Milica Miočević

1.4k citations
34 papers · 878 indexed · h-index 13
Topics
Statistical Methods and Bayesian Inference (13 papers)Advanced Causal Inference Techniques (10 papers)Behavioral and Psychological Studies (8 papers)

In The Last Decade

Milica Miočević

30 papers receiving 852 citations

Peers

Milica Miočević
Comparison fields: 5 of 154
  • Statistics and Probability 203
  • Clinical Psychology 157
  • Social Psychology 137
  • Experimental and Cognitive Psychology 137
  • Developmental and Educational Psychology 107
Replace Mariëlle Zondervan‐Zwijnenburg with:
Mariëlle Zondervan‐Zwijnenburg Netherlands
Linda Reichwein Zientek United States
Keke Lai United States
Klaus D. Kubinger Austria
Phill Gagné United States
Reinhold Hatzinger Austria
Sedat Şen Türkiye
Axel Mayer Germany
Michele F. Zimowski United States
Jonathan Nevitt United States
Milica Miočević relative to Mariëlle Zondervan‐Zwijnenburg Netherlands Mariëlle Zondervan‐Zwijnenburg's profile →
Citations per field
00.5×1.5×2.1×
Mariëlle Zondervan‐Zwijnenburg · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 12
3 0
4 1
5 2
6 6
7 6
8 9
9 10
10 6
11 3
12 151
13 3
14 33
15 148
16 48
17 69
18 28
19 53
20 29

About Milica Miočević

Milica Miočević is a scholar working on Statistics and Probability, Management Science and Operations Research and Developmental and Educational Psychology, having authored 34 papers that have together received 878 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Advanced Causal Inference Techniques (10 papers) and Behavioral and Psychological Studies (8 papers). The work is most often cited by research in Statistics and Probability (203 citations), Applied Psychology (56 citations) and Experimental and Cognitive Psychology (137 citations). Milica Miočević has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include David P. MacKinnon, Rens van de Schoot, Holly P. O’Rourke, Sanne C. Smid, Daniel McNeish, C. Hendricks Brown, Matthew J. Valente, Roy Levy, Oscar González and Yasemin Kisbu‐Sakarya. Their work appears in journals such as PLoS ONE, The Journal of Nervous and Mental Disease and Psychological Methods.

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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