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Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides

Bibliographic Data

ID21062035
AuthorsDaniel Paül I Agustí (0000-0003-4586-7540, Universitat de Lleida, corresponding author)
Year2018
Volume73
Pages103-115
Publication date2018-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAnnals of Tourism Research (JOURNAL)
Journal identifiersISSN: 0160-7383 • E-ISSN: 1873-7722
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.annals.2018.09.001
OpenAlexW2893508982
LanguageEN
Citations received34
References cited46

Advertising · Attractiveness · Business · Destination Image · Destinations · Economic geography · Geography · Political science · Regional science · Social media · Tourism · World Wide Web · Computer Science · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Mathematics · Psychology · Sharing Economy and Platforms · Marketing

  • La complejidad de la imagen de los destinos de costa

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  • Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering

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  • Mapping tourist hot spots in African cities based on Instagram images

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  • Beyond coupling coordination

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  • Bridging Perceived and Projected Destination Images

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  • The Concentrated City

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Unique citing works34
Citations per year5,67
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 33

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