Andrea Riebler
- Statistics and Probability top 1%
- Economics and Econometrics top 2%
- Epidemiology top 10%
- Genetics top 10%
- Global and Planetary Change top 5%
- Co-authors
- Håvard RueDaniel SimpsonSigrunn H. SørbyeLeonhard HeldThiago G. MartinsFinn LindgrenJanine IllianGeir‐Arne Fuglstad
- Topics
- Statistical Methods and Bayesian Inference (8 papers)Genetic and phenotypic traits in livestock (7 papers)Insurance, Mortality, Demography, Risk Management (6 papers)
- Journals
- PLoS ONEGeneticsGenome biology
- Partner nations
- NorwaySwitzerlandUnited Kingdom
In The Last Decade
Andrea Riebler
27 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Statistics and Probability 399
- Economics and Econometrics 389
- Epidemiology 349
- Genetics 305
- Global and Planetary Change 283
Countries citing papers authored by Andrea Riebler
This map shows the geographic impact of Andrea Riebler'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 Andrea Riebler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Riebler more than expected).
Fields of papers citing papers by Andrea Riebler
This network shows the impact of papers produced by Andrea Riebler. 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 Andrea Riebler. The network helps show where Andrea Riebler may publish in the future.
Co-authorship network of co-authors of Andrea Riebler
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Riebler. A scholar is included among the top collaborators of Andrea Riebler 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 Andrea Riebler. Andrea Riebler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 218 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priorsbreakdown → | 622 |
| 10 | 5 | |
| 11 | 262 | |
| 12 | 24 | |
| 13 | 68 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 68 | |
| 17 | 62 | |
| 18 | 150 | |
| 19 | 34 | |
| 20 | 9 |
About Andrea Riebler
Andrea Riebler is a scholar working on Statistics and Probability, Demography and Management Science and Operations Research, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Genetic and phenotypic traits in livestock (7 papers) and Insurance, Mortality, Demography, Risk Management (6 papers). The work is most often cited by research in Statistics and Probability (399 citations), Modeling and Simulation (155 citations) and Ecological Modeling (133 citations). Andrea Riebler has collaborated with scholars based in Norway, Switzerland and United Kingdom. Frequent co-authors include Håvard Rue, Daniel Simpson, Sigrunn H. Sørbye, Leonhard Held, Thiago G. Martins, Finn Lindgren, Janine Illian, Geir‐Arne Fuglstad, Jingyi Guo and Haakon Bakka. Their work appears in journals such as PLoS ONE, Genetics and Genome biology.
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.