Daniel Goddard
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 5%
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
Papers in
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- Galaxies: Formation, Evolution, Phenomena 8
- Stellar, planetary, and galactic studies 5
- Gamma-ray bursts and supernovae 2
- Astrophysics and Star Formation Studies 2
- Astrophysical Phenomena and Observations 1
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- Astronomy and Astrophysical Research 4
- Co-authors
- D. Thomas (8 shared papers)Claudia Maraston (7 shared papers)Jianhui Lian (5 shared papers)Taniya Parikh (2 shared papers)David M. Wilkinson (1 shared paper)James Trussler (2 shared papers)R. Maiolino (2 shared papers)Yingjie Peng (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (6 papers)The Astrophysical Journal Letters (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Daniel Goddard
8 papers receiving 359 citations
Peers
Comparison fields: 5 of 22
- Instrumentation 249
- Astronomy and Astrophysics 381
- Statistical and Nonlinear Physics 13
- Nuclear and High Energy Physics 12
- Computer Vision and Pattern Recognition 14
Countries citing papers authored by Daniel Goddard
This map shows the geographic impact of Daniel Goddard'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 Goddard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goddard more than expected).
Fields of papers citing papers by Daniel Goddard
This network shows the impact of papers produced by Daniel Goddard. 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 Goddard. The network helps show where Daniel Goddard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Goddard, 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 | 2019 | 122 | |
| 2 | 2017 | 116 | |
| 3 | 2018 | 43 | |
| 4 | 2017 | 43 | |
| 5 | 2017 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 19 | |
| 8 | 2018 | 1 |
About Daniel Goddard
Daniel Goddard is a scholar working on Astronomy and Astrophysics, Instrumentation, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 396 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (8 papers), Stellar, planetary, and galactic studies (5 papers), Astronomy and Astrophysical Research (4 papers), Gamma-ray bursts and supernovae (2 papers), Astrophysics and Star Formation Studies (2 papers) and Astrophysical Phenomena and Observations (1 paper). The work is most often cited by research in Instrumentation (249 citations), Astronomy and Astrophysics (381 citations), Statistical and Nonlinear Physics (13 citations), Nuclear and High Energy Physics (12 citations) and Computer Vision and Pattern Recognition (14 citations). Daniel Goddard has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include D. Thomas, Claudia Maraston, Jianhui Lian, Taniya Parikh, David M. Wilkinson, James Trussler, R. Maiolino, Yingjie Peng, Violeta González-Pérez and Johan Comparat. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Letters and Zenodo (CERN European Organization for Nuclear Research).
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.