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.
Countries citing papers authored by Didier Garriguet
Since
Specialization
Citations
This map shows the geographic impact of Didier Garriguet'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 Didier Garriguet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Garriguet more than expected).
Fields of papers citing papers by Didier Garriguet
This network shows the impact of papers produced by Didier Garriguet. 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 Didier Garriguet. The network helps show where Didier Garriguet may publish in the future.
Co-authorship network of co-authors of Didier Garriguet
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Garriguet.
A scholar is included among the top collaborators of Didier Garriguet 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 Didier Garriguet. Didier Garriguet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Colley, Rachel C., et al.. (2018). Reallocating time between sleep, sedentary and active behaviours: Associations with obesity and health in Canadian adults.. PubMed. 29(4). 3–13.96 indexed citations
2.
Garriguet, Didier. (2018). Accounting for misreporting when comparing energy intake across time in Canada.. PubMed. 29(5). 3–12.53 indexed citations
3.
Colley, Rachel C., Valerie Carson, Didier Garriguet, et al.. (2017). Physical activity of Canadian children and youth, 2007 to 2015.. PubMed. 28(10). 8–16.122 indexed citations
4.
Garriguet, Didier, Rachel C. Colley, & Tracey Bushnik. (2017). Parent-Child association in physical activity and sedentary behaviour.. PubMed. 28(6). 3–11.89 indexed citations
5.
Bushnik, Tracey, Didier Garriguet, & Rachel C. Colley. (2017). Parent-Child association in body weight status.. PubMed. 28(6). 12–19.14 indexed citations
6.
Garriguet, Didier. (2016). Using a Betabinomial distribution to estimate the prevalence of adherence to physical activity guidelines among children and youth.. PubMed. 27(4). 3–9.3 indexed citations
7.
Larouche, Richard, Didier Garriguet, Katie E. Gunnell, Gary S. Goldfield, & Mark S. Tremblay. (2016). Outdoor time, physical activity, sedentary time, and health indicators at ages 7 to 14: 2012/2013 Canadian Health Measures Survey.. PubMed. 27(9). 3–13.43 indexed citations
8.
Garriguet, Didier, et al.. (2016). Physical activity and sedentary behaviour of Canadian children aged 3 to 5.. PubMed. 27(9). 14–23.36 indexed citations
Garriguet, Didier, et al.. (2015). Comparison of Physical Activity Adult Questionnaire results with accelerometer data.. PubMed. 26(7). 11–7.53 indexed citations
11.
Garriguet, Didier & Rachel C. Colley. (2014). A comparison of self-reported leisure-time physical activity and measured moderate-to-vigorous physical activity in adolescents and adults.. PubMed. 25(7). 3–11.52 indexed citations
12.
Ramage-Morin, Pamela L & Didier Garriguet. (2013). Nutritional risk among older Canadians.. PubMed. 24(3). 3–13.59 indexed citations
Garriguet, Didier. (2006). Medication use among pregnant women.. PubMed. 17(2). 9–18.113 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.