Craig S. Wells

757 citations
41 papers · 488 indexed · h-index 14

Craig S. Wells

40 papers receiving 446 citations

Peers

Craig S. Wells
Comparison fields: 5 of 87
  • Management Science and Operations Research 229
  • Statistics and Probability 100
  • Developmental and Educational Psychology 87
  • Computer Networks and Communications 123
  • Experimental and Cognitive Psychology 70
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Mary Pommerich United States
Gary Skaggs United States
Sébastien Béland Canada
Karen Draney United States
Jesper Tijmstra Netherlands
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Citations per year

Countries citing papers authored by Craig S. Wells

Since Specialization
Citations

This map shows the geographic impact of Craig S. Wells'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 Craig S. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig S. Wells more than expected).

Fields of papers citing papers by Craig S. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig S. Wells. 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 Craig S. Wells. The network helps show where Craig S. Wells may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Craig S. Wells, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Craig S. Wells Line = papers co-authored together Craig S. Wells links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20234
4 20203
5 20209
6 20208
7 20183
8 201714
9 20175
10 20156
11 20144
12 201411
13
Detecting DIF in Polytomous Items Using MACS, IRT and Ordinal Logistic Regression
20139
14 201316
15
IRT models for the analysis of polytomously scored data: Brief and selected history of model building advances
201036
16
A Comparison of Linear and Nonlinear Factor Analysis in Examining the Effect of a Calculator Accommodation on Math Performance
20101
17 20095
18 200915
19 200348
20 200111

About Craig S. Wells

Craig S. Wells is a scholar working on Management Science and Operations Research, Statistics and Probability and Developmental and Educational Psychology, having authored 41 papers that have together received 488 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (21 papers), Advanced Statistical Modeling Techniques (12 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Educational and Psychological Assessments (6 papers), Reading and Literacy Development (5 papers), Student Assessment and Feedback (3 papers), Grit, Self-Efficacy, and Motivation (3 papers) and Reliability and Agreement in Measurement (3 papers). The work is most often cited by research in Management Science and Operations Research (229 citations), Statistics and Probability (100 citations) and Developmental and Educational Psychology (87 citations). Craig S. Wells has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Stephen G. Sireci, Michael J. Subkoviak, Ronald C. Serlin, Allan S. Cohen, Ronald K. Hambleton, John M. Hintze, James A. Wollack, Tie Liang, Kyung T. Han and Wim J. van der Linden. Their work appears in journals such as SHILAP Revista de lepidopterología, American Educational Research Journal and Educational and Psychological Measurement.

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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