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.
Qualitative research: Analysis types and software tools
19911.5k citationsJeffrey S. BeaudryEvaluation Practiceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Jeffrey S. Beaudry
Since
Specialization
Citations
This map shows the geographic impact of Jeffrey S. Beaudry'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 Jeffrey S. Beaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Beaudry more than expected).
Fields of papers citing papers by Jeffrey S. Beaudry
This network shows the impact of papers produced by Jeffrey S. Beaudry. 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 Jeffrey S. Beaudry. The network helps show where Jeffrey S. Beaudry may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Beaudry
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Beaudry.
A scholar is included among the top collaborators of Jeffrey S. Beaudry 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 Jeffrey S. Beaudry. Jeffrey S. Beaudry is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beaudry, Jeffrey S., et al.. (2017). The Gallery Walk: Educators Step up to Build Assessment Literacy.. 38(6). 48–53.5 indexed citations
3.
Beaudry, Jeffrey S. & Lynne Miller. (2016). Research Literacy: A Primer for Understanding and Using Research.37 indexed citations
4.
Beaudry, Jeffrey S., et al.. (2013). Understanding Students’ Online Communication Preferences and the Affordances of VoiceThread for Formative Assessment in Online Teaching. Society for Information Technology & Teacher Education International Conference. 2013(1). 2163–2170.2 indexed citations
5.
Campbell, James Reed & Jeffrey S. Beaudry. (1998). Gender gap linked to differential socialization for high-achieving 11th grade math students.. The Journal of Educational Research. 91(3).
Beaudry, Jeffrey S. & James Earl Davis. (1997). Evaluating the Results of Multicultural Education: Taking the Long Way Home.1 indexed citations
8.
Beaudry, Jeffrey S., et al.. (1996). The Condition of K-12 public education in Maine 1996.1 indexed citations
9.
Sinatra, Richard, et al.. (1994). Using a computer-based semantic mapping, reading, and writing approach with at-risk fourth graders. 5(1). 93–112.10 indexed citations
Sinatra, Richard, et al.. (1990). Combining visual literacy, text understanding, and writing for culturally diverse students.. The Journal of Reading. 33(8).12 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.