Milica Miočević

1.4k total citations
34 papers, 878 citations indexed

About

Milica Miočević is a scholar working on Statistics and Probability, Management Science and Operations Research and Developmental and Educational Psychology. According to data from OpenAlex, Milica Miočević has authored 34 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 8 papers in Developmental and Educational Psychology. Recurrent topics in Milica Miočević's work include Statistical Methods and Bayesian Inference (13 papers), Advanced Causal Inference Techniques (10 papers) and Behavioral and Psychological Studies (8 papers). Milica Miočević is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Advanced Causal Inference Techniques (10 papers) and Behavioral and Psychological Studies (8 papers). Milica Miočević collaborates with scholars based in United States, Canada and Netherlands. Milica Miočević's co-authors include David P. MacKinnon, Rens van de Schoot, Holly P. O’Rourke, Daniel McNeish, Sanne C. Smid, C. Hendricks Brown, Matthew J. Valente, Roy Levy, Oscar González and Yasemin Kisbu‐Sakarya and has published in prestigious journals such as PLoS ONE, The Journal of Nervous and Mental Disease and Psychological Methods.

In The Last Decade

Milica Miočević

30 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milica Miočević United States 13 203 157 137 137 107 34 878
Mariëlle Zondervan‐Zwijnenburg Netherlands 13 161 0.8× 177 1.1× 143 1.0× 149 1.1× 51 0.5× 23 796
Keke Lai United States 12 117 0.6× 167 1.1× 170 1.2× 105 0.8× 35 0.3× 25 812
Phill Gagné United States 10 67 0.3× 135 0.9× 153 1.1× 103 0.8× 118 1.1× 20 775
Reinhold Hatzinger Austria 13 188 0.9× 60 0.4× 92 0.7× 111 0.8× 67 0.6× 38 933
Axel Mayer Germany 18 167 0.8× 298 1.9× 311 2.3× 305 2.2× 82 0.8× 67 1.2k
Sedat Şen Türkiye 17 59 0.3× 149 0.9× 117 0.9× 194 1.4× 126 1.2× 61 757
Klaus D. Kubinger Austria 14 97 0.5× 100 0.6× 75 0.5× 147 1.1× 94 0.9× 63 797
Michele F. Zimowski United States 6 129 0.6× 204 1.3× 155 1.1× 166 1.2× 114 1.1× 14 996
Amery D. Wu Canada 15 61 0.3× 241 1.5× 232 1.7× 115 0.8× 100 0.9× 37 1.1k
Jonathan Nevitt United States 10 149 0.7× 243 1.5× 333 2.4× 134 1.0× 92 0.9× 13 1.4k

Countries citing papers authored by Milica Miočević

Since Specialization
Citations

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

Fields of papers citing papers by Milica Miočević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milica Miočević

This figure shows the co-authorship network connecting the top 25 collaborators of Milica Miočević. A scholar is included among the top collaborators of Milica Miočević 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 Milica Miočević. Milica Miočević 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.
Valente, Matthew J., et al.. (2024). Estimating Mediation Effects in ABAB Reversal Designs. Evaluation & the Health Professions. 48(1). 129–142.
2.
Falk, Carl F., et al.. (2023). Multilevel mediation analysis in R: A comparison of bootstrap and Bayesian approaches. Behavior Research Methods. 56(2). 750–764. 12 indexed citations
3.
Caron, Pier‐Olivier, et al.. (2023). Multilevel analysis of matching behavior: A comparison of maximum likelihood and Bayesian estimation. Journal of the Experimental Analysis of Behavior. 120(2). 253–262.
4.
Falk, Carl F., et al.. (2023). Comparing Factor Score Approaches to SEM in Multigroup Models with Small Samples. Structural Equation Modeling A Multidisciplinary Journal. 31(2). 310–328. 2 indexed citations
5.
Miočević, Milica, et al.. (2023). Bayesian mediation analysis in trauma research.. Psychological Trauma Theory Research Practice and Policy. 16(1). 149–157. 1 indexed citations
6.
Miočević, Milica, Mariola Moeyaert, Axel Mayer, & Amanda Kay Montoya. (2022). Causal Mediation Analysis in Single Case Experimental Designs: Introduction to the Special Issue. Evaluation & the Health Professions. 45(1). 3–7. 6 indexed citations
7.
Miočević, Milica, et al.. (2022). Methods for Modeling Autocorrelation and Handling Missing Data in Mediation Analysis in Single Case Experimental Designs (SCEDs). Evaluation & the Health Professions. 45(1). 36–53. 9 indexed citations
8.
Fortier, Isabel, Tina W. Wey, Angela Pinot de Moira, et al.. (2022). Life course of retrospective harmonization initiatives: key elements to consider. Journal of Developmental Origins of Health and Disease. 14(2). 190–198. 6 indexed citations
9.
Miočević, Milica, et al.. (2021). Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis. Structural Equation Modeling A Multidisciplinary Journal. 29(3). 428–437. 6 indexed citations
10.
Wurpts, Ingrid C., Milica Miočević, & David P. MacKinnon. (2021). Sequential Bayesian Data Synthesis for Mediation and Regression Analysis. Prevention Science. 23(3). 378–389. 3 indexed citations
11.
Smid, Sanne C., Daniel McNeish, Milica Miočević, & Rens van de Schoot. (2019). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling A Multidisciplinary Journal. 27(1). 131–161. 151 indexed citations
12.
Prast, Emilie J., Eva van de Weijer‐Bergsma, Milica Miočević, Evelyn H. Kroesbergen, & Johannes E. H. Van Luit. (2018). Relations between mathematics achievement and motivation in students of diverse achievement levels. Contemporary Educational Psychology. 55. 84–96. 47 indexed citations
13.
Groenwold, Rolf H. H., et al.. (2018). Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation. BMC Medical Research Methodology. 18(1). 174–174. 3 indexed citations
14.
Cisneros, Luis, et al.. (2017). Ancient genes establish stress-induced mutation as a hallmark of cancer. PLoS ONE. 12(4). e0176258–e0176258. 33 indexed citations
15.
Miočević, Milica, Oscar González, Matthew J. Valente, & David P. MacKinnon. (2017). A Tutorial in Bayesian Potential Outcomes Mediation Analysis. Structural Equation Modeling A Multidisciplinary Journal. 25(1). 121–136. 48 indexed citations
16.
Miočević, Milica, David P. MacKinnon, & Roy Levy. (2017). Power in Bayesian Mediation Analysis for Small Sample Research. Structural Equation Modeling A Multidisciplinary Journal. 24(5). 666–683. 69 indexed citations
17.
Miočević, Milica, Holly P. O’Rourke, David P. MacKinnon, & C. Hendricks Brown. (2017). Statistical properties of four effect-size measures for mediation models. Behavior Research Methods. 50(1). 285–301. 148 indexed citations
18.
Kuehl, Kerry S., Diane L. Elliot, David P. MacKinnon, et al.. (2016). The SHIELD (Safety & Health Improvement. Journal of Occupational and Environmental Medicine. 58(5). 492–498. 28 indexed citations
19.
Valente, Matthew J., Oscar González, Milica Miočević, & David P. MacKinnon. (2015). A Note on Testing Mediated Effects in Structural Equation Models. Educational and Psychological Measurement. 76(6). 889–911. 53 indexed citations
20.
Kisbu‐Sakarya, Yasemin, David P. MacKinnon, & Milica Miočević. (2014). The Distribution of the Product Explains Normal Theory Mediation Confidence Interval Estimation. Multivariate Behavioral Research. 49(3). 261–268. 29 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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