Daniel Guttentag

6.6k total citations · 4 hit papers
35 papers, 4.4k citations indexed

About

Daniel Guttentag is a scholar working on Sociology and Political Science, Marketing and Automotive Engineering. According to data from OpenAlex, Daniel Guttentag has authored 35 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 17 papers in Marketing and 10 papers in Automotive Engineering. Recurrent topics in Daniel Guttentag's work include Sharing Economy and Platforms (14 papers), Diverse Aspects of Tourism Research (12 papers) and Digital Marketing and Social Media (11 papers). Daniel Guttentag is often cited by papers focused on Sharing Economy and Platforms (14 papers), Diverse Aspects of Tourism Research (12 papers) and Digital Marketing and Social Media (11 papers). Daniel Guttentag collaborates with scholars based in Canada, United States and Australia. Daniel Guttentag's co-authors include Stephen L. Smith, Mark E. Havitz, Luke R. Potwarka, Chris Gibbs, Ulrike Gretzel, Alasdair M. Goodwill, Tom Griffin, Lan Yao, Stephen W. Litvin and Seung Hwan Lee and has published in prestigious journals such as Tourism Management, Journal of Travel Research and International Journal of Hospitality Management.

In The Last Decade

Daniel Guttentag

30 papers receiving 4.2k citations

Hit Papers

Airbnb: disruptive innovation and the rise of an informal... 2009 2026 2014 2020 2013 2009 2017 2017 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Guttentag Canada 17 2.8k 2.8k 1.2k 538 452 35 4.4k
Iis Tussyadiah United Kingdom 40 3.8k 1.4× 5.6k 2.0× 859 0.7× 769 1.4× 206 0.5× 100 7.9k
Airi Lampinen Sweden 25 699 0.2× 1.6k 0.6× 268 0.2× 653 1.2× 122 0.3× 87 2.8k
Christoph Lutz Norway 36 1.0k 0.4× 2.3k 0.8× 288 0.2× 134 0.2× 166 0.4× 126 4.0k
Tawanna R. Dillahunt United States 31 539 0.2× 1.1k 0.4× 331 0.3× 976 1.8× 241 0.5× 102 3.0k
Giampaolo Viglia United Kingdom 35 2.5k 0.9× 2.5k 0.9× 234 0.2× 139 0.3× 93 0.2× 98 4.3k
Giacomo Del Chiappa Italy 38 1.5k 0.5× 3.1k 1.1× 105 0.1× 171 0.3× 355 0.8× 131 4.3k
Catheryn Khoo‐Lattimore Australia 36 992 0.4× 2.8k 1.0× 72 0.1× 496 0.9× 529 1.2× 100 4.0k
Barbara Neuhofer Austria 16 1.3k 0.5× 1.9k 0.7× 129 0.1× 103 0.2× 107 0.2× 30 2.5k
Mingming Cheng Australia 29 2.1k 0.8× 2.5k 0.9× 689 0.6× 55 0.1× 95 0.2× 82 3.3k
Stanislav Ivanov Bulgaria 37 1.2k 0.4× 2.8k 1.0× 98 0.1× 75 0.1× 247 0.5× 208 4.9k

Countries citing papers authored by Daniel Guttentag

Since Specialization
Citations

This map shows the geographic impact of Daniel Guttentag's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Guttentag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Guttentag more than expected).

Fields of papers citing papers by Daniel Guttentag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Guttentag. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Guttentag. The network helps show where Daniel Guttentag may publish in the future.

