Ryan Riegel
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Stellar, planetary, and galactic studies
- Radio Astronomy Observations and Technology
- Cosmology and Gravitation Theories
Papers in
-
- Bayesian Modeling and Causal Inference 2
- Logic, Reasoning, and Knowledge 2
- Neural Networks and Applications 2
- Ecology 3
- Remote Sensing in Agriculture 3
- Co-authors
- Gordon T. Richards (3 shared papers)Adam D. Myers (2 shared papers)Alexander Gray (6 shared papers)Scott F. Anderson (1 shared paper)Donald P. Schneider (1 shared paper)Alexander S. Szalay (1 shared paper)Róbert Brunner (1 shared paper)R. C. Nichol (1 shared paper)
- Journals
- The Astrophysical Journal (1 paper)International Journal of Approximate Reasoning (1 paper)The Astrophysical Journal Supplement Series (1 paper)Proceedings of the National Academy of Sciences (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Ryan Riegel
7 papers receiving 246 citations
Peers
Comparison fields: 5 of 31
- Instrumentation 73
- Astronomy and Astrophysics 214
- Nuclear and High Energy Physics 50
- Artificial Intelligence 34
- Ecology 17
Countries citing papers authored by Ryan Riegel
This map shows the geographic impact of Ryan Riegel'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 Riegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Riegel more than expected).
Fields of papers citing papers by Ryan Riegel
This network shows the impact of papers produced by Ryan Riegel. 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 Riegel. The network helps show where Ryan Riegel may publish in the future.
Co-authors
The 24 scholars most cited alongside Ryan Riegel, 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 | 2008 | 187 | |
| 2 | 2015 | 36 | |
| 3 | 2022 | 19 | |
| 4 | 2008 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2012 | 1 | |
| 8 | 2024 | 0 |
About Ryan Riegel
Ryan Riegel is a scholar working on Artificial Intelligence, Ecology, Computational Theory and Mathematics, Astronomy and Astrophysics and Statistical and Nonlinear Physics, having authored 8 papers that have together received 254 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (3 papers), Rough Sets and Fuzzy Logic (3 papers), Galaxies: Formation, Evolution, Phenomena (2 papers), Bayesian Modeling and Causal Inference (2 papers), Logic, Reasoning, and Knowledge (2 papers), Neural Networks and Applications (2 papers), Gamma-ray bursts and supernovae (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Instrumentation (73 citations), Astronomy and Astrophysics (214 citations), Nuclear and High Energy Physics (50 citations), Artificial Intelligence (34 citations) and Ecology (17 citations). Ryan Riegel has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Gordon T. Richards, Adam D. Myers, Alexander Gray, Scott F. Anderson, Donald P. Schneider, Alexander S. Szalay, Róbert Brunner, R. C. Nichol, Prithviraj Sen and Alexander Gray. Their work appears in journals such as The Astrophysical Journal, International Journal of Approximate Reasoning, The Astrophysical Journal Supplement Series, Proceedings of the National Academy of Sciences and Proceedings of the AAAI Conference on Artificial Intelligence.
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.