The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS
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Citations
Cites
Local Indicators of Spatial Association—LISA
Anselin, L. (1995) · Geographical Analysis · doi:10.1111/j.1538-4632.1995.tb00338.x · Cited by 12,919
Buhalis, D., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2008.01.005 · Cited by 3,823 · cited 1×
“Along the way, an enormous amount of information about tourist destinations is generated, which potential tourists can consult before their trip, to the point that they often feel they have already been there before they have actually gone (Buhalis & Law, 2008; Xiang & Gretzel, 2010).”
BackgroundRole of social media in online travel information search
Xiang, Z., & Gretzel, U. (2010) · Tourism Management · doi:10.1016/j.tourman.2009.02.016 · Cited by 3,274
Social Media in Tourism and Hospitality: A Literature Review
Leung, D., Law, R., van Hoof, H., & Buhalis, D. (2013) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2013.750919 · Cited by 1,557
Motivations for sharing tourism experiences through social media
Munar, A. M., & Jacobsen, J. K. S. (2014) · Tourism Management · doi:10.1016/j.tourman.2014.01.012 · Cited by 1,259
What do we know about social media in tourism? A review
Zeng, B., & Gerritsen, R. (2014) · Tourism Management Perspectives · doi:10.1016/j.tmp.2014.01.001 · Cited by 1,103
Big data, smart cities and city planning
Batty, M. (2013) · Dialogues in Human Geography · doi:10.1177/2043820613513390 · Cited by 1,091
Social media as a destination marketing tool: its use by national tourism organisations
Hays, S., Page, S. J., & Buhalis, D. (2013) · Current Issues in Tourism · doi:10.1080/13683500.2012.662215 · Cited by 967
Geo-located Twitter as proxy for global mobility patterns
Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., & Ratti, C. (2014) · Cartography and Geographic Information Science · doi:10.1080/15230406.2014.890072 · Cited by 673
Big data and human geography: Opportunities, challenges and risks
Kitchin, R. (2013) · Dialogues in Human Geography · doi:10.1177/2043820613513388 · Cited by 593
Cited by
Passive crowdsourcing of social media in environmental research: A systematic map
Ghermandi, A., & Sinclair, M. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.02.003 · Cited by 363
Guerrero, P., Møller, M. S., Olafsson, A. S., & Snizek, B. (2016) · Urban Planning · doi:10.17645/up.v1i2.609 · Cited by 149
An exploratory analysis of geotagged photos from Instagram for residents of and visitors to Vienna
Gunter, U., & Önder, I. (2021) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348020963689 · Cited by 38
Metadata
- Authors
- García-Palomares, J. C., Gutiérrez, J., & Mínguez, C.
- Venue
- Applied Geography
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 63
- Pages
- 408-417
- ISSN
- 0143-6228 (ISSN-L)
- OpenAlex
- W1123179804
- Cited by
- 362
- References
- 30
- FWCI
- 51.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS. https://app.cochat.ai/papers/10.1016/j.apgeog.2015.08.002
- The paper
- García-Palomares, J. C., Gutiérrez, J., & Mínguez, C. (2015). Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS. Applied Geography. https://doi.org/10.1016/j.apgeog.2015.08.002
Data sources
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.
