Laurie Berrie

21 total papers · 1.1k total citations
11 papers, 583 citations indexed

About

Laurie Berrie is a scholar working on Statistics and Probability, Artificial Intelligence and Health. According to data from OpenAlex, Laurie Berrie has authored 11 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Health. Recurrent topics in Laurie Berrie's work include Geochemistry and Geologic Mapping (3 papers), Advanced Causal Inference Techniques (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Laurie Berrie is often cited by papers focused on Geochemistry and Geologic Mapping (3 papers), Advanced Causal Inference Techniques (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Laurie Berrie collaborates with scholars based in United Kingdom, Netherlands and United States. Laurie Berrie's co-authors include Peter W. G. Tennant, Kellyn F Arnold, Mark S. Gilthorpe, Georgia D Tomova, George T. H. Ellison, Claire Keeble, Johannes Textor, Lynsie R Ranker, Wendy J. Harrison and Eleanor J. Murray and has published in prestigious journals such as American Journal of Epidemiology, International Journal of Epidemiology and Epidemiology.

In The Last Decade

Laurie Berrie

11 papers receiving 579 citations

Hit Papers

Use of directed acyclic g... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laurie Berrie 106 79 70 68 66 11 583
Georgia D Tomova 151 1.4× 80 1.0× 72 1.0× 68 1.0× 66 1.0× 8 642
Cate D’Este 131 1.2× 29 0.4× 33 0.5× 54 0.8× 49 0.7× 16 623
Panteha Hayati Rezvan 100 0.9× 82 1.0× 63 0.9× 29 0.4× 17 0.3× 31 555
Baoluo Sun 60 0.6× 183 2.3× 39 0.6× 40 0.6× 23 0.3× 19 550
Iris Shimizu 116 1.1× 44 0.6× 40 0.6× 69 1.0× 17 0.3× 21 633
A. Bradford Hill 126 1.2× 65 0.8× 44 0.6× 116 1.7× 12 0.2× 15 514
Timothy M. Morgan 63 0.6× 127 1.6× 36 0.5× 70 1.0× 13 0.2× 21 584
M. Kathryn Jedrziewski 114 1.1× 30 0.4× 53 0.8× 174 2.6× 12 0.2× 11 605
Nathalie MacKinnon 287 2.7× 44 0.6× 89 1.3× 103 1.5× 12 0.2× 13 577
Sandra E. Sinisi 32 0.3× 322 4.1× 37 0.5× 82 1.2× 60 0.9× 10 669

Countries citing papers authored by Laurie Berrie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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