Elizabeth A. Cudney

158 papers receiving 2.8k citations

Hit Papers

Gamified learning in higher education: A systematic revie...20182026202020232018100200300400

Peers

Elizabeth A. Cudney
Comparison fields: 5 of 155
  • Management Information Systems 1.2k
  • Strategy and Management 1.0k
  • Management Science and Operations Research 460
  • Industrial and Manufacturing Engineering 426
  • Developmental and Educational Psychology 366
Replace Tuure Tuunanen with:
Tuure Tuunanen Finland
Lincoln C. Wood New Zealand
Álvaro Rocha Portugal
Marcus A. Rothenberger United States
Dimitris Apostolou Greece
Navonil Mustafee United Kingdom
Tobias Mettler Switzerland
Steven Alter United States
Kai Petersen Sweden
Elizabeth A. Cudney relative to Tuure Tuunanen Finland Tuure Tuunanen's profile →
Citations per field
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Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 7
4 4
5 9
6 21
7 7
8 4
9 13
10 16
11 41
12 18
13 21
14 5
15 3
16 71
17 107
18
Expert Perspectives on the Future of the Quality Profession and its Practitioners
1
19 1
20
Predicting Customer-Expectation-Based Warranty Cost for Smaller-the-Better and Larger-the-Better Performance Characteristics
4

About Elizabeth A. Cudney

Elizabeth A. Cudney is a scholar working on Management Information Systems, Medical Laboratory Technology and Management Science and Operations Research, having authored 168 papers that have together received 3.0k indexed citations. Recurring topics across this work include Quality and Supply Management (59 papers), Quality and Management Systems (24 papers) and Optimal Experimental Design Methods (23 papers). The work is most often cited by research in Management Information Systems (1.2k citations), Strategy and Management (1.0k citations) and Medical Laboratory Technology (74 citations). Elizabeth A. Cudney has collaborated with scholars based in United States, United Kingdom and United Arab Emirates. Frequent co-authors include Jiju Antony, Cassandra C. Elrod, Bryan Rodgers, K. M. Ragsdell, Steven Corns, Sandra L. Furterer, Shreeranga Bhat, Vikas Swarnakar, Subrata Talapatra and David Dietrich. Their work appears in journals such as European Journal of Operational Research, Computers in Human Behavior and Sustainability.

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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