Brian W. Junker

5.4k total citations · 1 hit paper
69 papers, 3.2k citations indexed

About

Brian W. Junker is a scholar working on Statistics and Probability, Management Science and Operations Research and Education. According to data from OpenAlex, Brian W. Junker has authored 69 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 18 papers in Management Science and Operations Research and 16 papers in Education. Recurrent topics in Brian W. Junker's work include Psychometric Methodologies and Testing (17 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Statistical Modeling Techniques (11 papers). Brian W. Junker is often cited by papers focused on Psychometric Methodologies and Testing (17 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Statistical Modeling Techniques (11 papers). Brian W. Junker collaborates with scholars based in United States, Netherlands and Australia. Brian W. Junker's co-authors include Klaas Sijtsma, Richard J. Patz, Ivo W. Molenaar, Bas T. Hemker, Jules L. Ellis, Matthew Johnson, Louis T. Mariano, Gary Glonek, J. N. Darroch and Stephen E. Fienberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and American Journal of Epidemiology.

In The Last Decade

Brian W. Junker

66 papers receiving 2.8k citations

Hit Papers

Cognitive Assessment Models with Few Assumptions, and Con... 2001 2026 2009 2017 2001 200 400 600

Peers

Brian W. Junker
Sandip Sinharay United States
Jonathan Templin United States
Matthias von Davier United States
Allan S. Cohen United States
Robert A. Henson United States
Neil J. Dorans United States
Kikumi K. Tatsuoka United States
Jean‐Paul Fox Netherlands
Mark D. Reckase United States
William Stout United States
Sandip Sinharay United States
Brian W. Junker
Citations per year, relative to Brian W. Junker Brian W. Junker (= 1×) peers Sandip Sinharay

Countries citing papers authored by Brian W. Junker

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. Junker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian W. Junker. 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 Brian W. Junker. The network helps show where Brian W. Junker may publish in the future.

Co-authorship network of co-authors of Brian W. Junker

This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Junker. A scholar is included among the top collaborators of Brian W. Junker 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 Brian W. Junker. Brian W. Junker 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.
Molsberry, Samantha, Fabrizio Lecci, Brian W. Junker, et al.. (2019). Brain structural correlates of trajectories to cognitive impairment in men with and without HIV disease. Brain Imaging and Behavior. 14(3). 821–829. 11 indexed citations
2.
Junker, Brian W., et al.. (2018). Model Specification for Cognitive Assessment of Proportional Reasoning. Figshare. 1 indexed citations
3.
Fienberg, Stephen E., et al.. (2018). Analysis of a Web-based Network of Educators. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
4.
Molsberry, Samantha, Fabrizio Lecci, Lawrence Kingsley, et al.. (2015). Mixed membership trajectory models of cognitive impairment in the multicenter AIDS cohort study. AIDS. 29(6). 713–721. 22 indexed citations
5.
Junker, Brian W., et al.. (2014). Predictive Inference Using Latent Variables with Covariates. Psychometrika. 80(3). 727–747. 16 indexed citations
6.
Junker, Brian W., et al.. (2012). The use of cognitive ability measures as explanatory variables in regression analysis. PubMed. 1(1). 20 indexed citations
7.
Kaufman, Julia H. & Brian W. Junker. (2011). What Drives Alignment between Teachers' Survey Self-Reports and Classroom Observations of Standards-Based Mathematics Instruction?.. Society for Research on Educational Effectiveness. 1 indexed citations
8.
Matsumura, Lindsay Clare, Helen Garnier, Brian W. Junker, Lauren Β. Resnick, & Donna DiPrima Bickel. (2009). The Influence of Content-Focused Coaching[R] on Reading Comprehension Instruction and Student Achievement.. Society for Research on Educational Effectiveness. 2 indexed citations
9.
Matsumura, Lindsay Clare, Sharon Cadman Slater, Brian W. Junker, et al.. (2006). Measuring reading comprehension and mathematics instruction in urban middle schools: A pilot study of the Instructional Quality Assessment (CSE Technical Report 681). D-Scholarship@Pitt (University of Pittsburgh). 16 indexed citations
10.
Matsumura, Lindsay Clare, Sharon Cadman Slater, Mikyung Kim Wolf, et al.. (2006). Using the Instructional Quality Assessment toolkit to investigate the quality of reading comprehension assignments and student work (CSE Report 669). D-Scholarship@Pitt (University of Pittsburgh). 10 indexed citations
11.
Crosson, Amy C., Melissa Boston, Lindsay Clare Matsumura, et al.. (2006). Beyond Summative Evaluation: The Instructional Quality Assessment as a Professional Development Tool. CSE Technical Report 691.. 6 indexed citations
12.
Matsumura, Lindsay Clare, et al.. (2006). Beyond summative evaluation: The Instructional Quality Assessment as a professional development tool. D-Scholarship@Pitt (University of Pittsburgh). 5 indexed citations
13.
Johnson, Matthew & Brian W. Junker. (2003). Using Data Augmentation and Markov Chain Monte Carlo for the Estimation of Unfolding Response Models. Journal of Educational and Behavioral Statistics. 28(3). 195–230. 21 indexed citations
14.
Erosheva, Elena A., et al.. (2002). Alternative statistical models and representations for large sparse multi-dimensional contingency tables. Annales de la faculté des sciences de Toulouse Mathématiques. 11(4). 485–505. 17 indexed citations
15.
Patz, Richard J. & Brian W. Junker. (1999). Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses. Journal of Educational and Behavioral Statistics. 24(4). 342–366. 232 indexed citations
16.
Patz, Richard J. & Brian W. Junker. (1999). Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses. Journal of Educational and Behavioral Statistics. 24(4). 342–342. 46 indexed citations
17.
Junker, Brian W.. (1998). Some Remarks on Scheiblechner's Treatment of ISOP Models. Psychometrika. 63(1). 73–85. 7 indexed citations
18.
Hemker, Bas T., Klaas Sijtsma, Ivo W. Molenaar, & Brian W. Junker. (1996). Polytomous IRT Models and Monotone Likelihood Ratio of the Total Score. Psychometrika. 61(4). 679–693. 56 indexed citations
19.
Darroch, J. N., Stephen E. Fienberg, Gary Glonek, & Brian W. Junker. (1993). A Three-Sample Multiple-Recapture Approach to Census Population Estimation with Heterogeneous Catchability. Journal of the American Statistical Association. 88(423). 1137–1148. 106 indexed citations
20.
Darroch, J. N., Stephen E. Fienberg, Gary Glonek, & Brian W. Junker. (1993). A Three-Sample Multiple-Recapture Approach to Census Population Estimation with Heterogeneous Catchability. Journal of the American Statistical Association. 88(423). 1137–1137. 22 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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