Li Erikson

5.4k total citations · 3 hit papers
113 papers, 3.4k citations indexed

About

Li Erikson is a scholar working on Atmospheric Science, Earth-Surface Processes and Oceanography. According to data from OpenAlex, Li Erikson has authored 113 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Atmospheric Science, 63 papers in Earth-Surface Processes and 43 papers in Oceanography. Recurrent topics in Li Erikson's work include Coastal and Marine Dynamics (60 papers), Tropical and Extratropical Cyclones Research (50 papers) and Ocean Waves and Remote Sensing (27 papers). Li Erikson is often cited by papers focused on Coastal and Marine Dynamics (60 papers), Tropical and Extratropical Cyclones Research (50 papers) and Ocean Waves and Remote Sensing (27 papers). Li Erikson collaborates with scholars based in United States, Netherlands and Spain. Li Erikson's co-authors include Patrick L. Barnard, Sean Vitousek, Curt D. Storlazzi, Magnus Larson, Hans Hanson, Charles H. Fletcher, L. Neil Frazer, Patrick W. Limber, Maarten van Ormondt and Peter Ruggiero and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Li Erikson

112 papers receiving 3.3k citations

Hit Papers

Doubling of coastal flooding frequency within decades due... 2017 2026 2020 2023 2017 2019 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li Erikson United States 30 2.0k 1.8k 1.2k 968 873 113 3.4k
Agustín Sánchez‐Arcilla Spain 36 2.4k 1.2× 1.3k 0.8× 1.4k 1.1× 1.6k 1.7× 678 0.8× 209 3.9k
Sean Vitousek United States 25 1.7k 0.8× 1.4k 0.8× 963 0.8× 918 0.9× 750 0.9× 57 2.8k
Óscar Ferreira Portugal 39 3.2k 1.6× 1.5k 0.9× 2.2k 1.8× 1.0k 1.1× 809 0.9× 179 4.5k
Karin R. Bryan New Zealand 32 2.6k 1.3× 1.1k 0.6× 2.2k 1.9× 1.1k 1.1× 460 0.5× 156 3.7k
Rafaël Almar France 40 3.0k 1.5× 1.4k 0.8× 1.7k 1.4× 1.7k 1.7× 621 0.7× 184 4.4k
Peter Ruggiero United States 44 4.1k 2.1× 2.3k 1.3× 2.9k 2.4× 1.7k 1.7× 961 1.1× 158 5.7k
Evangelos Voukouvalas Italy 17 1.4k 0.7× 1.5k 0.9× 602 0.5× 827 0.9× 1.3k 1.5× 28 2.9k
Ap van Dongeren Netherlands 37 4.7k 2.4× 2.7k 1.5× 2.8k 2.4× 1.9k 2.0× 691 0.8× 124 5.5k
Mark Hemer Australia 41 1.5k 0.8× 2.3k 1.3× 712 0.6× 2.7k 2.8× 1.2k 1.4× 122 4.5k
Jennifer L. Irish United States 29 1.7k 0.9× 1.9k 1.1× 1.3k 1.1× 1.1k 1.1× 1.1k 1.2× 90 3.5k

Countries citing papers authored by Li Erikson

Since Specialization
Citations

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).

Fields of papers citing papers by Li Erikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
O'Neill, A., et al.. (2024). A Dataset of Two-Dimensional XBeach Model Set-Up Files for Northern California. Data. 9(10). 118–118. 1 indexed citations
2.
Tehranirad, Babak, et al.. (2024). The value of marsh restoration for flood risk reduction in an urban estuary. Scientific Reports. 14(1). 6856–6856. 8 indexed citations
3.
Vitousek, Sean, Kilian Vos, Kristen D. Splinter, et al.. (2024). Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise. Scientific Reports. 14(1). 28029–28029. 7 indexed citations
4.
Vitousek, Sean, Kilian Vos, Kristen D. Splinter, Li Erikson, & Patrick L. Barnard. (2023). A Model Integrating Satellite‐Derived Shoreline Observations for Predicting Fine‐Scale Shoreline Response to Waves and Sea‐Level Rise Across Large Coastal Regions. Journal of Geophysical Research Earth Surface. 128(7). 46 indexed citations
6.
Gibbs, Ann E., et al.. (2023). BARRIER ISLANDS AND SPITS OF NORTHERN ALASKA: DECADAL SCALE MORPHOLOGICAL CHANGE. 36–43. 1 indexed citations
7.
Irrgang, Anna, Mette Bendixen, Louise Farquharson, et al.. (2022). Drivers, dynamics and impacts of changing Arctic coasts. Nature Reviews Earth & Environment. 3(1). 39–54. 125 indexed citations breakdown →
8.
Waldrop, Mark P., Lesleigh Anderson, M. Dornblaser, et al.. (2021). USGS permafrost research determines the risks of permafrost thaw to biologic and hydrologic resources. Fact sheet. 1 indexed citations
9.
Anderson, Dylan, Peter Ruggiero, Fernando J. Méndez, et al.. (2021). Projecting Climate Dependent Coastal Flood Risk With a Hybrid Statistical Dynamical Model. Earth s Future. 9(12). e2021EF002285–e2021EF002285. 32 indexed citations
10.
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
13.
Swarzenski, Peter W., T. D. Lorenson, Christopher H. Conaway, et al.. (2016). Seasonal Electrical Resistivity Surveys of a Coastal Bluff, Barter Island, North Slope Alaska. Journal of Environmental and Engineering Geophysics. 21(1). 37–42. 15 indexed citations
14.
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.

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