Daniela Carrasco
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
- Radio Astronomy Observations and Technology
- Astrophysics and Star Formation Studies
- Astrophysical Phenomena and Observations
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 4
- Gamma-ray bursts and supernovae 2
- Radio Astronomy Observations and Technology 1
-
- Astrophysics and Cosmic Phenomena 2
- Co-authors
- Pascal A. Oesch (3 shared papers)Michele Trenti (3 shared papers)S. Bernard (2 shared papers)Tommaso Treu (2 shared papers)M. Stiavelli (2 shared papers)Charlotte Mason (2 shared papers)Larry Bradley (2 shared papers)R. J. Bouwens (2 shared papers)
- Journals
- The Astrophysical Journal (2 papers)Publications of the Astronomical Society of Australia (1 paper)Springer Link (Chiba Institute of Technology) (1 paper)
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Daniela Carrasco
4 papers receiving 67 citations
Peers
Comparison fields: 5 of 13
- Instrumentation 46
- Astronomy and Astrophysics 68
- Nuclear and High Energy Physics 12
- Computer Vision and Pattern Recognition 3
- Statistics and Probability 1
Countries citing papers authored by Daniela Carrasco
This map shows the geographic impact of Daniela Carrasco'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 Daniela Carrasco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Carrasco more than expected).
Fields of papers citing papers by Daniela Carrasco
This network shows the impact of papers produced by Daniela Carrasco. 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 Daniela Carrasco. The network helps show where Daniela Carrasco may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Carrasco, 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 | 2016 | 38 | |
| 2 | 2015 | 15 | |
| 3 | 2016 | 13 | |
| 4 | 2018 | 5 |
About Daniela Carrasco
Daniela Carrasco is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Ecology and Instrumentation, having authored 4 papers that have together received 71 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (4 papers), Astrophysics and Cosmic Phenomena (2 papers), Gamma-ray bursts and supernovae (2 papers), Remote Sensing in Agriculture (1 paper), Radio Astronomy Observations and Technology (1 paper), Astronomy and Astrophysical Research (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Instrumentation (46 citations), Astronomy and Astrophysics (68 citations), Nuclear and High Energy Physics (12 citations), Computer Vision and Pattern Recognition (3 citations) and Statistics and Probability (1 citation). Daniela Carrasco has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Pascal A. Oesch, Michele Trenti, S. Bernard, Tommaso Treu, M. Stiavelli, Charlotte Mason, Larry Bradley, R. J. Bouwens, Benne W. Holwerda and Karim Pichara. Their work appears in journals such as The Astrophysical Journal, Publications of the Astronomical Society of Australia and Springer Link (Chiba Institute of Technology).
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.