SCIESCOPUSQ1
Journal of Hospitality and Tourism Insights
EMERALD GROUP PUBLISHING LTD, United Kingdom
Journal of Hospitality and Tourism Insights is an academic journal published by EMERALD GROUP PUBLISHING LTD (United Kingdom). Identifiers: ISSN 2514-9792, eISSN 2514-9806. Indexed in SCIE, SCOPUS. Metrics: JIF 4.8, CiteScore 8.3, SJR 1.134, SNIP 1.68. Subject areas: HOSPITALITY, LEISURE, SPORT & TOURISM. tlooto lists 1,159 papers from this journal.
CiteScore
8.30
Scopus citation metric
SJR
1.134
SCImago rank
SNIP
1.68
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2514-9792
- eISSN
- 2514-9806
- Abbreviation
- J HOSP TOUR INSIGHTS
- Publisher
- EMERALD GROUP PUBLISHING LTD
- Country
- United Kingdom
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
1409 Tourism
Papers in this journal
Recent papers
- Enhancing quality of life through tourist engagement and value co-creation: a dual-analysis via PLS-SEM and fsQCA
2026 · 3 citations
- Exploring the impact of educational tourism on growth in China: new evidence from the moderating role of the educational environment
2026
- Ambidextrous management strategies in the tourism industry: a systematic literature review
2026
- Culinary tourism without dining table: investigating tourists’ willingness to pay more for local food in alternative restaurant formats at coastal tourism destinations
2026 · 1 citations
- From sustainable development goals insight to construct culinary creativity competence scale
2026
Most cited papers
- When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management
2021 · 149 citations
- Relationships among workplace incivility, work engagement and job performance
2020 · 144 citations
- Consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry: a deeper insight into the integration of TAM, TPB and trust
2022 · 128 citations
- The role of green practices toward the green word-of-mouth using stimulus-organism-response model
2021 · 119 citations
- Predicting sentiment and rating of tourist reviews using machine learning
2022 · 106 citations