James A. Wollack

1.1k total citations
42 papers, 779 citations indexed

About

James A. Wollack is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, James A. Wollack has authored 42 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 17 papers in Statistics and Probability and 11 papers in Computer Networks and Communications. Recurrent topics in James A. Wollack's work include Psychometric Methodologies and Testing (25 papers), Advanced Statistical Modeling Techniques (11 papers) and Statistical Methods and Bayesian Inference (9 papers). James A. Wollack is often cited by papers focused on Psychometric Methodologies and Testing (25 papers), Advanced Statistical Modeling Techniques (11 papers) and Statistical Methods and Bayesian Inference (9 papers). James A. Wollack collaborates with scholars based in United States, Denmark and United Kingdom. James A. Wollack's co-authors include Allan S. Cohen, Daniel M. Bolt, Seock‐Ho Kim, Craig S. Wells, Paul De Boeck, Young‐Sun Lee, Yuri Goegebeur, Youngsuk Suh, Jeffrey A. Douglas and Sun‐Joo Cho and has published in prestigious journals such as Frontiers in Psychology, Psychometrika and Educational and Psychological Measurement.

In The Last Decade

James A. Wollack

38 papers receiving 700 citations

Peers

James A. Wollack
Richard J. Patz United States
Bradley A. Hanson United States
Laine Bradshaw United States
Anton A. Béguin Netherlands
Hong Jiao United States
G. Gage Kingsbury United States
Yi‐Hsuan Lee United States
Marilyn S. Wingersky United States
Deborah J. Harris United States
Daniel O. Segall United States
Richard J. Patz United States
James A. Wollack
Citations per year, relative to James A. Wollack James A. Wollack (= 1×) peers Richard J. Patz

Countries citing papers authored by James A. Wollack

Since Specialization
Citations

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

Fields of papers citing papers by James A. Wollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Wollack. 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 James A. Wollack. The network helps show where James A. Wollack may publish in the future.

Co-authorship network of co-authors of James A. Wollack

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Wollack. A scholar is included among the top collaborators of James A. Wollack 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 James A. Wollack. James A. Wollack 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.
Wollack, James A., et al.. (2023). A Machine Learning Approach for the Simultaneous Detection of Preknowledge in Examinees and Items When Both Are Unknown. Educational Measurement Issues and Practice. 42(1). 76–98. 4 indexed citations
2.
Bolt, Daniel M., et al.. (2022). Noncompensatory MIRT For Passage-Based Tests. Psychometrika. 87(3). 992–1009. 2 indexed citations
3.
Wollack, James A., et al.. (2022). Using Item Scores and Distractors in Person‐Fit Assessment. Journal of Educational Measurement. 60(1). 3–27. 9 indexed citations
4.
Wollack, James A., et al.. (2022). Generating Models for Item Preknowledge. Journal of Educational Measurement. 59(1). 22–42. 6 indexed citations
5.
Wollack, James A., et al.. (2021). An Unsupervised‐Learning‐Based Approach to Compromised Items Detection. Journal of Educational Measurement. 58(3). 413–433. 5 indexed citations
6.
Belov, Dmitry I. & James A. Wollack. (2021). Graph Theory Approach to Detect Examinees Involved in Test Collusion. Applied Psychological Measurement. 45(4). 253–267. 7 indexed citations
7.
Bolt, Daniel M., et al.. (2019). A Psychometric Model for Discrete-Option Multiple-Choice Items. Applied Psychological Measurement. 44(1). 33–48. 6 indexed citations
8.
Bolt, Daniel M., et al.. (2018). Application of Asymmetric IRT Modeling to Discrete-Option Multiple-Choice Test Items. Frontiers in Psychology. 9. 2175–2175. 7 indexed citations
9.
Wollack, James A., et al.. (2016). Detection of Test Collusion using Cluster Analysis. 4 indexed citations
10.
Wollack, James A., et al.. (2015). Detecting Test Tampering Using Item Response Theory. Educational and Psychological Measurement. 75(6). 931–953. 20 indexed citations
11.
Lee, Young Sun, James A. Wollack, & Jeffrey A. Douglas. (2008). On the Use of Nonparametric Item Characteristic Curve Estimation Techniques for Checking Parametric Model Fit. Educational and Psychological Measurement. 69(2). 181–197. 14 indexed citations
12.
Goegebeur, Yuri, Paul De Boeck, James A. Wollack, & Allan S. Cohen. (2007). A Speeded Item Response Model with Gradual Process Change. Psychometrika. 73(1). 65–87. 55 indexed citations
13.
Park, Chanho, Taehoon Kang, & James A. Wollack. (2007). Application of Multilevel IRT to Multiple-Form Linking When Common Items Are Drifted. 1 indexed citations
14.
Wollack, James A.. (2006). Simultaneous Use of Multiple Answer Copying Indexes to Improve Detection Rates. Applied Measurement in Education. 19(4). 265–288. 16 indexed citations
15.
Bolt, Daniel M., et al.. (2005). A New Multi-Class Mixture Rasch Model for Test Speededness. 5 indexed citations
16.
Cohen, Allan S. & James A. Wollack. (2003). Handbook on Test Development: Helpful Tips for Creating Reliable and Valid Classroom Tests. 4 indexed citations
17.
Wollack, James A.. (2003). Comparison of Answer Copying Indices with Real Data. Journal of Educational Measurement. 40(3). 189–205. 22 indexed citations
18.
Wollack, James A., Allan S. Cohen, & Craig S. Wells. (2003). A Method for Maintaining Scale Stability in the Presence of Test Speededness. Journal of Educational Measurement. 40(4). 307–330. 48 indexed citations
19.
Wollack, James A. & Daniel M. Bolt. (2002). A Mixture Rasch Model Analysis of Test Speededness. 3 indexed citations
20.
Cohen, Allan S., Seock‐Ho Kim, & James A. Wollack. (1998). A Comparison of Item Response Theory and Observed Score DIF Detection Measures for the Graded Response Model..

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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