Mairead Shaw

464 total citations
10 papers, 296 citations indexed

About

Mairead Shaw is a scholar working on Epidemiology, Experimental and Cognitive Psychology and Surgery. According to data from OpenAlex, Mairead Shaw has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Experimental and Cognitive Psychology and 1 paper in Surgery. Recurrent topics in Mairead Shaw's work include Mental Health Research Topics (3 papers), Meta-analysis and systematic reviews (1 paper) and Influenza Virus Research Studies (1 paper). Mairead Shaw is often cited by papers focused on Mental Health Research Topics (3 papers), Meta-analysis and systematic reviews (1 paper) and Influenza Virus Research Studies (1 paper). Mairead Shaw collaborates with scholars based in Canada, United States and Netherlands. Mairead Shaw's co-authors include Jessica Kay Flake, Nancy J. Cox, Margaret Okomo‐Adhiambo, Candice A. Smith, Varough Deyde, Alicia M. Fry, Tiffany G. Sheu, Carolyn B. Bridges, Josephine L. Barnes and A. Klimov and has published in prestigious journals such as MMWR Morbidity and Mortality Weekly Report, Behavior Research Methods and The Journal of Laryngology & Otology.

In The Last Decade

Mairead Shaw

9 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mairead Shaw Canada	6	167	48	39	39	32	10	296
Wei Yen Lim Singapore	14	165 1.0×	81 1.7×	21 0.5×	4 0.1×	35 1.1×	26	445
Faith DiBiasi United States	7	87 0.5×	13 0.3×	36 0.9×	7 0.2×	13 0.4×	8	442
Jochen Peters Germany	7	48 0.3×	41 0.9×	73 1.9×	6 0.2×	26 0.8×	10	231
Lijun Zhou China	10	66 0.4×	56 1.2×	7 0.2×	37 0.9×	9 0.3×	24	302
Katherine Sánchez Australia	9	321 1.9×	59 1.2×	196 5.0×	25 0.6×	18 0.6×	19	564
Muhammad Amin Indonesia	11	61 0.4×	60 1.3×	90 2.3×	9 0.2×	26 0.8×	72	417
Lobna S. Sherif Egypt	11	100 0.6×	79 1.6×	45 1.2×	2 0.1×	17 0.5×	32	295
Þorsteinn Blöndal Iceland	5	48 0.3×	17 0.4×	14 0.4×	9 0.2×	54 1.7×	11	199
Marshall Lee United States	10	102 0.6×	63 1.3×	17 0.4×	4 0.1×	28 0.9×	21	481
О. S. Kobyakova Russia	9	120 0.7×	14 0.3×	17 0.4×	3 0.1×	14 0.4×	110	284

Countries citing papers authored by Mairead Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Mairead Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mairead Shaw

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

All Works

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10 of 10 papers shown

1.

Shaw, Mairead & Jessica Kay Flake. (2023). Digital Module 34: Introduction to Multilevel Measurement Modeling. Educational Measurement Issues and Practice. 42(4). 82–82. 1 indexed citations

2.

Shaw, Mairead, et al.. (2022). r2mlm: An R package calculating R-squared measures for multilevel models. Behavior Research Methods. 55(4). 1942–1964. 39 indexed citations

3.

Sun, Shuo, Mairead Shaw, Erica E. M. Moodie, & Derek Ruths. (2022). The epidemiological impact of the Canadian COVID Alert app. Canadian Journal of Public Health. 113(4). 519–527. 8 indexed citations

4.

Shaw, Mairead, et al.. (2022). Scouting Automated Ratings Analyzing Habits (SARAH): A Statistical Methodology for Scouting and Player Development. Linköping electronic conference proceedings. 191. 37–48. 1 indexed citations

5.

Dawson, Camilla, Ian O. Ellis, Sue Matthews, et al.. (2020). Dysphagia presentation and management following coronavirus disease 2019: an acute care tertiary centre experience. The Journal of Laryngology & Otology. 134(11). 981–986. 52 indexed citations

6.

Shaw, Mairead, et al.. (2020). Improving uptake of cervical cancer screening services for women living with HIV and attending chronic care services in rural Malawi. BMJ Open Quality. 9(3). e000892–e000892. 5 indexed citations

7.

Shaw, Mairead, et al.. (2020). Measurement practices in large-scale replications: Insights from Many Labs 2.. Canadian Psychology/Psychologie canadienne. 61(4). 289–298. 19 indexed citations

8.

Shaw, Mairead, Jason D. Rights, Sonya K. Sterba, & Jessica Kay Flake. (2020). R-Squared Measures for Multilevel Models [R package r2mlm version 0.2.0]. 1 indexed citations

9.

Gubareva, Larisa V., Margaret Okomo‐Adhiambo, Varough Deyde, et al.. (2009). Update: drug susceptibility of swine-origin influenza A (H1N1) viruses, April 2009.. MMWR Morbidity and Mortality Weekly Report. 58(16). 433–435. 170 indexed citations

10.

Shaw, Mairead, et al.. (1970). The Hessian fly.. 49(3). 130–132.

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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