Citation Classics in Consumer Neuroscience, Neuromarketing and Neuroaesthetics: Identification and Conceptual Analysis Sánchez Núñez, Pablo Herrera Viedma, Enrique Bibliometrix Consumer behaviour Consumer psychology Consumer neuroscience H-Index Highly cited papers (HCPs) Scientometrics Science mapping analysis SciMAT Neuromarketing, consumer neuroscience and neuroaesthetics are a broad research area of neuroscience with an extensive background in scientific publications. Thus, the present study aims to identify the highly cited papers (HCPs) in this research field, to deliver a summary of the academic work produced during the last decade in this area, and to show patterns, features, and trends that define the past, present, and future of this specific area of knowledge. The HCPs show a perspective of those documents that, historically, have attracted great interest from a research community and that could be considered as the basis of the research field. In this study, we retrieved 907 documents and analyzed, through H-Classics methodology, 50 HCPs identified in the Web of Science (WoS) during the period 2010–2019. The H-Classic approach offers an objective method to identify core knowledge in neuroscience disciplines such as neuromarketing, consumer neuroscience, and neuroaesthetics. To accomplish this study, we used Bibliometrix R Package and SciMAT software. This analysis provides results that give us a useful insight into the development of this field of research, revealing those scientific actors who have made the greatest contribution to its development: authors, institutions, sources, countries as well as documents and references. 2021-05-11T09:02:03Z 2021-05-11T09:02:03Z 2021 info:eu-repo/semantics/article Sánchez-Núñez, P.; Cobo, M.J.; Vaccaro, G.; Peláez, J.I.; Herrera-Viedma, E. Citation Classics in Consumer Neuroscience, Neuromarketing and Neuroaesthetics: Identification and Conceptual Analysis. Brain Sci. 2021, 11, 548. https://doi.org/10.3390/brainsci 11050548 http://hdl.handle.net/10481/68454 10.3390/brainsci 11050548 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI