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.
Implications of Global Climate Change for Tourism Flows and Seasonality
2007422 citationsBas Amelung, Sarah Nicholls et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Bas Amelung'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 Bas Amelung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bas Amelung more than expected).
This network shows the impact of papers produced by Bas Amelung. 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 Bas Amelung. The network helps show where Bas Amelung may publish in the future.
Co-authorship network of co-authors of Bas Amelung
This figure shows the co-authorship network connecting the top 25 collaborators of Bas Amelung.
A scholar is included among the top collaborators of Bas Amelung 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 Bas Amelung. Bas Amelung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Munishi, Pantaleo, et al.. (2014). Wildlife Safari Tourist Destinations in Tanzania: Experiences from Colonial to Post-Colonial Era. Socio-Environmental Systems Modeling. 2(6). 240–259.
9.
Amelung, Bas & Paul Peeters. (2013). Recreation and tourism: an ecosystem service in itself?. Data Archiving and Networked Services (DANS).1 indexed citations
Amelung, Bas, Jean-Paul Céron, Ghislain Dubois, et al.. (2011). L’adaptation au changement climatique en région wallonne. Open Repository and Bibliography (University of Liège).2 indexed citations
12.
Martens, Pim & Bas Amelung. (2010). On the correlation between globalization and vulnerability in times of economic crisis - a statistical analysis for Europe. Socio-Environmental Systems Modeling. 17(17). 17–17.7 indexed citations
13.
Lamers, Machiel, et al.. (2010). Business as (Un)usual: Integrated Scenario Analysis for Tourism in Antarctica. Socio-Environmental Systems Modeling. 247–262.2 indexed citations
Liggett, Daniela, Machiel Lamers, & Bas Amelung. (2009). Heading into Uncharted Territory? Exploring the Institutional Robustness of Self-Regulation in the Antarctic Tourism Sector. SSRN Electronic Journal.1 indexed citations
16.
Moreno, Alvaro & Bas Amelung. (2009). Climate change and coastal & marine tourism: review and analysis. Journal of Coastal Research. 1140–1144.43 indexed citations
Lamers, Machiel, Daniela Liggett, & Bas Amelung. (2008). Facing the Elements: Analysing Trends in Antarctic Tourism. SSRN Electronic Journal.2 indexed citations
19.
Amelung, Bas & David Viner. (2006). The sustainability of tourism in the Mediterranean: Exploring the future with the Tourism Comfort Index. Journal of Sustainable Tourism. 14(4).3 indexed citations
20.
Ierland, E.C. van, R.S. de Groot, P.J. Kuikman, et al.. (2001). Integrated assessment of vulnerability to climate change and adaptation options in the Netherlands. Data Archiving and Networked Services (DANS).10 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.