Javier M. Magán
- Nuclear and High Energy Physics top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 2%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Paweł CaputaVijay BalasubramanianQingyue WuHoracio CasiniJ.L.F. BarbónAlbion LawrenceStefan VandorenPablo Bueno
- Topics
- Black Holes and Theoretical Physics (27 papers)Cosmology and Gravitation Theories (18 papers)Quantum many-body systems (15 papers)
- Partner nations
- ArgentinaUnited StatesBelgium
In The Last Decade
Javier M. Magán
37 papers receiving 765 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 415
- Atomic and Molecular Physics, and Optics 413
- Statistical and Nonlinear Physics 379
- Astronomy and Astrophysics 291
- Artificial Intelligence 142
Countries citing papers authored by Javier M. Magán
This map shows the geographic impact of Javier M. Magán'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 Javier M. Magán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier M. Magán more than expected).
Fields of papers citing papers by Javier M. Magán
This network shows the impact of papers produced by Javier M. Magán. 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 Javier M. Magán. The network helps show where Javier M. Magán may publish in the future.
Co-authorship network of co-authors of Javier M. Magán
This figure shows the co-authorship network connecting the top 25 collaborators of Javier M. Magán. A scholar is included among the top collaborators of Javier M. Magán 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 Javier M. Magán. Javier M. Magán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 24 | |
| 6 | 23 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 40 | |
| 12 | Quantum chaos and the complexity of spread of statesbreakdown → | 158 |
| 13 | 10 | |
| 14 | 110 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 44 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | Memory as order-parameter on a Cayley Tree | 1 |
About Javier M. Magán
Javier M. Magán is a scholar working on Nuclear and High Energy Physics, Computational Mathematics and Statistical and Nonlinear Physics, having authored 37 papers that have together received 780 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (27 papers), Cosmology and Gravitation Theories (18 papers) and Quantum many-body systems (15 papers). The work is most often cited by research in Nuclear and High Energy Physics (415 citations), Statistical and Nonlinear Physics (379 citations) and Astronomy and Astrophysics (291 citations). Javier M. Magán has collaborated with scholars based in Argentina, United States and Belgium. Frequent co-authors include Paweł Caputa, Vijay Balasubramanian, Qingyue Wu, Horacio Casini, J.L.F. Barbón, Albion Lawrence, Stefan Vandoren, Pablo Bueno, Temple He and Roberto Emparan. Their work appears in journals such as Physical Review Letters, Physical Review A and Journal of High Energy Physics.
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.