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Editorial on the Research Topic. We acknowledge funding by Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) through project SPASIMM FIS2016-80067-P (AEI/FEDER, UE), the Spanish State Research Agency through the María de Maeztu Program for Units of Excellence in R&D (MDM-2017-0711 to IFISC). Peer reviewed
Artificial intelligence, applications, multidisciplinary and interdisciplinary approach, Physics, QC1-999, artificial intelligence, machine learning, fundamentals, Applications, Machine learning, Multidisciplinary and interdisciplinary approach, Fundamentals
Artificial intelligence, applications, multidisciplinary and interdisciplinary approach, Physics, QC1-999, artificial intelligence, machine learning, fundamentals, Applications, Machine learning, Multidisciplinary and interdisciplinary approach, Fundamentals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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