Zsuzsa Bakk

2.2k citations
27 papers · 1.6k indexed · 2 hit papers · h-index 13
Topics
Statistical Methods and Bayesian Inference (10 papers)Bayesian Methods and Mixture Models (8 papers)Statistical Methods and Inference (6 papers)

In The Last Decade

Zsuzsa Bakk

24 papers receiving 1.6k citations

Hit Papers

Robustness of Stepwise Latent Class Modeling With Continu...201320262017202120152013100200300400500

Peers

Zsuzsa Bakk
Comparison fields: 5 of 126
  • Clinical Psychology 436
  • Social Psychology 368
  • Sociology and Political Science 292
  • Education 231
  • Statistics and Probability 228
Replace Terrence D. Jorgensen with:
Terrence D. Jorgensen Netherlands
Dubravka Svetina United States
Myeongsun Yoon United States
Mark H. C. Lai United States
Felix Thoemmes United States
Carl F. Falk Canada
Ziqiang Xin China
Anna Brown United Kingdom
Tammi Vacha‐Haase United States
Antonio A. Morgan‐López United States
Zsuzsa Bakk relative to Terrence D. Jorgensen Netherlands Terrence D. Jorgensen's profile →
Citations per field
00.5×1.5×2.0×
Terrence D. Jorgensen · 1×
Citations per year

Countries citing papers authored by Zsuzsa Bakk

Since Specialization
Citations

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

Fields of papers citing papers by Zsuzsa Bakk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsuzsa Bakk

This figure shows the co-authorship network connecting the top 25 collaborators of Zsuzsa Bakk. A scholar is included among the top collaborators of Zsuzsa Bakk 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 Zsuzsa Bakk. Zsuzsa Bakk 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 1
2 0
3 1
4 4
5 9
6 1
7 0
8 2
9 15
10 7
11 1
12 82
13 6
14 25
15 18
16 83
17 28
18 91
19
Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomesbreakdown →
592
20 34

About Zsuzsa Bakk

Zsuzsa Bakk is a scholar working on Statistics and Probability, Applied Psychology and Experimental and Cognitive Psychology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (10 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (228 citations), Applied Psychology (111 citations) and Clinical Psychology (436 citations). Zsuzsa Bakk has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Jeroen K. Vermunt, Fetene Tekle, Jouni Kuha, Daniel L. Oberski, Marianne van Woerkom, Maria Christina Meyers, Thomas Jaki, Min-Jung Kim, M. Lee Van Horn and Jennifer Oser. Their work appears in journals such as Social Science & Medicine, Journal of Counseling Psychology and Journal of Statistical Software.

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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