Sarah Bridle

10.4k total citations · 1 hit paper
30 papers, 3.1k citations indexed

About

Sarah Bridle is a scholar working on Astronomy and Astrophysics, Ecology and Nuclear and High Energy Physics. According to data from OpenAlex, Sarah Bridle has authored 30 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 7 papers in Ecology and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Sarah Bridle's work include Cosmology and Gravitation Theories (16 papers), Galaxies: Formation, Evolution, Phenomena (13 papers) and Agriculture Sustainability and Environmental Impact (7 papers). Sarah Bridle is often cited by papers focused on Cosmology and Gravitation Theories (16 papers), Galaxies: Formation, Evolution, Phenomena (13 papers) and Agriculture Sustainability and Environmental Impact (7 papers). Sarah Bridle collaborates with scholars based in United Kingdom, United States and Russia. Sarah Bridle's co-authors include Antony Lewis, O. Lahav, F. B. Abdalla, Rachel Mandelbaum, B Joachimi, Paul J. Steinhardt, Jeremiah P. Ostriker, Eleonora Di Valentino, J. Zuntz and N. MacCrann and has published in prestigious journals such as Science, Monthly Notices of the Royal Astronomical Society and Physics Letters B.

In The Last Decade

Sarah Bridle

27 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cosmological parameters from CMB and other data: A Monte Carlo approach

2002 2.2k citations Antony Lewis, Sarah Bridle Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields profile →

Peers

Sarah Bridle

NHEP

INSTR

OCEAN

SNP

Lachlan Campbell Australia

Michael D. Gregg United States

Britton Smith United States

Dominik J. Schwarz Germany

S. Serjeant United Kingdom

Erica J. Nelson United States

E. Pierpaoli United States

M. Smith United Kingdom

P. A. Hughes United States

K. C. Sahu United States

Lachlan Campbell Australia

Sarah Bridle

2.1k ×0.8

1.2k ×0.7

NHEP

266 ×1.0

INSTR

124 ×0.8

OCEAN

102 ×0.8

SNP

Citations per year, relative to Sarah Bridle Sarah Bridle (= 1×) peers Lachlan Campbell

Countries citing papers authored by Sarah Bridle

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Bridle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Bridle

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cordero, J., I. Harrison, Sarah Bridle, et al.. (2024). AgriFoodPy: a package for modelling foodsystems. The Journal of Open Source Software. 9(97). 6305–6305.

Jones, Aled, et al.. (2024). Results of a Survey of UK Farmers on Food System Vulnerability over the Short and Long Term. Sustainability. 16(16). 6851–6851.

Kluczkovski, Alana, Jacqueline Tereza da Silva, Joanne Cook, et al.. (2022). An Environmental and Nutritional Evaluation of School Food Menus in Bahia, Brazil That Contribute to Local Public Policy to Promote Sustainability. Nutrients. 14(7). 1519–1519. 13 indexed citations

Erp, Marieke van, Christian Reynolds, Diana Maynard, et al.. (2021). Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food. Frontiers in Artificial Intelligence. 3. 621577–621577. 32 indexed citations

Lucia, G de, N Tessore, & Sarah Bridle. (2021). The unequal-time matter power spectrum: impact on weak lensing observables. Journal of Cosmology and Astroparticle Physics. 2021(8). 1–1. 7 indexed citations

Kluczkovski, Alana, Carla Adriano Martins, Christian Reynolds, et al.. (2021). Learning in lockdown: Using the COVID‐19 crisis to teach children about food and climate change. Nutrition Bulletin. 46(2). 206–215. 5 indexed citations

Silva, Jacqueline Tereza da, Josefa Maria Fellegger Garzillo, Fernanda Rauber, et al.. (2021). Greenhouse gas emissions, water footprint, and ecological footprint of food purchases according to their degree of processing in Brazilian metropolitan areas: a time-series study from 1987 to 2018. The Lancet Planetary Health. 5(11). e775–e785. 65 indexed citations

Frankowska, Angelina, Ximena Schmidt Rivera, Sarah Bridle, et al.. (2020). Impacts of home cooking methods and appliances on the GHG emissions of food. Nature Food. 1(12). 787–791. 36 indexed citations

Cruz, Gabriela Lopes da, Fernanda Rauber, Maria Laura da Costa Louzada, et al.. (2020). The impact of ultra-processed food on carbon, water and ecological footprints of food in Brazil. European Journal of Public Health. 30(Supplement_5). 7 indexed citations

10.

Balcerzak, Adam P., Rita Ferreira de Sousa, Marika Ferrari, et al.. (2019). Using individual food consumption data to estimate the environmental impact of diets : the potentiality of the FAO/WHO GIFT platform. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations

11.

Valentino, Eleonora Di & Sarah Bridle. (2018). Exploring the Tension between Current Cosmic Microwave Background and Cosmic Shear Data. Symmetry. 10(11). 585–585. 49 indexed citations

12.

Tessore, N & Sarah Bridle. (2018). Moment-based ellipticity measurement as a statistical parameter estimation problem. New Astronomy. 69. 58–68. 1 indexed citations

13.

Bridle, Sarah, et al.. (2016). A combined view of sterile-neutrino constraints from CMB and neutrino oscillation measurements. Physics Letters B. 764. 322–327. 12 indexed citations

14.

Zuntz, J., M. Paterno, Elise Jennings, et al.. (2014). CosmoSIS: Cosmological parameter estimation. Astrophysics Source Code Library.

15.

Bridle, Sarah, et al.. (2013). Optimizing cosmic shear surveys to measure modifications to gravity on cosmic scales. Monthly Notices of the Royal Astronomical Society. 430(1). 197–208. 7 indexed citations

16.

Joachimi, B, Rachel Mandelbaum, F. B. Abdalla, & Sarah Bridle. (2011). Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample. Springer Link (Chiba Institute of Technology). 172 indexed citations

17.

Lewis, Antony & Sarah Bridle. (2011). CosmoMC: Cosmological MonteCarlo. Astrophysics Source Code Library. 3 indexed citations

18.

Kaplinghat, Manoj & Sarah Bridle. (2005). Testing for a super-acceleration phase of the universe. Physical review. D. Particles, fields, gravitation, and cosmology. 71(12). 11 indexed citations

19.

Allen, S. W., R. W. Schmidt, & Sarah Bridle. (2003). A preference for a non-zero neutrino mass from cosmological data. Monthly Notices of the Royal Astronomical Society. 346(2). 593–600. 70 indexed citations

20.

Lewis, Antony & Sarah Bridle. (2002). Cosmological parameters from CMB and other data: A Monte Carlo approach. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 66(10). 2154 indexed citations breakdown →

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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