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.
Structural equation modeling with AMOS: basic concepts, applications, and programming
200014.5k citationsBarbara M. ByrneCERN Bulletinprofile →
Countries citing papers authored by Barbara M. Byrne
Since
Specialization
Citations
This map shows the geographic impact of Barbara M. Byrne'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 Barbara M. Byrne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara M. Byrne more than expected).
Fields of papers citing papers by Barbara M. Byrne
This network shows the impact of papers produced by Barbara M. Byrne. 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 Barbara M. Byrne. The network helps show where Barbara M. Byrne may publish in the future.
Co-authorship network of co-authors of Barbara M. Byrne
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara M. Byrne.
A scholar is included among the top collaborators of Barbara M. Byrne 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 Barbara M. Byrne. Barbara M. Byrne is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Byrne, Barbara M.. (2000). Structural equation modeling with AMOS: basic concepts, applications, and programming. CERN Bulletin.14547 indexed citations breakdown →
Franke, George R. & Barbara M. Byrne. (1995). Structural Equation Modeling with EQS and EQS/Windows. Journal of Marketing Research. 32(3). 378–378.972 indexed citations breakdown →
13.
Byrne, Barbara M.. (1994). Structural Equation Modeling with EQS and EQS/WINDOWS: Basic Concepts, Applications, and Programming. Medical Entomology and Zoology. 6(5). 495–504.1293 indexed citations breakdown →
14.
Byrne, Barbara M. & Pierre Baron. (1993). The Beck Depression Inventory: Testing and Cross-Validating a Hierarchical Factor Structure for Nonclinical Adolescents.. Measurement and Evaluation in Counseling and Development. 26(3).49 indexed citations
15.
Byrne, Barbara M.. (1992). Investigating Causal Links to Burnout for Elementary, Intermediate, and Secondary Teachers..11 indexed citations
16.
Byrne, Barbara M.. (1992). The Maslach Burnout Inventory: Testing for Invariant Factorial Structure across Gender for Elementary and Secondary Teachers..2 indexed citations
17.
Byrne, Barbara M., Richard J. Shavelson, & Bengt Muthén. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance.. Psychological Bulletin. 105(3). 456–466.2980 indexed citations breakdown →
Byrne, Barbara M.. (1987). Multitrait-Multimethod Analyses of Three Self-Concept Scales: Testing Equivalencies of Construct Validity across ability..1 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.