Sibylle Sturtz

2.8k citations
18 papers · 2.2k indexed · 2 hit papers · h-index 10
Topics
Meta-analysis and systematic reviews (8 papers)Statistical Methods in Clinical Trials (5 papers)Statistical Methods and Bayesian Inference (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Epidemiology
Partner nations
GermanyUnited States

In The Last Decade

Sibylle Sturtz

18 papers receiving 2.1k citations

Hit Papers

R2WinBUGS: A Package for RunningWinBUGSfromR2005202620122019200520064008001.2k

Peers

Sibylle Sturtz
Comparison fields: 5 of 181
  • Ecology 591
  • Nature and Landscape Conservation 435
  • Statistics and Probability 403
  • Global and Planetary Change 286
  • Economics and Econometrics 202
Replace Uwe Ligges with:
Uwe Ligges Germany
Karen Vines United Kingdom
Andrew Gelman United States
Jaxk Reeves United States
P. McCullagh United Kingdom
P. W. Lane United States
John P. Buonaccorsi United States
Andrea Riebler Norway
Linda J. Young United States
J. A. Nelder United Kingdom
Sibylle Sturtz relative to Uwe Ligges Germany Uwe Ligges's profile →
Citations per field
00.5×1.5×
Uwe Ligges · 1×
Citations per year

Countries citing papers authored by Sibylle Sturtz

Since Specialization
Citations

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

Fields of papers citing papers by Sibylle Sturtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibylle Sturtz

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 2
3 7
4 7
5 17
6 10
7 9
8 17
9 72
10 2
11 6
12 33
13 54
14 5
15 5
16
Making BUGS openbreakdown →
560
17 94
18
R2WinBUGS: A Package for RunningWinBUGSfromRbreakdown →
1297

About Sibylle Sturtz

Sibylle Sturtz is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Neurology, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (403 citations), Ecological Modeling (198 citations) and Nature and Landscape Conservation (435 citations). Sibylle Sturtz has collaborated with scholars based in Germany and United States. Frequent co-authors include Uwe Ligges, Andrew Gelman, Andrew Thomas, Ralf Bender, Andrew Gelman, Guido Skipka, Reinhard Busse, Marcial Velasco Garrido, Annette Zentner and Katja Ickstadt. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

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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