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.
Computational thinking for youth in practice
2011528 citationsIrene Lee, Fred Martin et al.ACM Inroadsprofile →
Countries citing papers authored by Joyce Malyn‐Smith
Since
Specialization
Citations
This map shows the geographic impact of Joyce Malyn‐Smith'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 Joyce Malyn‐Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joyce Malyn‐Smith more than expected).
Fields of papers citing papers by Joyce Malyn‐Smith
This network shows the impact of papers produced by Joyce Malyn‐Smith. 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 Joyce Malyn‐Smith. The network helps show where Joyce Malyn‐Smith may publish in the future.
Co-authorship network of co-authors of Joyce Malyn‐Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Joyce Malyn‐Smith.
A scholar is included among the top collaborators of Joyce Malyn‐Smith 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 Joyce Malyn‐Smith. Joyce Malyn‐Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Webb, Mary, A Fluck, Marie‐France Deschênes, et al.. (2019). Thematic Working Group 4 - State of the Art in Thinking About Machine Learning: Implications for Education. Figshare.3 indexed citations
Malyn‐Smith, Joyce, et al.. (2017). Building the Foundational Skills Needed for Success in Work at the Human-Technology Frontier..4 indexed citations
10.
Fluck, A, Mary Webb, Margaret Cox, et al.. (2016). Arguing for computer science in the school curriculum. Educational Technology & Society. 19(3). 38–46.36 indexed citations
11.
Angeli, Charoula, Joke Voogt, A Fluck, et al.. (2016). A K-6 Computational Thinking Curriculum Framework. Educational Technology & Society. 19.1 indexed citations
Webb, Mary, A Fluck, Martha J. Cox, et al.. (2015). Curriculum - Advancing understanding of the roles of computer science/informatics in the curriculum. eCite Digital Repository (University of Tasmania).2 indexed citations
15.
Webb, Mary, et al.. (2015). Thematic Working Group 9: Curriculum - Advancing Understanding of the Roles of Computer Science/Informatics in the Curriculum. Research Portal (King's College London). 60–69.4 indexed citations
16.
Malyn‐Smith, Joyce. (2014). A Program Director’s Guide to Evaluating STEM Education Programs: Lessons Learned from Local, State, and National Initiatives. Society for Information Technology & Teacher Education International Conference. 2014(1). 1774–1775.2 indexed citations
Lee, Irene, Fred Martin, Jill Denner, et al.. (2011). Computational thinking for youth in practice. ACM Inroads. 2(1). 32–37.528 indexed citations breakdown →
19.
Malyn‐Smith, Joyce, Bob Coulter, Jill Denner, et al.. (2010). Computational Thinking in K-12: Defining the Space. Society for Information Technology & Teacher Education International Conference. 2010(1). 3479–3484.2 indexed citations
20.
Malyn‐Smith, Joyce, et al.. (2010). The Innovative Technology Experiences for Students and Teachers (ITEST) Program: Teachers developing the next generation of STEM talent. The Journal of Technology and Teacher Education. 18(2). 187–201.2 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.