Brian T Keller

1.0k total citations
19 papers, 551 citations indexed

About

Brian T Keller is a scholar working on Statistics and Probability, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Brian T Keller has authored 19 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Brian T Keller's work include Statistical Methods and Bayesian Inference (11 papers), Advanced Causal Inference Techniques (6 papers) and Mental Health Research Topics (6 papers). Brian T Keller is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Advanced Causal Inference Techniques (6 papers) and Mental Health Research Topics (6 papers). Brian T Keller collaborates with scholars based in United States, Spain and Germany. Brian T Keller's co-authors include Craig K. Enders, Roy Levy, Han Du, Christian Geiser, Ginger Lockhart, Tobias Koch, Michael Eid, David A. Cole, Morris A. Okun and Holly P. O’Rourke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Psychological Methods.

In The Last Decade

Brian T Keller

17 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian T Keller United States 9 156 114 106 95 93 19 551
Sunthud Pornprasertmanit United States 8 72 0.5× 114 1.0× 159 1.5× 93 1.0× 145 1.6× 11 528
Chih-Chien Yang Taiwan 7 80 0.5× 92 0.8× 160 1.5× 94 1.0× 134 1.4× 19 679
Wei‐Ming Luh Taiwan 13 137 0.9× 102 0.9× 118 1.1× 105 1.1× 163 1.8× 47 808
Ida Marais Australia 12 42 0.3× 94 0.8× 148 1.4× 65 0.7× 100 1.1× 34 702
Amanda C. Gottschall United States 7 62 0.4× 49 0.4× 271 2.6× 124 1.3× 95 1.0× 7 519
Kevin M. Kieffer United States 13 43 0.3× 80 0.7× 177 1.7× 52 0.5× 105 1.1× 20 535
Maxwell Mansolf United States 9 51 0.3× 155 1.4× 175 1.7× 41 0.4× 85 0.9× 31 465
Gregor Sočan Slovenia 13 35 0.2× 142 1.2× 179 1.7× 66 0.7× 130 1.4× 42 610

Countries citing papers authored by Brian T Keller

Since Specialization
Citations

This map shows the geographic impact of Brian T Keller'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 T Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T Keller more than expected).

Fields of papers citing papers by Brian T Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian T Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T Keller. A scholar is included among the top collaborators of Brian T Keller 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 T Keller. Brian T Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Huang, Francis L. & Brian T Keller. (2025). Working with missing data in large-scale assessments. Large-scale Assessments in Education. 13(1). 1 indexed citations
2.
Lee, Soo‐Yong, et al.. (2025). Tutorial for Bayesian Multilevel Structural Equation Modeling Using Blimp. Structural Equation Modeling A Multidisciplinary Journal. 33(2). 310–322.
3.
Enders, Craig K., et al.. (2024). Building a simpler moderated nonlinear factor analysis model with Markov Chain Monte Carlo estimation.. Psychological Methods. 1 indexed citations
4.
Du, Han, et al.. (2023). Comparing DIC and WAIC for multilevel models with missing data. Behavior Research Methods. 56(4). 2731–2750. 1 indexed citations
5.
Keller, Brian T & Craig K. Enders. (2023). An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions. Multivariate Behavioral Research. 58(5). 938–963. 6 indexed citations
6.
Enders, Craig K., et al.. (2023). A simple Monte Carlo method for estimating power in multilevel designs.. Psychological Methods. 30(5). 980–996. 9 indexed citations
7.
Enders, Craig K., et al.. (2023). A factored regression model for composite scores with item-level missing data.. Psychological Methods. 30(3). 462–481. 1 indexed citations
8.
Du, Han, et al.. (2022). Compatibility in imputation specification. Behavior Research Methods. 54(6). 2962–2980. 6 indexed citations
9.
Du, Han, Craig K. Enders, Brian T Keller, Thomas N. Bradbury, & Benjamin R. Karney. (2021). A Bayesian Latent Variable Selection Model for Nonignorable Missingness. Multivariate Behavioral Research. 57(2-3). 478–512. 10 indexed citations
10.
Keller, Brian T. (2021). An Introduction to Factored Regression Models with Blimp. SHILAP Revista de lepidopterología. 4(1). 10–37. 3 indexed citations
11.
Enders, Craig K., Han Du, & Brian T Keller. (2019). A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.. Psychological Methods. 25(1). 88–112. 96 indexed citations
12.
Keller, Brian T & Han Du. (2019). A Fully Conditional Specification Approach to Multilevel Multiple Imputation with Latent Cluster Means. Multivariate Behavioral Research. 54(1). 149–150. 2 indexed citations
13.
Enders, Craig K., Brian T Keller, & Roy Levy. (2017). A fully conditional specification approach to multilevel imputation of categorical and continuous variables.. Psychological Methods. 23(2). 298–317. 113 indexed citations
14.
Enders, Craig K., et al.. (2015). Multilevel multiple imputation: A review and evaluation of joint modeling and chained equations imputation.. Psychological Methods. 21(2). 222–240. 122 indexed citations
15.
Okun, Morris A., Holly P. O’Rourke, Brian T Keller, Kathryn A. Johnson, & Craig K. Enders. (2014). Value-Expressive Volunteer Motivation and Volunteering by Older Adults: Relationships With Religiosity and Spirituality. The Journals of Gerontology Series B. 70(6). 860–870. 36 indexed citations
16.
Geiser, Christian, Kaylee Litson, Jacob Bishop, et al.. (2014). Analyzing person, situation and person × situation interaction effects: Latent state-trait models for the combination of random and fixed situations.. Psychological Methods. 20(2). 165–192. 31 indexed citations
17.
Geiser, Christian, Brian T Keller, Ginger Lockhart, et al.. (2014). Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses. Behavior Research Methods. 47(1). 172–203. 57 indexed citations
18.
Geiser, Christian, Brian T Keller, & Ginger Lockhart. (2013). First- Versus Second-Order Latent Growth Curve Models: Some Insights From Latent State-Trait Theory. Structural Equation Modeling A Multidisciplinary Journal. 20(3). 479–503. 52 indexed citations
19.
Coleman, Rebecca, et al.. (1987). 171. Medicine & Science in Sports & Exercise. 19(Supplement). S29–S29. 4 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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