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.
The Performance of RMSEA in Models With Small Degrees of Freedom
20141.7k citationsD. Betsy McCoach et al.profile →
Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling
Countries citing papers authored by D. Betsy McCoach
Since
Specialization
Citations
This map shows the geographic impact of D. Betsy McCoach'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 D. Betsy McCoach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Betsy McCoach more than expected).
Fields of papers citing papers by D. Betsy McCoach
This network shows the impact of papers produced by D. Betsy McCoach. 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 D. Betsy McCoach. The network helps show where D. Betsy McCoach may publish in the future.
Co-authorship network of co-authors of D. Betsy McCoach
This figure shows the co-authorship network connecting the top 25 collaborators of D. Betsy McCoach.
A scholar is included among the top collaborators of D. Betsy McCoach 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 D. Betsy McCoach. D. Betsy McCoach is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gubbins, E. Jean, Del Siegle, Jeb S. Puryear, et al.. (2018). Exploratory Study on the Identification of English Learners for Gifted and Talented Programs.. Grantee Submission.4 indexed citations
5.
Briesch, Amy M., et al.. (2018). Factorial Invariance of the Usage Rating Profile for Supporting Students' Behavioral Needs (URP-NEEDS).. Grantee Submission.1 indexed citations
Mun, Rachel U., Susan Dulong Langley, E. Jean Gubbins, et al.. (2016). Effective Practices for Identifying and Serving English Learners in Gifted Education: A Systematic Review of Literature.. Grantee Submission.12 indexed citations
McCoach, D. Betsy, et al.. (2013). Evaluating the Efficacy of Using Pre-Differentiated and Enriched Mathematics Curricula for Grade 3 Students.. Society for Research on Educational Effectiveness.1 indexed citations
Goldstein, Jessica & D. Betsy McCoach. (2011). The Starting Line: Developing a Structure for Teacher Ratings of Students' Skills at Kindergarten Entry.. 13(2).10 indexed citations
García-Cepero, María Caridad & D. Betsy McCoach. (2009). Educators' Implicit Theories of Intelligence and Beliefs about the Identification of Gifted Students. Universitas Psychologica. 8(2). 295–310.30 indexed citations
Siegle, Del, et al.. (2001). Instructional WebBoard Strategies in Secondary Education and University Teaching. American Educational Research Association Annual Meeting. 2001(1).3 indexed citations
20.
McCoach, D. Betsy & Del Siegle. (2001). A Comparison of High Achievers' and Low Achievers' Attitudes, Perceptions, and Motivations. Academic exchange quarterly. 5(2). 71.53 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.