Nianbo Dong

1.8k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Nianbo Dong is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Nianbo Dong has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 23 papers in Education and 18 papers in Developmental and Educational Psychology. Recurrent topics in Nianbo Dong's work include Advanced Causal Inference Techniques (24 papers), Early Childhood Education and Development (16 papers) and Behavioral and Psychological Studies (15 papers). Nianbo Dong is often cited by papers focused on Advanced Causal Inference Techniques (24 papers), Early Childhood Education and Development (16 papers) and Behavioral and Psychological Studies (15 papers). Nianbo Dong collaborates with scholars based in United States, Türkiye and Taiwan. Nianbo Dong's co-authors include Dale C. Farran, Mary Wagner Fuhs, Kimberly Turner Nesbitt, Rebecca Maynard, Jessaca Spybrook, Benjamin Kelcey, Chiungjung Huang, Wendy M. Reinke, Keith C. Herman and Mark W. Lipsey and has published in prestigious journals such as Journal of Educational Psychology, Developmental Psychology and Organizational Research Methods.

In The Last Decade

Nianbo Dong

47 papers receiving 1.2k citations

Hit Papers

Longitudinal associations between executive functioning a... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nianbo Dong United States 18 535 409 348 238 124 50 1.2k
Mark Reiser United States 15 484 0.9× 148 0.4× 164 0.5× 623 2.6× 122 1.0× 28 1.5k
Myeongsun Yoon United States 17 248 0.5× 167 0.4× 172 0.5× 373 1.6× 241 1.9× 38 1.4k
Ryan J. Kettler United States 18 606 1.1× 64 0.2× 291 0.8× 372 1.6× 61 0.5× 69 1.0k
Greg Roberts United States 17 649 1.2× 219 0.5× 623 1.8× 133 0.6× 49 0.4× 32 1.1k
Michele F. Zimowski United States 6 203 0.4× 129 0.3× 114 0.3× 204 0.9× 166 1.3× 14 996
Lynn Foster‐Johnson United States 14 203 0.4× 96 0.2× 386 1.1× 252 1.1× 36 0.3× 28 998
Greg Roberts United States 28 976 1.8× 511 1.2× 1.5k 4.3× 110 0.5× 57 0.5× 74 2.0k
Christina Weiland United States 24 2.3k 4.4× 270 0.7× 763 2.2× 586 2.5× 80 0.6× 73 2.7k
Louis M. Hsu United States 20 130 0.2× 118 0.3× 169 0.5× 357 1.5× 154 1.2× 56 1.0k
Kirsten Kainz United States 22 852 1.6× 51 0.1× 347 1.0× 360 1.5× 29 0.2× 51 1.3k

Countries citing papers authored by Nianbo Dong

Since Specialization
Citations

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

Fields of papers citing papers by Nianbo Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nianbo Dong. 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 Nianbo Dong. The network helps show where Nianbo Dong may publish in the future.

