Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Adoption of robots and service automation by tourism and hospitality companies
2019259 citationsStanislav Ivanov, Craig Webster et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Craig Webster'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 Craig Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Webster more than expected).
This network shows the impact of papers produced by Craig Webster. 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 Craig Webster. The network helps show where Craig Webster may publish in the future.
Co-authorship network of co-authors of Craig Webster
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Webster.
A scholar is included among the top collaborators of Craig Webster 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 Craig Webster. Craig Webster is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Webster, Craig & Stanislav Ivanov. (2020). Robots in Travel, Tourism and Hospitality: Key Findings from a Global Study. SSRN Electronic Journal.20 indexed citations
Ivanov, Stanislav & Craig Webster. (2019). Perceived Appropriateness and Intention to Use Service Robots in Tourism. SSRN Electronic Journal.14 indexed citations
10.
Ivanov, Stanislav & Craig Webster. (2019). What Should Robots Do? A Comparative Analysis of Industry Professionals, Educators and Tourists. SSRN Electronic Journal.6 indexed citations
11.
Webster, Craig & Stanislav Ivanov. (2019). What Do People Think Robots Should Do in Hospitality and Tourism? Preliminary Findings from a Global Study of Market Segments. SSRN Electronic Journal.2 indexed citations
12.
Ivanov, Stanislav, et al.. (2018). Consumers’ Attitudes Towards the Introduction of Robots in Accommodation Establishments. Hrčak Portal of scientific journals of Croatia (University Computing Centre).61 indexed citations
Webster, Craig, et al.. (2017). Hotel Industry's Reactions to the Crimea Crisis. Ereview of tourism research. 14.3 indexed citations
15.
Webster, Craig & Stanislav Ivanov. (2013). Tourism as a Force for Political Stability. SSRN Electronic Journal.13 indexed citations
16.
Ivanov, Stanislav & Craig Webster. (2009). Marketing the Bulgarian Tourism Product - The Economic Geography of Long-term and Short-term Investments. SSRN Electronic Journal.2 indexed citations
Webster, Craig, Stanislav Ivanov, & Steven F. Illum. (2009). NTOs and State Policy: The Paradigms of Political Economy and Insitutional Response to Tourism in Times of Economic Crisis. SSRN Electronic Journal.1 indexed citations
Webster, Craig, et al.. (2006). Who Supported the Annan Plan? An Exploratory Statistical Analysis of the Demographic, Political, and Attitudinal Correlates. 18(1). 13–35.4 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.