Francisco Prada
- Astronomy and Astrophysics top 0.5%
- Instrumentation top 0.5%
- Nuclear and High Energy Physics top 2%
- Statistical and Nonlinear Physics top 2%
- Ecology top 10%
- Co-authors
- Anatoly KlypinAndrey V. KravtsovO. ValenzuelaChia-Hsun ChuangAntonio D. Montero-DortaR. F. PeletierGustavo YepesSantiago G. Patiri
- Topics
- Galaxies: Formation, Evolution, Phenomena (63 papers)Astronomy and Astrophysical Research (38 papers)Cosmology and Gravitation Theories (25 papers)
- Journals
- The Astrophysical JournalMonthly Notices of the Royal Astronomical SocietyThe Astrophysical Journal Supplement Series
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Francisco Prada
83 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Astronomy and Astrophysics 4.0k
- Instrumentation 1.6k
- Nuclear and High Energy Physics 1.3k
- Statistical and Nonlinear Physics 265
- Ecology 173
Countries citing papers authored by Francisco Prada
This map shows the geographic impact of Francisco Prada'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 Francisco Prada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Prada more than expected).
Fields of papers citing papers by Francisco Prada
This network shows the impact of papers produced by Francisco Prada. 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 Francisco Prada. The network helps show where Francisco Prada may publish in the future.
Co-authorship network of co-authors of Francisco Prada
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Prada. A scholar is included among the top collaborators of Francisco Prada 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 Francisco Prada. Francisco Prada 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 | 0 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 28 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 16 | |
| 10 | The Uchuu simulations: Data Release 1 and dark matter halo concentrationsbreakdown → | 162 |
| 11 | 37 | |
| 12 | 19 | |
| 13 | 9 | |
| 14 | 85 | |
| 15 | 46 | |
| 16 | LIRIS (long-slit intermediate resolution infrared spectrograph) project status | 1 |
| 17 | 20 | |
| 18 | 29 | |
| 19 | 7 | |
| 20 | 7 |
About Francisco Prada
Francisco Prada is a scholar working on Instrumentation, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 89 papers that have together received 4.2k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (63 papers), Astronomy and Astrophysical Research (38 papers) and Cosmology and Gravitation Theories (25 papers). The work is most often cited by research in Instrumentation (1.6k citations), Astronomy and Astrophysics (4.0k citations) and Nuclear and High Energy Physics (1.3k citations). Francisco Prada has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Anatoly Klypin, Andrey V. Kravtsov, O. Valenzuela, Chia-Hsun Chuang, Antonio D. Montero-Dorta, R. F. Peletier, Gustavo Yepes, Santiago G. Patiri, A. Vazdekis and G. A. Mamon. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.
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.