Countries citing papers authored by Nathaniel G. Plant
Since
Specialization
Citations
This map shows the geographic impact of Nathaniel G. Plant'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 Nathaniel G. Plant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel G. Plant more than expected).
Fields of papers citing papers by Nathaniel G. Plant
This network shows the impact of papers produced by Nathaniel G. Plant. 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 Nathaniel G. Plant. The network helps show where Nathaniel G. Plant may publish in the future.
Co-authorship network of co-authors of Nathaniel G. Plant
This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel G. Plant.
A scholar is included among the top collaborators of Nathaniel G. Plant 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 Nathaniel G. Plant. Nathaniel G. Plant is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beuzen, Tomas, Jeffrey M. Simmons, Mitchell D. Harley, Nathaniel G. Plant, & Hilary F. Stockdon. (2019). A machine learning approach for identifying dune toes on beach profile transects. AGUFM. 2019.1 indexed citations
Passeri, Davina L., Scott C. Hagen, Nathaniel G. Plant, et al.. (2015). Tidal Hydrodynamics under Future Sea Level Rise Scenarios with Coastal Morphology along the Northern Gulf of Mexico. 2015 AGU Fall Meeting. 2015.1 indexed citations
10.
Stockdon, Hilary F., et al.. (2014). Estimating storm-induced wave runup using numerical and parameterized models. AGU Fall Meeting Abstracts. 2014.1 indexed citations
11.
Plant, Nathaniel G., et al.. (2014). USGS "iCoast - Did the Coast Change?" Project: Crowd-Tagging Aerial Photographs to Improve Coastal Change Prediction Models. 2014 AGU Fall Meeting. 2014.1 indexed citations
12.
Palmsten, Margaret L., Kristen D. Splinter, Nathaniel G. Plant, & Hilary F. Stockdon. (2014). Probabilistic estimation of dune retreat on the Gold Coast, Australia. 82(4). 35–43.15 indexed citations
13.
Plant, Nathaniel G., Hilary F. Stockdon, James G. Flocks, et al.. (2012). Prediction of barrier island restoration response and its interactions with the natural environment. AGUFM. 2012.1 indexed citations
14.
Baart, Fedor, Mark van Koningsveld, Arjen Luijendijk, et al.. (2012). An integrated coastal model for aeolian and hydrodynamic sediment transport. EGUGA. 12842.3 indexed citations
15.
Stockdon, Hilary F., Nathaniel G. Plant, & Asbury H. Sallenger. (2009). National assessment of hurricane-induced coastal change vulnerability. 77(3). 15–20.1 indexed citations
16.
Hanson, Hans, Stefan Aarninkhof, Michele Capobianco, et al.. (2003). Modelling of coastal evolution on yearly to decadal time scales. University of Twente Research Information.82 indexed citations
17.
Plant, Nathaniel G., et al.. (1998). Strange kinematics of sand bars. University of Twente Research Information. 355–364.3 indexed citations
18.
Aarninkhof, Stefan, et al.. (1998). Quantitative Estimations of Bar Dynamics from Video Images. Coastal dynamics. 365–374.11 indexed citations
19.
Plant, Nathaniel G. & Gary Griggs. (1992). Interactions between nearshore processes and beach morphology near a seawall. Journal of Coastal Research. 8(1). 183–200.48 indexed citations
20.
Plant, Nathaniel G. & Gary Griggs. (1992). Comparison of Visual Observations of Wave Height and Period to Measurements Made by an Offshore Slope Array. Journal of Coastal Research. 8(4). 957–965.9 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.