Walter L. Leite

3.5k total citations
109 papers, 2.5k citations indexed

About

Walter L. Leite is a scholar working on Education, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Walter L. Leite has authored 109 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Education, 31 papers in Statistics and Probability and 24 papers in Management Science and Operations Research. Recurrent topics in Walter L. Leite's work include Psychometric Methodologies and Testing (22 papers), Advanced Causal Inference Techniques (20 papers) and Online Learning and Analytics (19 papers). Walter L. Leite is often cited by papers focused on Psychometric Methodologies and Testing (22 papers), Advanced Causal Inference Techniques (20 papers) and Online Learning and Analytics (19 papers). Walter L. Leite collaborates with scholars based in United States, Türkiye and Brazil. Walter L. Leite's co-authors include S. Natasha Beretvas, Yuying Shi, Marilla D. Svinicki, I‐Chan Huang, Jason L. Meyers, Peter R. Giacobbi, Laura M. Stapleton, James Algina, George A. Marcoulides and Albert W. Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and Computers & Education.

In The Last Decade

Walter L. Leite

104 papers receiving 2.3k citations

Peers

Walter L. Leite

EDUCA

DEP

SPS

Pui‐Wa Lei United States

Keenan A. Pituch United States

Stephen A. Sivo United States

Jeffrey D. Kromrey United States

Stephen G. Sireci United States

R. Philip Chalmers Canada

Carole Torgerson United Kingdom

Laura M. Stapleton United States

J. Kyle Roberts United States

Francisco J. Abad Spain

Pui‐Wa Lei United States

Walter L. Leite

1.1k ×1.8

EDUCA

834 ×1.9

DEP

678 ×1.8

307 ×0.8

SPS

506 ×1.4

Citations per year, relative to Walter L. Leite Walter L. Leite (= 1×) peers Pui‐Wa Lei

Countries citing papers authored by Walter L. Leite

Since Specialization

Citations

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

Fields of papers citing papers by Walter L. Leite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter L. Leite. 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 Walter L. Leite. The network helps show where Walter L. Leite may publish in the future.

Co-authorship network of co-authors of Walter L. Leite

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

All Works

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20 of 20 papers shown

Leite, Walter L., et al.. (2024). Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines.

Leite, Walter L., et al.. (2023). Comparison of Propensity Score Weighting Methods to Remove Selection Bias in Average Treatment Effect Estimates. SHILAP Revista de lepidopterología. 2023(21). 989–1031. 1 indexed citations

Harring, Jeffrey R., et al.. (2022). Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification. Educational and Psychological Measurement. 83(1). 73–92. 6 indexed citations

Li, Chenglu, Wanli Xing, & Walter L. Leite. (2022). Toward building a fair peer recommender to support help-seeking in online learning. Distance Education. 43(1). 30–55. 12 indexed citations

Li, Chenglu, Wanli Xing, & Walter L. Leite. (2022). Building socially responsible conversational agents using big data to support online learning: A case with Algebra Nation. British Journal of Educational Technology. 53(4). 776–803. 26 indexed citations

Leite, Walter L., et al.. (2022). Model Specification Searches in Structural Equation Modeling with a Hybrid Ant Colony Optimization Algorithm. Structural Equation Modeling A Multidisciplinary Journal. 29(5). 655–666. 9 indexed citations

Li, Chenglu, Wanli Xing, & Walter L. Leite. (2022). Using fair AI to predict students’ math learning outcomes in an online platform. Interactive Learning Environments. 32(3). 1117–1136. 21 indexed citations

Leite, Walter L., et al.. (2022). The relationship between self-regulated student use of a virtual learning environment for algebra and student achievement: An examination of the role of teacher orchestration. Computers & Education. 191. 104615–104615. 12 indexed citations

Leite, Walter L., et al.. (2022). Teacher strategies to use virtual learning environments to facilitate algebra learning during school closures. Journal of Research on Technology in Education. 56(2). 95–109. 6 indexed citations

10.

Leite, Walter L., et al.. (2021). Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses. Evaluation Review. 45(1-2). 3–33. 4 indexed citations

11.

Colby, Sarah, Melissa D. Olfert, Tracey E. Barnett, et al.. (2021). Examining gender and the longitudinal effect of weight conscious drinking dimensions on body mass index among a college freshman cohort. Journal of American College Health. 71(5). 1575–1583. 1 indexed citations

12.

Leite, Walter L., et al.. (2021). The effects of a personalized recommendation system on students’ high-stakes achievement scores: A field experiment. Educational Data Mining. 4 indexed citations

13.

Leite, Walter L., et al.. (2021). Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling. Structural Equation Modeling A Multidisciplinary Journal. 29(1). 47–56. 18 indexed citations

14.

Colby, Sarah, Tracey E. Barnett, Melissa D. Olfert, et al.. (2019). Examining the effect of weight conscious drinking on binge drinking frequency among college freshmen. Journal of American College Health. 68(8). 906–913. 9 indexed citations

15.

Leite, Walter L., et al.. (2018). Propensity Score Analysis of Complex Survey Data with Structural Equation Modeling: A Tutorial with Mplus. Structural Equation Modeling A Multidisciplinary Journal. 26(3). 448–469. 13 indexed citations

16.

Leite, Walter L., et al.. (2016). Curva de crescimento em Matemática via Teoria da Resposta ao Item. SHILAP Revista de lepidopterología. 27(64). 242–266. 2 indexed citations

17.

Leite, Walter L., et al.. (2015). An Evaluation of Weighting Methods Based on Propensity Scores to Reduce Selection Bias in Multilevel Observational Studies. Multivariate Behavioral Research. 50(3). 265–284. 38 indexed citations

18.

Adams, Alyson, et al.. (2013). Preparing Teacher Leaders in a Job-Embedded Graduate Program: Changes within and beyond the Classroom Walls. Teacher education & practice. 26(3). 581–597. 5 indexed citations

19.

Leite, Walter L. & S. Natasha Beretvas. (2010). The Performance of Multiple Imputation for Likert-type Items with Missing Data. Journal of Modern Applied Statistical Methods. 9(1). 64–74. 25 indexed citations

20.

Lane, Holly B., et al.. (2008). Teacher Knowledge About Reading Fluency and Indicators of Students' Fluency Growth in Reading First Schools. Reading & Writing Quarterly. 25(1). 57–86. 49 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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