Rob Law
Impact in
- Marketing top 0.01%
- Consumer Behavior in Brand Consumption and Identification
- Sharing Economy and Platforms
- Consumer Retail Behavior Studies
Papers in
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- Digital Marketing and Social Media 415
- Diverse Aspects of Tourism Research 293
- Sport and Mega-Event Impacts 56
- Marketing 270
- Sharing Economy and Platforms 111
- Consumer Behavior in Brand Consumption and Identification 109
- Co-authors
- Dimitrios Buhalis (24 shared papers)Qiang Ye (13 shared papers)Norman Au (23 shared papers)Gang Li (47 shared papers)Markus Schuckert (21 shared papers)Lawrence Hoc Nang Fong (31 shared papers)Ziqiong Zhang (20 shared papers)Daniel Leung (20 shared papers)
In The Last Decade
Rob Law
795 papers receiving 36.4k citations
Rob Law's Hit Papers
Peers
Comparison fields: 5 of 192
- Tourism, Leisure and Hospitality Management 2.7k
- Marketing 13.9k
- Information Systems and Management 7.4k
- Organizational Behavior and Human Resource Management 8.5k
- Sociology and Political Science 28.0k
Countries citing papers authored by Rob Law
This map shows the geographic impact of Rob Law'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 Rob Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Law more than expected).
Fields of papers citing papers by Rob Law
This network shows the impact of papers produced by Rob Law. 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 Rob Law. The network helps show where Rob Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Law, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 825 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research Hit paper breakdown → | 2008 | 2219 |
| 2 | Social Media in Tourism and Hospitality: A Literature Review Hit paper breakdown → | 2013 | 1006 |
| 3 | The impact of online user reviews on hotel room sales Hit paper breakdown → | 2008 | 946 |
| 4 | The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings Hit paper breakdown → | 2010 | 858 |
| 5 | The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews Hit paper breakdown → | 2010 | 570 |
| 6 | “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content Hit paper breakdown → | 2013 | 566 |
| 7 | The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors Hit paper breakdown → | 2008 | 547 |
| 8 | The impact of the perception of risk on international travellers Hit paper breakdown → | 2007 | 534 |
| 9 | Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics Hit paper breakdown → | 2015 | 487 |
| 10 | Progress on information and communication technologies in hospitality and tourism Hit paper breakdown → | 2014 | 483 |
| 11 | Hospitality and Tourism Online Reviews: Recent Trends and Future Directions Hit paper breakdown → | 2015 | 456 |
| 12 | Sentiment classification of online reviews to travel destinations by supervised machine learning approaches Hit paper breakdown → | 2008 | 432 |
| 13 | 2009 | 427 | |
| 14 | Predicting the intention to use consumer-generated media for travel planning Hit paper breakdown → | 2012 | 412 |
| 15 | e-Tourism beyond COVID-19: a call for transformative research Hit paper breakdown → | 2020 | 366 |
| 16 | 2002 | 317 | |
| 17 | Tourism demand forecasting: A deep learning approach Hit paper breakdown → | 2019 | 315 |
| 18 | The influence of online reviews to online hotel booking intentions Hit paper breakdown → | 2015 | 303 |
| 19 | 2015 | 300 | |
| 20 | 2010 | 297 |
About Rob Law
Rob Law is a scholar working on Sociology and Political Science, Marketing, Organizational Behavior and Human Resource Management, Information Systems and Management and Tourism, Leisure and Hospitality Management, having authored 825 papers that have together received 38.5k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (415 papers), Diverse Aspects of Tourism Research (293 papers), Customer Service Quality and Loyalty (160 papers), Technology Adoption and User Behaviour (155 papers), Sharing Economy and Platforms (111 papers), Consumer Behavior in Brand Consumption and Identification (109 papers), Hospitality and Tourism Education (68 papers) and Sport and Mega-Event Impacts (56 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (2.7k citations), Marketing (13.9k citations), Information Systems and Management (7.4k citations), Organizational Behavior and Human Resource Management (8.5k citations) and Sociology and Political Science (28.0k citations). Rob Law has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Dimitrios Buhalis, Qiang Ye, Norman Au, Gang Li, Markus Schuckert, Lawrence Hoc Nang Fong, Ziqiong Zhang, Daniel Leung, Qiang Ye and Catherine Cheung. Their work appears in journals such as Journal of Travel & Tourism Marketing, Asia Pacific Journal of Tourism Research, International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management and Tourism Management.
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.