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Cited by 659

The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.

20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach

Loureiro, Sandra Maria Correia, Guerreiro, João, Ali, Faizan·2020·Tourism Management

Abstract

Abstract Virtual reality (VR) and Augmented Reality (AR) have undergone technical evolutions over the last few decades including improvements in immersion and the feeling of telepresence. Several examples of the applications of such techniques can be found in stores, tourism, hotel, restaurants, and destinations. Yet, a comprehensive analysis of studies employing such techniques in tourism-related studies is difficult to find. The current study uses citation network analysis and text-mining techniques to conduct a full-text analysis of 56 journal papers and 325 conference proceedings related to VR and AR in the tourism context. This paper intends to (i) provide an overview of the VR and AR-related tourism studies network and discuss them over time, (ii) present the most important topics and studies emerging from this literature, (iii) suggest avenues for further research. Findings reveal 10 core topics in journal papers and 11 core topics in conference proceedings, which are presented together with an overview of the published studies and the main authors.

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Metadata

Authors
Loureiro, S. M. C., Guerreiro, J., & Ali, F.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2020-04
Volume
77
Pages
104028
ISSN
0261-5177 (ISSN-L)
OpenAlex
W2985878620
Cited by
659
References
120
FWCI
54.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach. https://app.cochat.ai/papers/10.1016/j.tourman.2019.104028
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Loureiro, S. M. C., Guerreiro, J., & Ali, F. (2020). 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach. Tourism Management. https://doi.org/10.1016/j.tourman.2019.104028

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.