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.
A self-determination theory approach to predicting school achievement over time: the unique role of intrinsic motivation
2014497 citationsGeneviève Taylor, Tomas Jungert et al.Contemporary Educational Psychologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Helena Dedic'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 Helena Dedic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Dedic more than expected).
This network shows the impact of papers produced by Helena Dedic. 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 Helena Dedic. The network helps show where Helena Dedic may publish in the future.
Co-authorship network of co-authors of Helena Dedic
This figure shows the co-authorship network connecting the top 25 collaborators of Helena Dedic.
A scholar is included among the top collaborators of Helena Dedic 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 Helena Dedic. Helena Dedic is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dedic, Helena, et al.. (2015). Online assessments and interactive classroom sessions : a potent prescription for ailing success rates in social science calculus /. Bibliothèque et Archives nationales du Québec (Québec government).
4.
Aulls, Mark W., et al.. (2015). Exploring Student Persistence in STEM Programs: A Motivational Model. Canadian Journal of Education / Revue canadienne de l éducation. 38(1). 1–27.60 indexed citations
5.
Taylor, Geneviève, Tomas Jungert, Geneviève A. Mageau, et al.. (2014). A self-determination theory approach to predicting school achievement over time: the unique role of intrinsic motivation. Contemporary Educational Psychology. 39(4). 342–358.497 indexed citations breakdown →
6.
Dedic, Helena, et al.. (2014). Just Computer Aided Instruction Is Not Enough: Combining WeBWorK with In-Class Interactive Sessions Increases Achievement and Perseverance of Social Science Calculus Students. Bibliothèque et Archives nationales du Québec (Québec government).2 indexed citations
Dedic, Helena, Steven Rosenfield, Nathaniel Lasry, et al.. (2010). Are All Wrong FCI Answers Equivalent?. AIP conference proceedings. 125–128.9 indexed citations
11.
Jungert, Tomas, Helena Dedic, & Steven Rosenfield. (2009). Model of how cognitive style impacts differentially by gender on achievement and perseverance in SMET studies. 133.2 indexed citations
12.
Dedic, Helena, et al.. (2008). Online Assignments and Interactive Classroom Sessions: A Potent Prescription for Ailing Success Rates in Calculus.1 indexed citations
13.
Dedic, Helena. (2004). Calculus and computer-supported collaborative learning /. Bibliothèque et Archives nationales du Québec (Québec government).
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.