Melissa S. Yale

1.4k citations
6 papers · 858 indexed · 1 hit paper · h-index 5
Topics
Science Education and Pedagogy (2 papers)Learning Styles and Cognitive Differences (1 paper)Teaching and Learning Programming (1 paper)
Partner nations
United States

In The Last Decade

Melissa S. Yale

6 papers receiving 808 citations

Hit Papers

Rasch Analysis in the Human Sciences20132026201720212013250500750

Peers

Melissa S. Yale
Comparison fields: 5 of 123
  • Education 443
  • Developmental and Educational Psychology 207
  • Social Psychology 143
  • Experimental and Cognitive Psychology 82
  • Sociology and Political Science 78
Replace Margaret Wu with:
Margaret Wu Australia
Per Engzell Sweden
Megan E. Welsh United States
Mijung Kim Canada
Mart van Dinther Netherlands
Suzanne M. Miller United States
Valsa Koshy United Kingdom
Habibah Elias Malaysia
Arun Frey United Kingdom
Mark E. Swerdlik United States
Melissa S. Yale relative to Margaret Wu Australia Margaret Wu's profile →
Citations per field
00.5×1.5×
Margaret Wu · 1×
Citations per year

Countries citing papers authored by Melissa S. Yale

Since Specialization
Citations

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

Fields of papers citing papers by Melissa S. Yale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa S. Yale. 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 Melissa S. Yale. The network helps show where Melissa S. Yale may publish in the future.

Co-authorship network of co-authors of Melissa S. Yale

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 4
3 28
4
Rasch Analysis in the Human Sciencesbreakdown →
797
5 22
6 6

About Melissa S. Yale

Melissa S. Yale is a scholar working on Software, Computer Science Applications and Developmental and Educational Psychology, having authored 6 papers that have together received 858 indexed citations. Recurring topics across this work include Science Education and Pedagogy (2 papers), Learning Styles and Cognitive Differences (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Developmental and Educational Psychology (207 citations), Education (443 citations) and Social Psychology (143 citations). Melissa S. Yale has collaborated with scholars based in United States. Frequent co-authors include William J. Boone, John R. Staver, Kevin D. Finson, Kerrie Douglas, Mark P. Haugan, Donna Farland‐Smith, Guangwei Zhu, Yung-Hsiang Lu and Deborah H. Bennett. Their work appears in journals such as Journal of Science Teacher Education, Physical Review Special Topics - Physics Education Research and DIAL (Catholic University of Leuven).

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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