Laurie Berrie
- Public Health, Environmental and Occupational Health
- Statistics and Probability top 5%
- Pediatrics, Perinatology and Child Health
- Health, Toxicology and Mutagenesis top 10%
- Economics and Econometrics top 10%
- Co-authors
- Peter W. G. TennantKellyn F ArnoldMark S. GilthorpeGeorge T. H. EllisonGeorgia D TomovaLynsie R RankerWendy J. HarrisonMatthew P. Fox
- Topics
- Advanced Causal Inference Techniques (3 papers)Geochemistry and Geologic Mapping (3 papers)Statistical Methods and Bayesian Inference (2 papers)
- Partner nations
- United KingdomNetherlandsNew Zealand
In The Last Decade
Laurie Berrie
11 papers receiving 599 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Public Health, Environmental and Occupational Health 109
- Statistics and Probability 82
- Pediatrics, Perinatology and Child Health 73
- Health, Toxicology and Mutagenesis 70
- Economics and Econometrics 69
Countries citing papers authored by Laurie Berrie
This map shows the geographic impact of Laurie Berrie'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 Laurie Berrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurie Berrie more than expected).
Fields of papers citing papers by Laurie Berrie
This network shows the impact of papers produced by Laurie Berrie. 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 Laurie Berrie. The network helps show where Laurie Berrie may publish in the future.
Co-authorship network of co-authors of Laurie Berrie
This figure shows the co-authorship network connecting the top 25 collaborators of Laurie Berrie. A scholar is included among the top collaborators of Laurie Berrie 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 Laurie Berrie. Laurie Berrie 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 | 8 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendationsbreakdown → | 534 |
| 7 | 28 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | Advanced Modelling Strategies: Challenges and pitfalls in robust causal inference with observational data | 6 |
About Laurie Berrie
Laurie Berrie is a scholar working on Statistics and Probability, Health and Management Science and Operations Research, having authored 12 papers that have together received 603 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Geochemistry and Geologic Mapping (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (82 citations), Health, Toxicology and Mutagenesis (70 citations) and Health (42 citations). Laurie Berrie has collaborated with scholars based in United Kingdom, Netherlands and New Zealand. Frequent co-authors include Peter W. G. Tennant, Kellyn F Arnold, Mark S. Gilthorpe, George T. H. Ellison, Georgia D Tomova, Lynsie R Ranker, Wendy J. Harrison, Matthew P. Fox, Claire Keeble and Sarah Gadd. Their work appears in journals such as American Journal of Epidemiology, International Journal of Epidemiology and 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.