Co-authorship network of co-authors of Daniel Guttentag

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Guttentag. A scholar is included among the top collaborators of Daniel Guttentag based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Guttentag. Daniel Guttentag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guttentag, Daniel, et al.. (2025). How Airbnb guest experiences differ by accommodation type: a lexicon-based sentiment analysis of Airbnb reviews. Tourism Recreation Research. 51(1). 1–15.
2.
Griffin, Tom, Daniel Guttentag, Wayne W. Smith, & Stephen W. Litvin. (2025). Exploring VFR travel intentions during COVID-19: insights for resiliency planning. Tourism Recreation Research. 1–8.
3.
Teixeira, Mário Sérgio, et al.. (2024). Does Technological Innovativeness Influence Users' Experiences With Virtual Reality Tourism?. International Journal of Tourism Research. 26(4). 4 indexed citations
4.
Guttentag, Daniel, Stephen W. Litvin, & Rafael Teixeira. (2024). Human vs. AI: can ChatGPT improve tourism product descriptions?. Current Issues in Tourism. 28(22). 3601–3619. 13 indexed citations
5.
Litvin, Stephen W., Daniel Guttentag, Wayne W. Smith, & Robert E. Pitts. (2024). Political Persuasion: The Influence of US Political Party Affiliation on Travel Likelihood During the COVID-19 Pandemic. Tourism Analysis. 29(4). 559–564.
6.
Litvin, Stephen W., Daniel Guttentag, Wayne W. Smith, & Robert E. Pitts. (2024). Fear and travel: extending our understanding of pandemic (non-) travel. 19(2). 169–176.
7.
Guttentag, Daniel, Stephen W. Litvin, & Wayne W. Smith. (2023). To Airbnb or not to Airbnb: Does Airbnb feel safer than hotels during a pandemic?. International Journal of Hospitality Management. 114. 103550–103550. 5 indexed citations
8.
Griffin, Tom & Daniel Guttentag. (2023). Hosting friends and relatives as a catalyst for immigrant participation in touristic leisure. Journal of Leisure Research. 54(4). 453–471. 3 indexed citations
9.
Griffin, Tom, et al.. (2022). Is VR always better for destination marketing? Comparing different media and styles. Journal Of Vacation Marketing. 29(1). 119–140. 31 indexed citations
10.
Litvin, Stephen W., Daniel Guttentag, & Wayne W. Smith. (2021). Who Should You Market to in a Crisis? Examining Plog’s Model during the COVID-19 Pandemic. Journal of Travel Research. 61(5). 981–989. 18 indexed citations
11.
Dubois, Louis-Étienne, et al.. (2020). The impact of video games on destination image. Current Issues in Tourism. 24(4). 554–566. 34 indexed citations
12.
Griffin, Tom & Daniel Guttentag. (2020). Identifying active resident hosts of VFR visitors. International Journal of Tourism Research. 22(5). 627–636. 10 indexed citations
13.
Guttentag, Daniel & Stephen L. Smith. (2020). The diffusion of Airbnb: a comparative look at earlier adopters, later adopters, and non-adopters. Current Issues in Tourism. 25(20). 3225–3244. 30 indexed citations
14.
Guttentag, Daniel. (2019). Transformative experiences via Airbnb: Is it the guests or the host communities that will be transformed?. Journal of Tourism Futures. 5(2). 179–184. 29 indexed citations
15.
Guttentag, Daniel. (2013). Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism. 18(12). 1192–1217. 1265 indexed citations breakdown →
16.
Guttentag, Daniel. (2012). Volunteer Tourism has Gone Commercial: The Reasons and the Implications. Tourism Recreation Research. 37(3). 273–275. 3 indexed citations
17.
Guttentag, Daniel. (2011). Volunteer Tourism: As Good as It Seems?. Tourism Recreation Research. 36(1). 69–74. 48 indexed citations
18.
Guttentag, Daniel & Mark E. Havitz. (2010). Superstition as a personal moderator in the development of commitment and loyalty to and within casinos. Leisure/Loisir. 34(1). 1–25. 4 indexed citations
19.
Guttentag, Daniel. (2009). Virtual reality: Applications and implications for tourism. Tourism Management. 31(5). 637–651. 966 indexed citations breakdown →
20.
Guttentag, Daniel. (2009). The Legal Protection of Indigenous Souvenir Products. Tourism Recreation Research. 34(1). 23–34. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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