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.
Overfishing reduces resilience of kelp beds to climate-driven catastrophic phase shift
2009451 citationsSD Ling, Craig R. Johnson et al.profile →
Global regime shift dynamics of catastrophic sea urchin overgrazing
2014402 citationsSD Ling, Robert E. Scheibling et al.Philosophical Transactions of the Royal Society B Biological Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of SD Ling'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 SD Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SD Ling more than expected).
This network shows the impact of papers produced by SD Ling. 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 SD Ling. The network helps show where SD Ling may publish in the future.
Co-authorship network of co-authors of SD Ling
This figure shows the co-authorship network connecting the top 25 collaborators of SD Ling.
A scholar is included among the top collaborators of SD Ling 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 SD Ling. SD Ling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Swearer, Stephen E., et al.. (2015). The Reef Ecosystem Evaluation Framework: Managing for Resilience in Temperate Environments. eCite Digital Repository (University of Tasmania).5 indexed citations
13.
Ling, SD, Robert E. Scheibling, Andrew Rassweiler, et al.. (2014). Global regime shift dynamics of catastrophic sea urchin overgrazing. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1659). 20130269–20130269.402 indexed citations breakdown →
14.
Ling, SD, et al.. (2013). Is 'barrens' habitat good for sea urchins?. eCite Digital Repository (University of Tasmania).
Frusher, SD, et al.. (2007). Is climate change impacting on lobster stocks in Tasmania?. eCite Digital Repository (University of Tasmania).2 indexed citations
17.
Daley, Ross K., J. Dowdney, Cathy Bulman, et al.. (2006). Ecological risk assessment for the effects of fishing: small pelagic fishery - midwater trawl. eCite Digital Repository (University of Tasmania).1 indexed citations
18.
Hobday, Alistair J., J. Dowdney, Cathy Bulman, et al.. (2006). Ecological risk assessment for the effects of fishing: southern bluefin tuna purse seine sub-fishery. eCite Digital Repository (University of Tasmania).2 indexed citations
19.
Edmunds, M., et al.. (2001). Monitoring of reef biota at Port Phillip Heads - marine performance assessment program, survey 6. eCite Digital Repository (University of Tasmania).1 indexed citations
20.
Edmunds, M., et al.. (2000). Monitoring of reef biota at Wilsons Promontory - marine performance assessment program. eCite Digital Repository (University of Tasmania).1 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.