C. Danielle Leonard

1.1k total citations
18 papers, 193 citations indexed

About

C. Danielle Leonard is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, C. Danielle Leonard has authored 18 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 5 papers in Instrumentation. Recurrent topics in C. Danielle Leonard's work include Cosmology and Gravitation Theories (12 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Black Holes and Theoretical Physics (8 papers). C. Danielle Leonard is often cited by papers focused on Cosmology and Gravitation Theories (12 papers), Galaxies: Formation, Evolution, Phenomena (8 papers) and Black Holes and Theoretical Physics (8 papers). C. Danielle Leonard collaborates with scholars based in United Kingdom, United States and Canada. C. Danielle Leonard's co-authors include Tessa Baker, Pedro G. Ferreira, Robert B. Mann, Rupert Allison, Mariele Motta, G. Kunstatter, Philip Bull, Rachel Mandelbaum, Nils Deppe and Markus Michael Rau and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Journal of High Energy Physics.

In The Last Decade

C. Danielle Leonard

16 papers receiving 183 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Danielle Leonard United Kingdom 8 180 103 24 21 14 18 193
Z. Sakr Lebanon 10 162 0.9× 82 0.8× 14 0.6× 19 0.9× 18 1.3× 19 172
Bruce Partridge United States 7 222 1.2× 140 1.4× 11 0.5× 14 0.7× 11 0.8× 18 247
Caroline Zunckel South Africa 8 215 1.2× 110 1.1× 16 0.7× 9 0.4× 15 1.1× 10 223
Purba Mukherjee India 10 244 1.4× 105 1.0× 36 1.5× 28 1.3× 14 1.0× 22 267
L. T. Hergt Canada 7 203 1.1× 144 1.4× 13 0.5× 12 0.6× 24 1.7× 12 227
Enea Di Dio Switzerland 11 277 1.5× 119 1.2× 23 1.0× 34 1.6× 6 0.4× 21 290
I. Tutusaus France 8 172 1.0× 86 0.8× 12 0.5× 22 1.0× 6 0.4× 22 183
Tiziano Schiavone Italy 5 232 1.3× 122 1.2× 8 0.3× 15 0.7× 17 1.2× 7 239
F. Lacasa Switzerland 9 141 0.8× 50 0.5× 11 0.5× 25 1.2× 4 0.3× 17 149
Bikash R. Dinda India 9 242 1.3× 106 1.0× 30 1.3× 13 0.6× 20 1.4× 19 265

Countries citing papers authored by C. Danielle Leonard

Since Specialization
Citations

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

Fields of papers citing papers by C. Danielle Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Danielle Leonard. 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 C. Danielle Leonard. The network helps show where C. Danielle Leonard may publish in the future.

Co-authorship network of co-authors of C. Danielle Leonard

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

All Works

18 of 18 papers shown
1.
Zhang, Tianqing, Rachel Mandelbaum, Markus Michael Rau, et al.. (2025). Forecasting the impact of source galaxy photometric redshift uncertainties on the LSST 3 × 2pt analysis. Monthly Notices of the Royal Astronomical Society. 545(2).
2.
Šarčević, N., C. Danielle Leonard, & Markus Michael Rau. (2025). Joint modelling of astrophysical systematics for cosmology with LSST cosmic shear. Monthly Notices of the Royal Astronomical Society. 537(2). 1924–1948. 2 indexed citations
3.
Leonard, C. Danielle, et al.. (2025). Principal components for model-agnostic modified gravity with 3×2pt data. Physical review. D. 112(6).
4.
Leonard, C. Danielle, Markus Michael Rau, & Rachel Mandelbaum. (2024). Photometric redshifts and intrinsic alignments: Degeneracies and biases in the 3×2pt analysis. Physical review. D. 109(8). 6 indexed citations
5.
Campbell, Duncan, J. Blazek, C. Danielle Leonard, et al.. (2024). An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations. SHILAP Revista de lepidopterología. 7. 2 indexed citations
6.
Leonard, C. Danielle, et al.. (2024). Intrinsic alignment from multiple shear estimates: a first application to data and forecasts for stage IV. Monthly Notices of the Royal Astronomical Society. 528(2). 2980–2999. 1 indexed citations
7.
Alonso, David, et al.. (2024). Accuracy requirements on intrinsic alignments for Stage-IV cosmic shear. SHILAP Revista de lepidopterología. 7. 6 indexed citations
8.
Leonard, C. Danielle, et al.. (2024). Cosmological constraints on 4-dimensional Einstein-Gauss-Bonnet gravity. Journal of Cosmology and Astroparticle Physics. 2024(1). 43–43. 7 indexed citations
9.
Leonard, C. Danielle, Xiao Fang, Robert Reischke, et al.. (2023). The N5K Challenge: Non-Limber Integration for LSST Cosmology. SHILAP Revista de lepidopterología. 6. 14 indexed citations
10.
Leonard, C. Danielle & Rachel Mandelbaum. (2018). Measuring the scale dependence of intrinsic alignments using multiple shear estimates. Monthly Notices of the Royal Astronomical Society. 479(1). 1412–1426. 7 indexed citations
11.
Amon, A., Cullen H. Blake, Catherine Heymans, et al.. (2018). KiDS+2dFLenS+GAMA: testing the cosmological model with the EG statistic. Monthly Notices of the Royal Astronomical Society. 479(3). 3422–3437. 39 indexed citations
12.
Leonard, C. Danielle, Philip Bull, & Rupert Allison. (2016). Spatial curvature endgame: Reaching the limit of curvature determination. Physical review. D. 94(2). 20 indexed citations
13.
Leonard, C. Danielle, Tessa Baker, & Pedro G. Ferreira. (2015). Exploring degeneracies in modified gravity with weak lensing. Physical review. D. Particles, fields, gravitation, and cosmology. 91(8). 20 indexed citations
14.
Baker, Tessa, Pedro G. Ferreira, C. Danielle Leonard, & Mariele Motta. (2014). New gravitational scales in cosmological surveys. Physical review. D. Particles, fields, gravitation, and cosmology. 90(12). 28 indexed citations
15.
Leonard, C. Danielle, et al.. (2014). Numerical boson stars with a single Killing vector. I. TheD5case. Physical review. D. Particles, fields, gravitation, and cosmology. 89(4). 11 indexed citations
16.
Deppe, Nils, et al.. (2012). Critical collapse in Einstein-Gauss-Bonnet gravity in five and six dimensions. Physical review. D. Particles, fields, gravitation, and cosmology. 86(10). 13 indexed citations
17.
Leonard, C. Danielle, et al.. (2011). Gravitational collapse of K-essence matter in Painlevè-Gullstrand coordinates. Journal of High Energy Physics. 2011(10). 7 indexed citations
18.
Leonard, C. Danielle, et al.. (2011). Hamiltonian formulation of scalar field collapse in Einstein–Gauss–Bonnet gravity. Classical and Quantum Gravity. 29(1). 15012–15012. 10 indexed citations

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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