Maaike Ugille

706 total citations
14 papers, 566 citations indexed

About

Maaike Ugille is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Maaike Ugille has authored 14 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Developmental and Educational Psychology, 7 papers in Statistics and Probability and 6 papers in Management Science and Operations Research. Recurrent topics in Maaike Ugille's work include Behavioral and Psychological Studies (10 papers), Optimal Experimental Design Methods (5 papers) and Advanced Causal Inference Techniques (4 papers). Maaike Ugille is often cited by papers focused on Behavioral and Psychological Studies (10 papers), Optimal Experimental Design Methods (5 papers) and Advanced Causal Inference Techniques (4 papers). Maaike Ugille collaborates with scholars based in Belgium and United States. Maaike Ugille's co-authors include Mariola Moeyaert, Wim Van Den Noortgate, John M. Ferron, S. Natasha Beretvas, Rommel Bunuan, Patrick Onghena and Mieke Heyvaert and has published in prestigious journals such as Behavior Research Methods, Multivariate Behavioral Research and School Psychology Quarterly.

In The Last Decade

Maaike Ugille

12 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maaike Ugille Belgium	10	328	142	140	101	58	14	566
Benjamin G. Solomon United States	10	365 1.1×	114 0.8×	48 0.3×	101 1.0×	127 2.2×	31	480
Susan J. Maller United States	13	186 0.6×	52 0.4×	137 1.0×	38 0.4×	117 2.0×	27	572
Catherine Trapani United States	13	219 0.7×	109 0.8×	72 0.5×	23 0.2×	219 3.8×	33	728
Sébastien Béland Canada	9	74 0.2×	34 0.2×	186 1.3×	111 1.1×	58 1.0×	47	483
Ryan J. McGill United States	19	400 1.2×	122 0.9×	241 1.7×	105 1.0×	227 3.9×	69	924
Susan T. Hibbard United States	6	116 0.4×	30 0.2×	54 0.4×	71 0.7×	45 0.8×	17	333
Raymond F. Koopman Canada	8	150 0.5×	77 0.5×	82 0.6×	77 0.8×	81 1.4×	16	549
Fan Jia United States	12	83 0.3×	37 0.3×	71 0.5×	120 1.2×	118 2.0×	34	446
Ethan R. Van Norman United States	13	415 1.3×	52 0.4×	43 0.3×	177 1.8×	87 1.5×	70	681
Gale H. Roid United States	11	123 0.4×	90 0.6×	77 0.6×	29 0.3×	60 1.0×	41	502

Countries citing papers authored by Maaike Ugille

Since Specialization

Citations

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

Fields of papers citing papers by Maaike Ugille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maaike Ugille

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

All Works

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14 of 14 papers shown

Moeyaert, Mariola, Maaike Ugille, S. Natasha Beretvas, et al.. (2016). Methods for dealing with multiple outcomes in meta-analysis:a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis. International Journal of Social Research Methodology. 20(6). 559–572. 215 indexed citations

Heyvaert, Mieke, et al.. (2016). Testing the Intervention Effect in Single-Case Experiments: A Monte Carlo Simulation Study. The Journal of Experimental Education. 85(2). 175–196. 35 indexed citations

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, S. Natasha Beretvas, & Wim Van Den Noortgate. (2015). The Misspecification of the Covariance Structures in Multilevel Models for Single-Case Data: A Monte Carlo Simulation Study. The Journal of Experimental Education. 84(3). 473–509. 21 indexed citations

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, et al.. (2014). Estimating intervention effects across different types of single-subject experimental designs: Empirical illustration.. School Psychology Quarterly. 30(1). 50–63. 25 indexed citations

Heyvaert, Mieke, Mariola Moeyaert, Maaike Ugille, Wim Van Den Noortgate, & Patrick Onghena. (2014). Comparing hierarchical linear models and randomization tests in the analysis of multiple baseline data. 1 indexed citations

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, S. Natasha Beretvas, & Wim Van Den Noortgate. (2014). The Influence of the Design Matrix on Treatment Effect Estimates in the Quantitative Analyses of Single-Subject Experimental Design Research. Behavior Modification. 38(5). 665–704. 48 indexed citations

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, S. Natasha Beretvas, & Wim Van Den Noortgate. (2013). The Three-Level Synthesis of Standardized Single-Subject Experimental Data: A Monte Carlo Simulation Study. Multivariate Behavioral Research. 48(5). 719–748. 61 indexed citations

Ugille, Maaike, Mariola Moeyaert, & Wim Van Den Noortgate. (2013). Combining Group-Comparison and Single-Subject Experimental Designs.

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, S. Natasha Beretvas, & Wim Van Den Noortgate. (2013). Three-Level Analysis of Single-Case Experimental Data: Empirical Validation. The Journal of Experimental Education. 82(1). 1–21. 65 indexed citations

10.

Ugille, Maaike, Mariola Moeyaert, S. Natasha Beretvas, John M. Ferron, & Wim Van Den Noortgate. (2013). Bias Corrections for Standardized Effect Size Estimates Used With Single-Subject Experimental Designs. The Journal of Experimental Education. 82(3). 358–374. 27 indexed citations

11.

Moeyaert, Mariola, Maaike Ugille, John M. Ferron, S. Natasha Beretvas, & Wim Van Den Noortgate. (2012). Modeling external events in the three-level analysis of multiple-baseline across-participants designs: A simulation study. Behavior Research Methods. 45(2). 547–559. 22 indexed citations

12.

Ugille, Maaike, Mariola Moeyaert, S. Natasha Beretvas, John M. Ferron, & Wim Van Den Noortgate. (2012). Multilevel meta-analysis of single-subject experimental designs: A simulation study. Behavior Research Methods. 44(4). 1244–1254. 44 indexed citations

13.

Ugille, Maaike, Mariola Moeyaert, S. Natasha Beretvas, John M. Ferron, & Wim Van Den Noortgate. (2012). Meta-analysis of group-comparison and single-subject experimental designs.

14.

Ugille, Maaike, Mariola Moeyaert, S. Natasha Beretvas, John M. Ferron, & Wim Van Den Noortgate. (2012). Multilevel meta-analysis of single-subject experimental designs. 2 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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