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.
Doubling of coastal flooding frequency within decades due to sea-level rise
2017593 citationsSean Vitousek, Patrick L. Barnard et al.Scientific Reportsprofile →
Dynamic flood modeling essential to assess the coastal impacts of climate change
2019255 citationsPatrick L. Barnard, Li Erikson et al.Scientific Reportsprofile →
Drivers, dynamics and impacts of changing Arctic coasts
This map shows the geographic impact of Li Erikson'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 Li Erikson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Erikson more than expected).
This network shows the impact of papers produced by Li Erikson. 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 Li Erikson. The network helps show where Li Erikson may publish in the future.
Co-authorship network of co-authors of Li Erikson
This figure shows the co-authorship network connecting the top 25 collaborators of Li Erikson.
A scholar is included among the top collaborators of Li Erikson 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 Li Erikson. Li Erikson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stacey, Mark T., et al.. (2017). Regional Interdependence in Adaptation to Sea Level Rise and Coastal Flooding. AGU Fall Meeting Abstracts. 2017.2 indexed citations
11.
Erikson, Li, A. O'Neill, Patrick L. Barnard, Sean Vitousek, & Patrick W. Limber. (2017). Climate change-driven cliff and beach evolution at decadal to centennial time scales. Coastal dynamics. 125–136.10 indexed citations
12.
George, Douglas A., J. L. Largier, G. B. Pasternack, et al.. (2016). Modeling Sediment Bypassing around Rocky Headlands. AGU Fall Meeting Abstracts. 2016.1 indexed citations
Gibbs, A. R., et al.. (2013). Remote Sensing of the Arctic Coast of Alaska Using Airborne Lidar Data. AGU Fall Meeting Abstracts. 2013.4 indexed citations
15.
Gibbs, Ann E., Li Erikson, Benjamin Jones, & Bruce M. Richmond. (2010). Characterizing Morphology and Erosional Trends of Permafrost Bluffs, Barter Island, Alaska. AGU Fall Meeting Abstracts. 2010.1 indexed citations
16.
Erikson, Li, et al.. (2010). Evaluation of conditions leading to inundation of the airstrip serving the remote village of Kaktovik, North Slope, Alaska. AGUFM. 2010.1 indexed citations
17.
Barnard, Patrick L., Li Erikson, & Jeff E. Hansen. (2009). Monitoring and modeling shoreline response due to shoreface nourishment on a high-energy coast. Journal of Coastal Research. 29–33.16 indexed citations
18.
Wright, Scott A., Li Erikson, Daniel M. Hanes, & David H. Schoellhamer. (2008). A combined observation-modeling approach for estimating water and suspended- sediment flux through a large tidal inlet: the Golden Gate, San Francisco, USA. AGUFM. 2008.1 indexed citations
19.
Hanes, Daniel M., et al.. (2008). Modeling Coastal Morphodynamics using Local Estimates of Alongshore Sediment Transport: Limits and Alternatives. AGUFM. 2008.1 indexed citations
20.
Spaulding, Malcolm L., et al.. (1997). COASTMAP, an integrated system for monitoring and modeling of coastal waters: application to Greenwich Bay. Journal of Media Literacy Education. 231–251.5 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.