Daniel Grin

3.6k total citations · 2 hit papers
38 papers, 1.4k citations indexed

About

Daniel Grin is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Daniel Grin has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Astronomy and Astrophysics, 34 papers in Nuclear and High Energy Physics and 3 papers in Oceanography. Recurrent topics in Daniel Grin's work include Cosmology and Gravitation Theories (37 papers), Dark Matter and Cosmic Phenomena (30 papers) and Galaxies: Formation, Evolution, Phenomena (17 papers). Daniel Grin is often cited by papers focused on Cosmology and Gravitation Theories (37 papers), Dark Matter and Cosmic Phenomena (30 papers) and Galaxies: Formation, Evolution, Phenomena (17 papers). Daniel Grin collaborates with scholars based in United States, United Kingdom and Canada. Daniel Grin's co-authors include Renée Hložek, David J. E. Marsh, Marc Kamionkowski, Pedro G. Ferreira, Tristan L. Smith, Vivian Poulin, Tanvi Karwal, Jens Chluba, Olivier Doré and Christopher M. Hirata 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

Daniel Grin

38 papers receiving 1.4k citations

Hit Papers

A search for ultralight axions using precision cosmologic... 2015 2026 2018 2022 2015 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Grin United States 20 1.3k 1.1k 123 67 55 38 1.4k
Kimberly K. Boddy United States 21 1.4k 1.0× 1.3k 1.2× 143 1.2× 76 1.1× 56 1.0× 40 1.6k
Samuel J. Witte Spain 19 981 0.7× 943 0.8× 131 1.1× 35 0.5× 38 0.7× 39 1.2k
Toyokazu Sekiguchi Japan 20 1.3k 1.0× 1.3k 1.1× 163 1.3× 41 0.6× 18 0.3× 45 1.5k
Samuel D. McDermott United States 23 1.5k 1.1× 1.9k 1.6× 247 2.0× 74 1.1× 18 0.3× 39 2.1k
Torsten Bringmann Germany 33 2.6k 2.0× 3.2k 2.8× 222 1.8× 95 1.4× 58 1.1× 69 3.4k
Maurizio Giannotti United States 25 1.3k 1.0× 1.9k 1.7× 239 1.9× 31 0.5× 14 0.3× 66 2.1k
Ruth A. Daly United States 20 1.5k 1.2× 1.2k 1.0× 55 0.4× 98 1.5× 65 1.2× 52 1.6k
Marco Taoso Italy 23 1.2k 0.9× 1.4k 1.2× 95 0.8× 49 0.7× 8 0.1× 48 1.6k
Masha Baryakhtar United States 15 1.2k 0.9× 1.2k 1.0× 351 2.9× 49 0.7× 27 0.5× 20 1.6k
M. Hicken United States 13 1.2k 0.9× 497 0.4× 35 0.3× 38 0.6× 136 2.5× 14 1.3k

Countries citing papers authored by Daniel Grin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Grin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Grin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Grin. A scholar is included among the top collaborators of Daniel Grin 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 Daniel Grin. Daniel Grin 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.
Lidz, Adam, et al.. (2025). Fuzzy dark matter constraints from the Hubble Frontier Fields. Monthly Notices of the Royal Astronomical Society. 538(3). 1830–1842. 4 indexed citations
2.
Hu, Wayne, et al.. (2025). Accurate method for ultralight axion CMB and matter power spectra. Physical review. D. 112(2). 1 indexed citations
3.
Ashoorioon, Amjad, et al.. (2024). Cascading Dark Energy. The Astrophysical Journal. 975(1). 137–137. 11 indexed citations
4.
Bianchini, F., J. Richard Bond, Jens Chluba, et al.. (2023). CMB-S4 forecasts for constraints on fNL through μ-distortion anisotropy. Physical review. D. 108(10). 9 indexed citations
5.
Wright, E. M., et al.. (2022). Searching for Chameleon Dark Energy with Mechanical Systems. Physical Review Letters. 129(13). 131302–131302. 8 indexed citations
6.
Grin, Daniel, et al.. (2021). Searching for Vector Dark Matter with an Optomechanical Accelerometer. Physical Review Letters. 126(6). 61301–61301. 41 indexed citations
7.
Laguë, Alex, J. Richard Bond, Renée Hložek, et al.. (2021). Constraining Ultralight Axions with Galaxy Surveys. arXiv (Cornell University). 72 indexed citations
8.
Benson, Andrew, et al.. (2021). A Random Walk Model for Dark Matter Halo Concentrations. The Astrophysical Journal. 908(1). 33–33. 5 indexed citations
9.
Smith, Tristan L., et al.. (2019). Probing spatial variation of the fine-structure constant using the CMB. Physical review. D. 99(4). 12 indexed citations
10.
Hložek, Renée, David J. E. Marsh, Daniel Grin, et al.. (2017). Future CMB tests of dark matter: Ultralight axions and massive neutrinos. Physical review. D. 95(12). 59 indexed citations
11.
Smith, Tristan L., et al.. (2017). Baryons still trace dark matter: Probing CMB lensing maps for hidden isocurvature. Physical review. D. 96(8). 15 indexed citations
12.
Muñoz, Julián B., Daniel Grin, Liang Dai, Marc Kamionkowski, & Ely D. Kovetz. (2016). Search for compensated isocurvature perturbations with Planck power spectra. Physical review. D. 93(4). 30 indexed citations
13.
Hložek, Renée, Daniel Grin, David J. E. Marsh, & Pedro G. Ferreira. (2015). A search for ultralight axions using precision cosmological data. Physical review. D. Particles, fields, gravitation, and cosmology. 91(10). 306 indexed citations breakdown →
14.
He, Chen, Daniel Grin, & Wayne Hu. (2015). Compensated isocurvature perturbations in the curvaton model. Physical review. D. Particles, fields, gravitation, and cosmology. 92(6). 22 indexed citations
15.
Marsh, David J. E., Daniel Grin, Renée Hložek, & Pedro G. Ferreira. (2014). Tensor Interpretation of BICEP2 Results Severely Constrains Axion Dark Matter. Physical Review Letters. 113(1). 11801–11801. 40 indexed citations
16.
Amin, Mustafa A. & Daniel Grin. (2014). Probing early-universe phase transitions with CMB spectral distortions. Physical review. D. Particles, fields, gravitation, and cosmology. 90(8). 9 indexed citations
17.
Chluba, Jens, Liang Dai, Daniel Grin, Mustafa A. Amin, & Marc Kamionkowski. (2014). Spectral distortions from the dissipation of tensor perturbations. Monthly Notices of the Royal Astronomical Society. 446(3). 2871–2886. 21 indexed citations
18.
Grin, Daniel, Olivier Doré, & Marc Kamionkowski. (2011). Do Baryons Trace Dark Matter in the Early Universe?. Physical Review Letters. 107(26). 261301–261301. 22 indexed citations
19.
Grin, Daniel & Christopher M. Hirata. (2010). Cosmological hydrogen recombination: The effect of extremely high-nstates. Physical review. D. Particles, fields, gravitation, and cosmology. 81(8). 38 indexed citations
20.
Caldwell, Robert R. & Daniel Grin. (2008). Lower Limit to the Scale of an Effective Quantum Theory of Gravitation. Physical Review Letters. 100(3). 31301–31301. 5 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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