Mette Gerster
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Demography top 10%
- Family Dynamics and Relationships
Papers in
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- Family Dynamics and Relationships 5
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- Birth, Development, and Health 5
- Co-authors
- Per Kragh Andersen (7 shared papers)Maja Pohar Perme (2 shared papers)John P. Klein (1 shared paper)Sergey Tarima (1 shared paper)Niels Keiding (4 shared papers)Lisbeth B. Knudsen (2 shared papers)Anne‐Marie Nybo Andersen (5 shared papers)Katrine Strandberg‐Larsen (1 shared paper)
- Journals
- Demographic Research (2 papers)British Journal of Cancer (1 paper)BMJ Open (1 paper)International Archives of Occupational and Environmental Health (1 paper)Scandinavian Journal of Public Health (1 paper)
- Partner nations
- DenmarkUnited StatesBelgium
In The Last Decade
Mette Gerster
17 papers receiving 325 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 96
- Demography 56
- Medical Laboratory Technology 7
- Gender Studies 34
- Health 27
Countries citing papers authored by Mette Gerster
This map shows the geographic impact of Mette Gerster'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 Mette Gerster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Gerster more than expected).
Fields of papers citing papers by Mette Gerster
This network shows the impact of papers produced by Mette Gerster. 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 Mette Gerster. The network helps show where Mette Gerster may publish in the future.
Co-authors
The 25 scholars most cited alongside Mette Gerster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 96 | |
| 2 | 2011 | 45 | |
| 3 | 2007 | 45 | |
| 4 | 2011 | 36 | |
| 5 | 2012 | 35 | |
| 6 | 2014 | 25 | |
| 7 | 2013 | 12 | |
| 8 | 2011 | 11 | |
| 9 | 2013 | 8 | |
| 10 | 2010 | 8 | |
| 11 | 2011 | 7 | |
| 12 | 2013 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2008 | 1 | |
| 15 | 2011 | 1 | |
| 16 | Socioeconomic determinants for fertility | 2009 | 1 |
| 17 | Computes Pseudo-Observations for Modeling [R package pseudo version 1.4.3] | 2017 | 1 |
About Mette Gerster
Mette Gerster is a scholar working on Demography, Pediatrics, Perinatology and Child Health, Sociology and Political Science, Statistics and Probability and Health, having authored 17 papers that have together received 338 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Family Dynamics and Relationships (5 papers), Intergenerational Family Dynamics and Caregiving (3 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers), Gender, Labor, and Family Dynamics (2 papers), BRCA gene mutations in cancer (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Statistics and Probability (96 citations), Demography (56 citations), Medical Laboratory Technology (7 citations), Gender Studies (34 citations) and Health (27 citations). Mette Gerster has collaborated with scholars based in Denmark, United States and Belgium. Frequent co-authors include Per Kragh Andersen, Maja Pohar Perme, John P. Klein, Sergey Tarima, Niels Keiding, Lisbeth B. Knudsen, Anne‐Marie Nybo Andersen, Katrine Strandberg‐Larsen, Jacob Hjelmborg and Stijn Vansteelandt. Their work appears in journals such as Demographic Research, British Journal of Cancer, BMJ Open, International Archives of Occupational and Environmental Health and Scandinavian Journal of Public Health.
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.