J. E. García Navarro
- Nuclear and High Energy Physics top 10%
- Artificial Intelligence
- Astronomy and Astrophysics
- Computer Vision and Pattern Recognition
- Atomic and Molecular Physics, and Optics
- Topics
- Particle physics theoretical and experimental studies (6 papers)Adaptive optics and wavefront sensing (4 papers)Particle Detector Development and Performance (4 papers)
- Journals
- Physics Letters BMethods in Ecology and EvolutionNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
- Partner nations
- SpainFranceUnited States
In The Last Decade
J. E. García Navarro
19 papers receiving 217 citations
Peers
Comparison fields: 5 of 49
- Nuclear and High Energy Physics 123
- Artificial Intelligence 29
- Astronomy and Astrophysics 25
- Computer Vision and Pattern Recognition 25
- Atomic and Molecular Physics, and Optics 25
Countries citing papers authored by J. E. García Navarro
This map shows the geographic impact of J. E. García Navarro'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 J. E. García Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. E. García Navarro more than expected).
Fields of papers citing papers by J. E. García Navarro
This network shows the impact of papers produced by J. E. García Navarro. 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 J. E. García Navarro. The network helps show where J. E. García Navarro may publish in the future.
Co-authorship network of co-authors of J. E. García Navarro
This figure shows the co-authorship network connecting the top 25 collaborators of J. E. García Navarro. A scholar is included among the top collaborators of J. E. García Navarro 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 J. E. García Navarro. J. E. García Navarro 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 | 1 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | Prevención de lesiones en el padel | 1 |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | Exploring Little Higgs Models with ATLAS at the LHC | 65 |
| 18 | 26 | |
| 19 | 4 | |
| 20 | 7 |
About J. E. García Navarro
J. E. García Navarro is a scholar working on Instrumentation, Life-span and Life-course Studies and Nuclear and High Energy Physics, having authored 24 papers that have together received 224 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), Adaptive optics and wavefront sensing (4 papers) and Particle Detector Development and Performance (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (123 citations), Language and Linguistics (18 citations) and Geophysics (21 citations). J. E. García Navarro has collaborated with scholars based in Spain, France and United States. Frequent co-authors include I. Hinchliffe, G. Couture, K. Benslama, D. Costanzo, G. Azuelos, D. Strottman, Alfonso Ortega, H. Toki, Eduardo Lleida and E. Oset. Their work appears in journals such as Physics Letters B, Methods in Ecology and Evolution and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.