Co-authorship network of co-authors of Nianbo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Nianbo Dong. A scholar is included among the top collaborators of Nianbo Dong 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 Nianbo Dong. Nianbo Dong 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.
Dong, Nianbo, Rebecca Maynard, Benjamin Kelcey, et al.. (2024). Advantages of Monte Carlo Confidence Intervals for Incremental Cost-Effectiveness Ratios: A Comparison of Five Methods. Journal of Research on Educational Effectiveness. 18(4). 951–979.
3.
Dong, Nianbo, Keith C. Herman, Wendy M. Reinke, Sandra Jo Wilson, & Catherine P. Bradshaw. (2022). Gender, Racial, and Socioeconomic Disparities on Social and Behavioral Skills for K-8 Students With and Without Interventions: An Integrative Data Analysis of Eight Cluster Randomized Trials. Prevention Science. 24(8). 1483–1498. 6 indexed citations
4.
Dong, Nianbo, Jessaca Spybrook, Benjamin Kelcey, & Metin Buluş. (2021). Power analyses for moderator effects with (non)randomly varying slopes in cluster randomized trials. Methodology. 17(2). 92–110. 12 indexed citations
5.
Li, Wei, Nianbo Dong, & Rebecca Maynard. (2020). Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials. Journal of Educational and Behavioral Statistics. 45(6). 690–718. 5 indexed citations
6.
Kelcey, Ben, et al.. (2020). Cross-Level Mediation in School-Randomized Studies of Teacher Development: Experimental Design and Power. Journal of Research on Educational Effectiveness. 13(3). 459–487. 7 indexed citations
7.
8.
Spybrook, Jessaca, Qi Zhang, Ben Kelcey, & Nianbo Dong. (2020). Learning From Cluster Randomized Trials in Education: An Assessment of the Capacity of Studies to Determine What Works, For Whom, and Under What Conditions. Educational Evaluation and Policy Analysis. 42(3). 354–374. 13 indexed citations
9.
Reinke, Wendy M., Keith C. Herman, & Nianbo Dong. (2018). The Incredible Years Teacher Classroom Management Program: Outcomes from a Group Randomized Trial. Prevention Science. 19(8). 1043–1054. 57 indexed citations
10.
Reinke, Wendy M., Keith C. Herman, & Nianbo Dong. (2018). The Incredible Years Teacher Classroom Management Program: Outcomes from a Group Randomized Trial.. Grantee Submission. 19. 1043–1054. 1 indexed citations
11.
Kelcey, Ben, Jessaca Spybrook, & Nianbo Dong. (2018). Sample Size Planning for Cluster-Randomized Interventions Probing Multilevel Mediation. Prevention Science. 20(3). 407–418. 14 indexed citations
12.
Stuart, Elizabeth A., et al.. (2016). Combining Propensity Score Methods and Complex Survey Data to Estimate Population Treatment Effects.. Society for Research on Educational Effectiveness.
13.
Curenton, Stephanie M., et al.. (2015). Does aggregate school-wide achievement mediate fifth grade outcomes for former early childhood education participants?. Developmental Psychology. 51(7). 921–934. 16 indexed citations
14.
Dong, Nianbo & Mark W. Lipsey. (2014). Empirical Benchmarks of Hidden Bias in Educational Research: Implication for Assessing How well Propensity Score Methods Approximate Experiments and Conducting Sensitivity Analysis.. Society for Research on Educational Effectiveness. 1 indexed citations
15.
Reinke, Wendy M., Keith C. Herman, & Nianbo Dong. (2014). The Incredible Year Teacher Classroom Management Program: Initial Findings from a Group Randomized Control Trial.. Society for Research on Educational Effectiveness. 5 indexed citations
16.
Fuhs, Mary Wagner, Kimberly Turner Nesbitt, Dale C. Farran, & Nianbo Dong. (2014). Longitudinal associations between executive functioning and academic skills across content areas.. Developmental Psychology. 50(6). 1698–1709. 286 indexed citations breakdown →
17.
Lipsey, Mark W., et al.. (2013). Evaluation of the Tennessee Voluntary Prekindergarten Program: Kindergarten and First Grade Follow-Up Results from the Randomized Control Design. Research Report.. 36 indexed citations
18.
Dong, Nianbo. (2012). Causal Moderation Analysis Using Propensity Score Methods.. Society for Research on Educational Effectiveness. 3 indexed citations
19.
Dong, Nianbo & Mark W. Lipsey. (2011). Biases in Estimating Treatment Effects Due to Attrition in Randomized Controlled Trials and Cluster Randomized Controlled Trials: A Simulation Study.. Society for Research on Educational Effectiveness. 1 indexed citations
20.
Dong, Nianbo, et al.. (2008). Averaging Effect Sizes Within and Across Studies of Interventions Aimed at Improving Child Outcomes. Child Development Perspectives. 2(3). 187–197. 8 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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