Daniel Anglés‐Alcázar
- Astronomy and Astrophysics top 0.5%
- Instrumentation top 0.5%
- Nuclear and High Energy Physics top 2%
- Artificial Intelligence top 10%
- Global and Planetary Change top 10%
- Co-authors
- Romeel DavéClaude‐André Faucher‐GiguèrePhilip F. HopkinsDušan KerešDesika NarayananEliot QuataertSarah ApplebyMika Rafieferantsoa
- Topics
- Galaxies: Formation, Evolution, Phenomena (85 papers)Astronomy and Astrophysical Research (33 papers)Astrophysics and Star Formation Studies (30 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Astrophysical Journal
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Daniel Anglés‐Alcázar
92 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Astronomy and Astrophysics 3.7k
- Instrumentation 1.3k
- Nuclear and High Energy Physics 767
- Artificial Intelligence 171
- Global and Planetary Change 156
Countries citing papers authored by Daniel Anglés‐Alcázar
This map shows the geographic impact of Daniel Anglés‐Alcázar'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 Daniel Anglés‐Alcázar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Anglés‐Alcázar more than expected).
Fields of papers citing papers by Daniel Anglés‐Alcázar
This network shows the impact of papers produced by Daniel Anglés‐Alcázar. 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 Daniel Anglés‐Alcázar. The network helps show where Daniel Anglés‐Alcázar may publish in the future.
Co-authorship network of co-authors of Daniel Anglés‐Alcázar
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Anglés‐Alcázar. A scholar is included among the top collaborators of Daniel Anglés‐Alcázar 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 Daniel Anglés‐Alcázar. Daniel Anglés‐Alcázar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 33 | |
| 12 | 71 | |
| 13 | 49 | |
| 14 | 93 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 52 | |
| 18 | 127 | |
| 19 | 3 | |
| 20 | 17 |
About Daniel Anglés‐Alcázar
Daniel Anglés‐Alcázar is a scholar working on Instrumentation, Astronomy and Astrophysics and Computational Mathematics, having authored 98 papers that have together received 3.9k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (85 papers), Astronomy and Astrophysical Research (33 papers) and Astrophysics and Star Formation Studies (30 papers). The work is most often cited by research in Instrumentation (1.3k citations), Astronomy and Astrophysics (3.7k citations) and Nuclear and High Energy Physics (767 citations). Daniel Anglés‐Alcázar has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Romeel Davé, Claude‐André Faucher‐Giguère, Philip F. Hopkins, Dušan Kereš, Desika Narayanan, Eliot Quataert, Sarah Appleby, Mika Rafieferantsoa, Qi Li and Norman Murray. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Astrophysical Journal.
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.