{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:47:12Z","timestamp":1775245632544,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T00:00:00Z","timestamp":1645401600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","doi-asserted-by":"publisher","award":["UIDB\/04470\/2020"],"award-info":[{"award-number":["UIDB\/04470\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Behavioral Sciences"],"abstract":"<jats:p>(1) Background: Using neuroscience to understand and influence consumer behavior often leads to ethical controversy. Thus, it is necessary to demystify the use of neuroscience for marketing purposes; the present paper, by accessing the worldwide academic performance in this domain, fulfills this objective. (2) Methods: All extant literature on neuromarketing indexed to the Scopus database\u2014318 articles\u2014was subjected to a bibliometric analysis through a mixed-method approach. (3) Results: The results show that Spain leads the ranks of the most productive countries, while Italian researchers clearly dominate in terms of collaboration. Regarding the most prominent topics, the connection between \u201cNeuroscience\u201d and \u201cAdvertising\u201d is highlighted. The findings provide a better understanding of the state-of-the-art in neuromarketing studies, research gaps, and emerging research topics, and additionally provide a new methodological contribution by including SciVal topic prominence in the bibliometric analysis. (4) Conclusions: As practical implications, this study provides useful insights for neuromarketing researchers seeking funding opportunities, which are normally associated with topics within the top prominence percentile or emerging topics. In terms of originality, this study is the first to apply SciVal topic prominence to a bibliometric analysis of neuromarketing, and provides a new bibliometric indicator for neuromarketing research.<\/jats:p>","DOI":"10.3390\/bs12020055","type":"journal-article","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T20:24:21Z","timestamp":1645475061000},"page":"55","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Accessing Neuromarketing Scientific Performance: Research Gaps and Emerging Topics"],"prefix":"10.3390","volume":"12","author":[{"given":"Luc\u00edlia","family":"Cardoso","sequence":"first","affiliation":[{"name":"CiTUR-Leiria, 2411-901 Leiria, Portugal"}]},{"given":"Meng-Mei","family":"Chen","sequence":"additional","affiliation":[{"name":"Ecole Hoteliere de Lausanne, HES-SO University of Applied Sciences and Arts Western, 2800 Del\u00e9mont, Switzerland"}]},{"given":"Arthur","family":"Ara\u00fajo","sequence":"additional","affiliation":[{"name":"Transdisciplinary Research Center on Innovation & Entrepreneurship Ecosystems (TRIE), Lusofona University, 1749-024 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0956-1341","authenticated-orcid":false,"given":"Giovana Goretti Feij\u00f3","family":"de Almeida","sequence":"additional","affiliation":[{"name":"CiTUR-Leiria, 2411-901 Leiria, Portugal"}]},{"given":"Francisco","family":"Dias","sequence":"additional","affiliation":[{"name":"CiTUR-Leiria, 2411-901 Leiria, Portugal"}]},{"given":"Luiz","family":"Moutinho","sequence":"additional","affiliation":[{"name":"Visiting Professor of Marketing, Suffolk Business School, University of Suffolk, Suffolk IP4 1QJ, UK"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1016\/j.patcog.2016.07.026","article-title":"Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order","volume":"61","author":"Lopes","year":"2017","journal-title":"Pattern Recognit."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.jbusres.2018.05.036","article-title":"Demystifying neuromarketing","volume":"91","author":"Lim","year":"2018","journal-title":"J. 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