Cora Dvorkin

3.0k total citations · 1 hit paper
54 papers, 1.7k citations indexed

About

Cora Dvorkin is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Cora Dvorkin has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 26 papers in Nuclear and High Energy Physics and 7 papers in Instrumentation. Recurrent topics in Cora Dvorkin's work include Galaxies: Formation, Evolution, Phenomena (38 papers), Cosmology and Gravitation Theories (37 papers) and Dark Matter and Cosmic Phenomena (21 papers). Cora Dvorkin is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (38 papers), Cosmology and Gravitation Theories (37 papers) and Dark Matter and Cosmic Phenomena (21 papers). Cora Dvorkin collaborates with scholars based in United States, United Kingdom and Canada. Cora Dvorkin's co-authors include Wayne Hu, Julián B. Muñoz, Georgios Valogiannis, Ana Díaz Rivero, Kfir Blum, Marc Kamionkowski, Weishuang Linda Xu, Francis-Yan Cyr-Racine, Katelin Schutz and Tongyan Lin and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Cora Dvorkin

52 papers receiving 1.7k citations

Hit Papers

Towards an optimal estimation of cosmological parameters ... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cora Dvorkin United States 24 1.5k 1.1k 159 147 97 54 1.7k
N. Aghanim France 27 2.3k 1.5× 1.2k 1.1× 60 0.4× 244 1.7× 126 1.3× 80 2.4k
Craig J. Copi United States 20 1.8k 1.1× 1.2k 1.2× 91 0.6× 63 0.4× 167 1.7× 51 2.0k
Olivier Doré United States 27 2.8k 1.8× 1.3k 1.2× 139 0.9× 396 2.7× 172 1.8× 76 2.9k
Donghui Jeong United States 25 2.3k 1.5× 923 0.9× 67 0.4× 416 2.8× 206 2.1× 74 2.4k
K. Benabed France 18 1.4k 0.9× 656 0.6× 67 0.4× 235 1.6× 74 0.8× 30 1.5k
Guido D’Amico United States 22 1.8k 1.2× 1.4k 1.3× 60 0.4× 193 1.3× 157 1.6× 47 2.1k
S. Prunet France 23 2.0k 1.3× 923 0.9× 44 0.3× 282 1.9× 185 1.9× 74 2.2k
Robert Crittenden United Kingdom 30 2.7k 1.7× 1.3k 1.2× 86 0.5× 298 2.0× 122 1.3× 68 2.8k
Julien Lesgourgues France 32 2.7k 1.8× 2.3k 2.2× 110 0.7× 128 0.9× 170 1.8× 66 3.1k
Arman Shafieloo South Korea 26 2.4k 1.6× 1.3k 1.2× 44 0.3× 151 1.0× 137 1.4× 82 2.5k

Countries citing papers authored by Cora Dvorkin

Since Specialization
Citations

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

Fields of papers citing papers by Cora Dvorkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cora Dvorkin

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

All Works

20 of 20 papers shown
1.
Daylan, Tansu, Simon Birrer, Francis-Yan Cyr-Racine, et al.. (2025). The Roman View of Strong Gravitational Lenses. The Astrophysical Journal. 986(1). 42–42.
2.
Dvorkin, Cora, et al.. (2025). Field-level reconstruction from foreground-contaminated 21-cm maps. Journal of Cosmology and Astroparticle Physics. 2025(11). 82–82.
3.
Obied, Georges, et al.. (2024). Dark dimension and decaying dark matter gravitons. Physical review. D. 109(6). 19 indexed citations
4.
Birrer, Simon, et al.. (2023). Detecting low-mass perturbers in cluster lenses using curved arc bases. Monthly Notices of the Royal Astronomical Society. 526(2). 2525–2541. 4 indexed citations
5.
Dvorkin, Cora, et al.. (2023). Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation. Monthly Notices of the Royal Astronomical Society. 527(2). 4183–4192. 7 indexed citations
6.
Mishra-Sharma, Siddharth, et al.. (2023). Data compression and inference in cosmology with self-supervised machine learning. Monthly Notices of the Royal Astronomical Society. 527(3). 7459–7481. 14 indexed citations
7.
Ostdiek, Bryan, Ana Díaz Rivero, & Cora Dvorkin. (2022). Image segmentation for analyzing galaxy-galaxy strong lensing systems. Astronomy and Astrophysics. 657. L14–L14. 21 indexed citations
8.
Xu, Weishuang Linda, Julián B. Muñoz, & Cora Dvorkin. (2022). Cosmological constraints on light but massive relics. Physical review. D. 105(9). 31 indexed citations
9.
Ostdiek, Bryan, Ana Díaz Rivero, & Cora Dvorkin. (2022). Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation. The Astrophysical Journal. 927(1). 83–83. 19 indexed citations
10.
Dvorkin, Cora, et al.. (2022). Probing Dark Matter with Strong Gravitational Lensing through an Effective Density Slope. arXiv (Cornell University). 20 indexed citations
11.
Xu, Weishuang Linda, et al.. (2021). Accurately weighing neutrinos with cosmological surveys. Physical review. D. 103(2). 15 indexed citations
12.
Dvorkin, Cora, Tongyan Lin, & Katelin Schutz. (2021). Cosmology of Sub-MeV Dark Matter Freeze-In. Physical Review Letters. 127(11). 111301–111301. 45 indexed citations
13.
14.
Rivero, Ana Díaz & Cora Dvorkin. (2020). Flow-based likelihoods for non-Gaussian inference. Physical review. D. 102(10). 8 indexed citations
15.
Rivero, Ana Díaz & Cora Dvorkin. (2020). Direct detection of dark matter substructure in strong lens images with convolutional neural networks. Physical review. D. 101(2). 28 indexed citations
16.
Rivero, Ana Díaz & Cora Dvorkin. (2019). Circumventing Lens Modeling to Detect Dark Matter Substructure in Strong Lens Images with Convolutional Neural Networks. arXiv (Cornell University). 1 indexed citations
17.
Rivero, Ana Díaz, Vivian Miranda, & Cora Dvorkin. (2019). Observable predictions for massive-neutrino cosmologies with model-independent dark energy. Physical review. D. 100(6). 13 indexed citations
18.
Daylan, Tansu, Francis-Yan Cyr-Racine, Ana Díaz Rivero, Cora Dvorkin, & Douglas P. Finkbeiner. (2018). Probing the Small-scale Structure in Strongly Lensed Systems via Transdimensional Inference. The Astrophysical Journal. 854(2). 141–141. 30 indexed citations
19.
Smith, Kendrick M., Cora Dvorkin, Latham Boyle, et al.. (2014). Quantifying the BICEP2-Planck Tension over Gravitational Waves. Physical Review Letters. 113(3). 31301–31301. 27 indexed citations
20.
Dvorkin, Cora & Wayne Hu. (2010). CMB constraints on principal components of the inflaton potential. Physical review. D. Particles, fields, gravitation, and cosmology. 82(4). 21 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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