R. J. De Ayala

1.2k total citations
38 papers, 832 citations indexed

About

R. J. De Ayala is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, R. J. De Ayala has authored 38 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 18 papers in Computer Networks and Communications and 6 papers in Statistics and Probability. Recurrent topics in R. J. De Ayala's work include Psychometric Methodologies and Testing (20 papers), Advanced Statistical Modeling Techniques (16 papers) and Behavioral and Psychological Studies (5 papers). R. J. De Ayala is often cited by papers focused on Psychometric Methodologies and Testing (20 papers), Advanced Statistical Modeling Techniques (16 papers) and Behavioral and Psychological Studies (5 papers). R. J. De Ayala collaborates with scholars based in United States. R. J. De Ayala's co-authors include Barbara G. Dodd, William R. Koch, Michael D. Toland, Do-Young Kim, James C. Impara, Barbara S. Plake, Seock‐Ho Kim, Laura M. Stapleton, C. Mitchell Dayton and Melody Hertzog and has published in prestigious journals such as Educational and Psychological Measurement, Multivariate Behavioral Research and Journal of School Psychology.

In The Last Decade

R. J. De Ayala

35 papers receiving 719 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. J. De Ayala United States 17 438 256 180 158 129 38 832
Barbara G. Dodd United States 18 493 1.1× 294 1.1× 130 0.7× 152 1.0× 137 1.1× 60 900
Michael L. Nering United States 12 409 0.9× 215 0.8× 138 0.8× 115 0.7× 137 1.1× 18 901
Bas T. Hemker Netherlands 11 277 0.6× 178 0.7× 134 0.7× 124 0.8× 74 0.6× 17 677
Cindy M. Walker United States 17 247 0.6× 134 0.5× 105 0.6× 174 1.1× 106 0.8× 39 980
T. C. Oshima United States 19 569 1.3× 331 1.3× 316 1.8× 123 0.8× 184 1.4× 42 982
Insu Paek United States 15 261 0.6× 146 0.6× 122 0.7× 148 0.9× 127 1.0× 51 654
Vicente Ponsoda Spain 16 401 0.9× 164 0.6× 100 0.6× 175 1.1× 259 2.0× 57 1.3k
Kentaro Yamamoto United States 17 294 0.7× 151 0.6× 137 0.8× 323 2.0× 95 0.7× 44 924
Cornelis A.W. Glas Netherlands 9 441 1.0× 214 0.8× 156 0.9× 168 1.1× 107 0.8× 26 876
Marcus Lieberman United States 7 309 0.7× 200 0.8× 241 1.3× 143 0.9× 77 0.6× 14 1.0k

Countries citing papers authored by R. J. De Ayala

Since Specialization
Citations

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

Fields of papers citing papers by R. J. De Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. J. De Ayala. 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 R. J. De Ayala. The network helps show where R. J. De Ayala may publish in the future.

Co-authorship network of co-authors of R. J. De Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of R. J. De Ayala. A scholar is included among the top collaborators of R. J. De Ayala 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 R. J. De Ayala. R. J. De Ayala 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
1.
Ayala, R. J. De, et al.. (2017). A Comparative Evaluation of Kernel Equating and Test Characteristic Curve Equating. Applied Psychological Measurement. 42(2). 155–168. 4 indexed citations
2.
Ayala, R. J. De, et al.. (2016). An introduction to mixture item response theory models. Journal of School Psychology. 60. 25–40. 26 indexed citations
3.
Ayala, R. J. De. (2013). Factor Analysis with Categorical Indicators : Item Response Theory. 220–254. 3 indexed citations
4.
Ayala, R. J. De. (2013). The IRT Tradition and its Applications. Oxford University Press eBooks. 16 indexed citations
5.
Kim, Doyoung, et al.. (2011). The Comparative Performance of Conditional Independence Indices. Applied Psychological Measurement. 35(6). 447–471. 22 indexed citations
6.
Ayala, R. J. De. (2008). A Commentary onHistorical Perspectives on Invariant Measurement: Guttman, Rasch, and Mokken. Measurement Interdisciplinary Research and Perspectives. 6(3). 209–212. 2 indexed citations
7.
Ayala, R. J. De. (2006). Estimating person locations from partial credit data containing missing responses.. PubMed. 7(3). 278–91. 4 indexed citations
8.
Dodd, Barbara G., et al.. (2002). An Investigation of the Validity of AP® Grades of 3 and a Comparison of AP and Non-AP Student Groups. Research Report No. 2002-9.. 1 indexed citations
9.
Ayala, R. J. De, et al.. (2001). The Effect of Error in Item Parameter Estimates on the Test Response Function Method of Linking. Applied Psychological Measurement. 25(1). 39–52. 20 indexed citations
10.
Ayala, R. J. De, et al.. (2000). The Effect of Omitted Responses on Ability Estimation in IRT.. 3 indexed citations
11.
Ayala, R. J. De, et al.. (1999). Item Parameter Recovery for the Nominal Response Model. Applied Psychological Measurement. 23(1). 3–19. 56 indexed citations
12.
Ayala, R. J. De, Seock‐Ho Kim, Laura M. Stapleton, & C. Mitchell Dayton. (1999). A Reconceptualization of Differential Item Functioning.. 5 indexed citations
13.
Ayala, R. J. De. (1995). The Influence of Dimensionality on Estimation in the Partial Credit Model. Educational and Psychological Measurement. 55(3). 407–422. 3 indexed citations
14.
Dodd, Barbara G., William R. Koch, & R. J. De Ayala. (1993). Computerized Adaptive Testing Using the Partial Credit Model: Effects Of Item Pool Characteristics and Different Stopping Rules. Educational and Psychological Measurement. 53(1). 61–77. 32 indexed citations
15.
Ayala, R. J. De, Barbara G. Dodd, & William R. Koch. (1992). A Comparison of the Partial Credit and Graded Response Models in Computerized Adaptive Testing. Applied Measurement in Education. 5(1). 17–34. 16 indexed citations
16.
Ayala, R. J. De. (1992). The Influence of Dimensionality on Cat Ability Estimation. Educational and Psychological Measurement. 52(3). 513–528. 7 indexed citations
17.
Ayala, R. J. De & Melody Hertzog. (1991). The Assessment of Dimensionality for Use in Item Response Theory. Multivariate Behavioral Research. 26(4). 765–792. 21 indexed citations
18.
Ayala, R. J. De. (1990). Assessing the fit of dichotomous item response theory models. Behavior Research Methods, Instruments, & Computers. 22(1). 80–81. 1 indexed citations
19.
Ayala, R. J. De. (1989). A Comparison of the Nominal Response Model and the Three-Parameter Logistic Model in Computerized Adaptive Testing. Educational and Psychological Measurement. 49(4). 789–805. 9 indexed citations
20.
Ayala, R. J. De & Melody Hertzog. (1989). A Comparison of Methods for Assessing Dimensionality for Use in Item Response Theory.. 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.

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