Ricardo R. Muñoz
- Astronomy and Astrophysics top 2%
- Instrumentation top 1%
- Nuclear and High Energy Physics top 10%
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Co-authors
- Marla GehaJoshua D. SimonManoj KaplinghatJames S. BullockGregory D. MartinezJoe WolfSteven R. MajewskiKathryn V. Johnston
- Topics
- Stellar, planetary, and galactic studies (33 papers)Galaxies: Formation, Evolution, Phenomena (20 papers)Astrophysics and Star Formation Studies (17 papers)
- Journals
- The Astrophysical JournalMonthly Notices of the Royal Astronomical SocietyExpert Systems with Applications
- Partner nations
- ChileUnited StatesGermany
In The Last Decade
Ricardo R. Muñoz
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Astronomy and Astrophysics 1.2k
- Instrumentation 619
- Nuclear and High Energy Physics 208
- Statistical and Nonlinear Physics 35
- Artificial Intelligence 29
Countries citing papers authored by Ricardo R. Muñoz
This map shows the geographic impact of Ricardo R. Muñoz'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 Ricardo R. Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo R. Muñoz more than expected).
Fields of papers citing papers by Ricardo R. Muñoz
This network shows the impact of papers produced by Ricardo R. Muñoz. 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 Ricardo R. Muñoz. The network helps show where Ricardo R. Muñoz may publish in the future.
Co-authorship network of co-authors of Ricardo R. Muñoz
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo R. Muñoz. A scholar is included among the top collaborators of Ricardo R. Muñoz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricardo R. Muñoz. Ricardo R. Muñoz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 23 | |
| 15 | 29 | |
| 16 | Accurate masses for dispersion-supported galaxiesbreakdown → | 472 |
| 17 | 14 | |
| 18 | 75 | |
| 19 | 21 | |
| 20 | The Grid Giant Star Survey for the SIM Astrometric Grid | 0 |
About Ricardo R. Muñoz
Ricardo R. Muñoz is a scholar working on Instrumentation, Astronomy and Astrophysics and Statistics and Probability, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (33 papers), Galaxies: Formation, Evolution, Phenomena (20 papers) and Astrophysics and Star Formation Studies (17 papers). The work is most often cited by research in Instrumentation (619 citations), Astronomy and Astrophysics (1.2k citations) and Nuclear and High Energy Physics (208 citations). Ricardo R. Muñoz has collaborated with scholars based in Chile, United States and Germany. Frequent co-authors include Marla Geha, Joshua D. Simon, Manoj Kaplinghat, James S. Bullock, Gregory D. Martinez, Joe Wolf, Steven R. Majewski, Kathryn V. Johnston, Richard J. Patterson and Peter M. Frinchaboy. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Expert Systems with Applications.
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.