165
2 2008151
3 2011135
4 201156
5 201940
6 201235
7 201035
8 201032
9 201027
10 202222
11 201921
12 200919
13 200919
14 200918
15 202214
16 202014
17 201913
18 201413
19 202211
20 202211

About Margo Barr

Margo Barr is a scholar working on General Health Professions, Sociology and Political Science, Epidemiology, Health and Statistics and Probability, having authored 54 papers that have together received 946 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (5 papers), Survey Methodology and Nonresponse (5 papers), Primary Care and Health Outcomes (4 papers), Mobile Health and mHealth Applications (4 papers), Statistical Methods and Bayesian Inference (4 papers), Health disparities and outcomes (4 papers), Intergenerational Family Dynamics and Caregiving (3 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (98 citations), Health (60 citations), Applied Psychology (35 citations), Modeling and Simulation (31 citations) and Clinical Psychology (127 citations). Margo Barr has collaborated with scholars based in Australia, Qatar and United States. Frequent co-authors include Melanie Taylor, Beverley Raphael, Garry Stevens, Kingsley Agho, Michael Giffin, Alison L Jones, Louisa Jorm, Wendy L. Watson, Andrew Milat and Sanja Lujic. Their work appears in journals such as BMJ Open, International Journal of Integrated Care, BMC Public Health, Cancer Epidemiology and JMIR mhealth and uhealth.

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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