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.
Effects of Parental Involvement on Eighth-Grade Achievement
1996747 citationsJ. Douglas Willms et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by J. Douglas Willms
Since
Specialization
Citations
This map shows the geographic impact of J. Douglas Willms'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 J. Douglas Willms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Douglas Willms more than expected).
Fields of papers citing papers by J. Douglas Willms
This network shows the impact of papers produced by J. Douglas Willms. 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 J. Douglas Willms. The network helps show where J. Douglas Willms may publish in the future.
Co-authorship network of co-authors of J. Douglas Willms
This figure shows the co-authorship network connecting the top 25 collaborators of J. Douglas Willms.
A scholar is included among the top collaborators of J. Douglas Willms 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 J. Douglas Willms. J. Douglas Willms 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.
Wagner, Daniel A., Sharon Wolf, Robert F. Boruch, et al.. (2018). Learning at the bottom of the pyramid: science, measurement, and policy in low-income countries. MINISTERIO DE EDUCACIÓN.12 indexed citations
2.
Tramonte, Lucía, et al.. (2015). Equivalence of Testing Instruments in Canada: Studying Item Bias in a Cross-Cultural Assessment for Preschoolers. Canadian Journal of Education / Revue canadienne de l éducation. 38(3). 1–23.2 indexed citations
Willms, J. Douglas. (2009). Pre-School Kids Benefit from New Skills Assessments.. Education Canada. 49(5). 36–39.1 indexed citations
5.
Daniel, H., James Ted McDonald, & J. Douglas Willms. (2009). Socio‐economic Status and Academic Achievement Trajectories from Childhood to Adolescence. Canadian Journal of Education / Revue canadienne de l éducation. 32(3). 558–590.168 indexed citations
Willms, J. Douglas. (2005). Why the Difference? Variation in Reading Scores among Canadian Provinces.. Education Canada. 45(1). 54–55.1 indexed citations
Willms, J. Douglas. (2002). Vulnerable Children and Youth.. Education Canada. 42(3). 40–43.5 indexed citations
16.
Tremblay, Mark S. & J. Douglas Willms. (2001). Obesity in Canadian children. Canadian Medical Association Journal. 164(11). 1564–1565.1 indexed citations
17.
Ehrenberg, Ronald G., Dominic J. Brewer, Adam Gamoran, & J. Douglas Willms. (2001). Does Class Size Matter?. Scientific American. 285(5). 78–85.30 indexed citations
18.
Tremblay, Mark S. & J. Douglas Willms. (2000). Secular trends in the body mass index of Canadian children.. PubMed. 163(11). 1429–33.357 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.