Ryan E. Keeley
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories 14
- Galaxies: Formation, Evolution, Phenomena 11
- Gamma-ray bursts and supernovae 10
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- Dark Matter and Cosmic Phenomena 6
- Astrophysics and Cosmic Phenomena 5
- Instrumentation top 10%
- Astronomy and Astrophysical Research 4
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- Gaussian Processes and Bayesian Inference 3
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- Earth Systems and Cosmic Evolution 1
- Co-authors
- Manoj KaplinghatArman ShafielooKevork N. AbazajianHai-Bo YuTim LindenShahab JoudakiD. KirkbyEric V. Linder
- Journals
- Physical review. D (5 papers)Monthly Notices of the Royal Astronomical Society (4 papers)The Astrophysical Journal (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ryan E. Keeley
21 papers receiving 579 citations
Peers
Comparison fields: 5 of 41
- Astronomy and Astrophysics 553
- Nuclear and High Energy Physics 350
- Instrumentation 49
- Statistical and Nonlinear Physics 27
- Oceanography 16
Countries citing papers authored by Ryan E. Keeley
This map shows the geographic impact of Ryan E. Keeley'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 Ryan E. Keeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan E. Keeley more than expected).
Fields of papers citing papers by Ryan E. Keeley
This network shows the impact of papers produced by Ryan E. Keeley. 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 Ryan E. Keeley. The network helps show where Ryan E. Keeley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryan E. Keeley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 42 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 29 | |
| 14 | Determining $H_0$ Model-Independently and Consistency Tests | 2020 | 1 |
| 15 | 2020 | 48 | |
| 16 | 2019 | 69 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 82 | |
| 19 | 2016 | 38 | |
| 20 | 2014 | 119 |
About Ryan E. Keeley
Ryan E. Keeley is a scholar working on Astronomy and Astrophysics, Instrumentation, Nuclear and High Energy Physics, Artificial Intelligence and Atmospheric Science, having authored 22 papers that have together received 611 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (14 papers), Galaxies: Formation, Evolution, Phenomena (11 papers), Gamma-ray bursts and supernovae (10 papers), Dark Matter and Cosmic Phenomena (6 papers), Astrophysics and Cosmic Phenomena (5 papers), Astronomy and Astrophysical Research (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Earth Systems and Cosmic Evolution (1 paper). The work is most often cited by research in Astronomy and Astrophysics (553 citations), Nuclear and High Energy Physics (350 citations), Instrumentation (49 citations), Statistical and Nonlinear Physics (27 citations) and Oceanography (16 citations). Ryan E. Keeley has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Manoj Kaplinghat, Arman Shafieloo, Kevork N. Abazajian, Hai-Bo Yu, Tim Linden, Shahab Joudaki, D. Kirkby, Eric V. Linder, Kai Liao and Benjamin L’Huillier. Their work appears in journals such as Physical review. D, Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal, Physical Review Letters and Universe.
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.