Rachel Reddick
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 5%
- Galaxies: Formation, Evolution, Phenomena
- Stellar, planetary, and galactic studies
- Cosmology and Gravitation Theories
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 3
- Cosmology and Gravitation Theories 1
-
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- Risa H. Wechsler (3 shared papers)E. S. Rykoff (2 shared papers)Eduardo Rozo (2 shared papers)T. Sadibekova (1 shared paper)Alexie Leauthaud (1 shared paper)A. E. Evrard (1 shared paper)E. Sheldon (1 shared paper)Jiangang Hao (1 shared paper)
- Journals
- The Astrophysical Journal (3 papers)Digital Commons - DU (University of Denver) (1 paper)Educational Data Mining (1 paper)
- Partner nations
- United StatesSwitzerlandFinland
In The Last Decade
Rachel Reddick
5 papers receiving 415 citations
Rachel Reddick's Hit Papers
Peers
Comparison fields: 5 of 31
- Instrumentation 217
- Astronomy and Astrophysics 417
- Nuclear and High Energy Physics 70
- Ecology 55
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Rachel Reddick
This map shows the geographic impact of Rachel Reddick'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 Rachel Reddick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Reddick more than expected).
Fields of papers citing papers by Rachel Reddick
This network shows the impact of papers produced by Rachel Reddick. 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 Rachel Reddick. The network helps show where Rachel Reddick may publish in the future.
Co-authors
The 19 scholars most cited alongside Rachel Reddick, 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 | redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG Hit paper breakdown → | 2014 | 393 |
| 2 | 2014 | 23 | |
| 3 | 2020 | 15 | |
| 4 | Using a Glicko-Based Algorithm to Measure In-Course Learning. | 2019 | 2 |
| 5 | Got a Minute? Instruction Tune-Up for Time Pressed Librarians | 2016 | 1 |
About Rachel Reddick
Rachel Reddick is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 5 papers that have together received 434 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (3 papers), Web and Library Services (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Online Learning and Analytics (1 paper), Mobile Learning in Education (1 paper), Cosmology and Gravitation Theories (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Instrumentation (217 citations), Astronomy and Astrophysics (417 citations), Nuclear and High Energy Physics (70 citations), Ecology (55 citations) and Computer Vision and Pattern Recognition (25 citations). Rachel Reddick has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Risa H. Wechsler, E. S. Rykoff, Eduardo Rozo, T. Sadibekova, Alexie Leauthaud, A. E. Evrard, E. Sheldon, Jiangang Hao, M. Pierre and B. Nord. Their work appears in journals such as The Astrophysical Journal, Digital Commons - DU (University of Denver) and Educational Data Mining.
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.