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.
PROSPECT+SAIL models: A review of use for vegetation characterization
Countries citing papers authored by Susan L. Ustin
Since
Specialization
Citations
This map shows the geographic impact of Susan L. Ustin'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 Susan L. Ustin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan L. Ustin more than expected).
This network shows the impact of papers produced by Susan L. Ustin. 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 Susan L. Ustin. The network helps show where Susan L. Ustin may publish in the future.
Co-authorship network of co-authors of Susan L. Ustin
This figure shows the co-authorship network connecting the top 25 collaborators of Susan L. Ustin.
A scholar is included among the top collaborators of Susan L. Ustin 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 Susan L. Ustin. Susan L. Ustin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
García‐Alonso, M. C., António Ferraz, S. S. Saatchi, et al.. (2015). Estimating forest biomass from LiDAR data: A comparison of the raster-based and point-cloud data approach. AGU Fall Meeting Abstracts. 2015.1 indexed citations
10.
Ustin, Susan L., et al.. (2015). Using high-resolution topography and hyperspectral data to classify tree species at the San Joaquin Experimental Range. AGUFM. 2015.1 indexed citations
11.
Ustin, Susan L., et al.. (2014). Developing the capacity to monitor climate change impacts in Mediterranean estuaries. Evolutionary ecology research. 16(6). 529–550.6 indexed citations
12.
García‐Alonso, M. C., et al.. (2014). Mapping standing dead trees (snags) in the aftermath of the 2013 Rim Fire using airborne LiDAR data.. AGUFM. 2014.1 indexed citations
13.
Khanna, Shruti, et al.. (2009). Synergistic effects of disturbance and control in the decline of Eichhornia crassipes in the Sacramento-San Joaquin Delta. AGU Fall Meeting Abstracts. 2009.1 indexed citations
14.
Ustin, Susan L., David Riaño, & Marco Trombetti. (2008). The MODIS Vegetation Canopy Water Content product. AGU Fall Meeting Abstracts. 2008.1 indexed citations
15.
Greenberg, Jonathan A., Erin L. Hestir, & Susan L. Ustin. (2008). The impacts of riparian tree removal on water temperatures in the Sacramento-San Joaquin River Delta using Lidar data analysis. AGU Fall Meeting Abstracts. 2008.1 indexed citations
16.
Khanna, Shruti, Erin L. Hestir, Maria J. Santos, Jonathan A. Greenberg, & Susan L. Ustin. (2007). Water Hyacinth Identification Using CART Modeling With Hyperspectral Data in the Sacramento-San Joaquin River Delta of California. AGU Fall Meeting Abstracts. 2007.1 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.