Stefanie Biedermann

674 citations
30 papers · 430 indexed · h-index 11
Topics
Optimal Experimental Design Methods (24 papers)Advanced Multi-Objective Optimization Algorithms (16 papers)Statistical Methods in Clinical Trials (10 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrika

In The Last Decade

Stefanie Biedermann

29 papers receiving 405 citations

Peers

Stefanie Biedermann
Comparison fields: 5 of 94
  • Management Science and Operations Research 266
  • Computational Theory and Mathematics 190
  • Statistics and Probability 123
  • Statistics, Probability and Uncertainty 82
  • Surgery 69
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B. Torsney United Kingdom
Christos P. Kitsos Greece
Sergei Leonov United States
J. Burridge United Kingdom
Huizi Cui China
Mohammad Ali Yaghoobi Iran
Hsiao-Chang Chen United States
Ajay Kumar Bhurjee India
Ali Tafazzoli United States
Shengli Zhao China
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Citations per field
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B. Torsney · 1×
Citations per year

Countries citing papers authored by Stefanie Biedermann

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Biedermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Biedermann

This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Biedermann. A scholar is included among the top collaborators of Stefanie Biedermann 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 Stefanie Biedermann. Stefanie Biedermann 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 30
2 1
3 2
4
Sensitivity analysis for informative censoring in parametric survival models: an evaluation of the method
0
5 4
6 2
7 5
8 68
9 15
10 2
11 6
12 14
13 1
14 36
15
Numerical construction of parameter maximin D-optimal designs for binary response models
2
16
Some robust design strategies for percentile estimation in binary response models
1
17 57
18 7
19 17
20 15

About Stefanie Biedermann

Stefanie Biedermann is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 30 papers that have together received 430 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (24 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Statistical Methods in Clinical Trials (10 papers). The work is most often cited by research in Management Science and Operations Research (266 citations), Statistics and Probability (123 citations) and Computational Theory and Mathematics (190 citations). Stefanie Biedermann has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include Holger Dette, Min Yang, Wei Zhu, Alan Kimber, Andrey Pepelyshev, David C. Woods, R Sternitzky, Curt Diehm, Matthias Mahn and Tim Holland‐Letz. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.

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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