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.
River bank instability from unsustainable sand mining in the lower Mekong River
2020219 citationsChristopher Hackney, Stephen E. Darby et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Andrew Nicholas
Since
Specialization
Citations
This map shows the geographic impact of Andrew Nicholas'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 Andrew Nicholas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Nicholas more than expected).
This network shows the impact of papers produced by Andrew Nicholas. 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 Andrew Nicholas. The network helps show where Andrew Nicholas may publish in the future.
Co-authorship network of co-authors of Andrew Nicholas
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Nicholas.
A scholar is included among the top collaborators of Andrew Nicholas 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 Andrew Nicholas. Andrew Nicholas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Best, Jim, Christopher Hackney, Stephen E. Darby, et al.. (2019). River bank instability induced by unsustainable sand mining in the Mekong River. AGU Fall Meeting Abstracts. 2019.1 indexed citations
Hackney, Christopher, et al.. (2018). Unsustainable in-channel sand mining threatens sand delivery to the Mekong delta. EGU General Assembly Conference Abstracts. 14164.1 indexed citations
10.
Ashworth, Philip J., Jim Best, Andrew Nicholas, et al.. (2017). The challenges in using UAV and plane imagery to quantify channel change in sandy braided rivers. EGU General Assembly Conference Abstracts. 13378.2 indexed citations
11.
Hackney, Christopher, Stephen E. Darby, Daniel R. Parsons, et al.. (2015). Crevasse-splay sedimentation processes revealed through high resolution modelling. EGUGA. 12388.1 indexed citations
12.
Dixon, Simon, Andrew Nicholas, Jim Best, et al.. (2015). Megascours: the morphodynamics of large river confluences. EGUGA. 5394.1 indexed citations
13.
Nicholas, Andrew, et al.. (2015). Morphodynamic model validation for tropical river junctions. EGU General Assembly Conference Abstracts. 12904.2 indexed citations
14.
Nicholas, Andrew. (2012). Numerical simulation of morphodynamic diversity in the World's largest rivers. EGUGA. 5989.
Clarke, Lucy, Timothy A. Quine, & Andrew Nicholas. (2008). An evaluation of the role of physical models in exploring form-process feedbacks in alluvial fans.. Research Repository (University of Gloucestershire). 175–183.4 indexed citations
17.
Walling, Desmond E., et al.. (2006). River flood plains as carbon sinks. IAHS-AISH publication. 460–470.7 indexed citations
18.
Nicholas, Andrew, et al.. (2005). 21. Monitoring and Modelling Flow and Suspended Sediment Transport Processes in Alluvial Cutoffs. Tunnelling and Underground Space Technology. 15(2). 10–11.2 indexed citations
19.
Walling, D. E., et al.. (2005). 150. The Grain Size Characteristics of Overbank Deposits on the Flood Plains of British Lowland Rivers. Tunnelling and Underground Space Technology. 15(2). 50–50.10 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.