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.
Gamified learning in higher education: A systematic review of the literature
2018481 citationsElizabeth A. Cudney et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Elizabeth A. Cudney
Since
Specialization
Citations
This map shows the geographic impact of Elizabeth A. Cudney'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 Elizabeth A. Cudney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth A. Cudney more than expected).
Fields of papers citing papers by Elizabeth A. Cudney
This network shows the impact of papers produced by Elizabeth A. Cudney. 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 Elizabeth A. Cudney. The network helps show where Elizabeth A. Cudney may publish in the future.
Co-authorship network of co-authors of Elizabeth A. Cudney
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth A. Cudney.
A scholar is included among the top collaborators of Elizabeth A. Cudney 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 Elizabeth A. Cudney. Elizabeth A. Cudney is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Antony, Jiju, Vijaya Sunder M, Chad Laux, & Elizabeth A. Cudney. (2019). The Ten Commandments of Lean Six Sigma. Digital Eprints Services at ISB (DESI) (Indian School of Business).6 indexed citations
Cudney, Elizabeth A., et al.. (2017). Evaluating the Impact of Teaching Methods on Student Motivation. Journal of STEM education. 18(1). 32–49.12 indexed citations
15.
Cudney, Elizabeth A., et al.. (2017). Retention Models for STEM Majors and Alignment to Community Colleges: A Review of the Literature.. Journal of STEM education. 18(3). 48–57.10 indexed citations
16.
Cudney, Elizabeth A., et al.. (2016). Fostering Individual, Organizational, and Societal Success. Journal for Quality and Participation. 39.3 indexed citations
17.
Cudney, Elizabeth A., et al.. (2013). Employing Project-based Learning in Six Sigma Education. Journal for Quality and Participation. 36.13 indexed citations
18.
Long, Suzanna & Elizabeth A. Cudney. (2012). Integration of energy and environmental systems in wastewater treatment plants. 3(4). 521–530.6 indexed citations
19.
Cudney, Elizabeth A., et al.. (2009). A Comparison of the Mahalanobis-Taguchi System to A Standard Statistical Method for Defect Detection. Journal of industrial and systems engineering.. 2(4). 250–258.26 indexed citations
20.
Cudney, Elizabeth A., et al.. (2007). An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition. Journal of industrial and systems engineering.. 1(2). 139–150.44 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.