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.
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies
2018626 citationsGreg C. Liknes et al.ISPRS Journal of Photogrammetry and Remote Sensingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Greg C. Liknes
Since
Specialization
Citations
This map shows the geographic impact of Greg C. Liknes'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 Greg C. Liknes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg C. Liknes more than expected).
This network shows the impact of papers produced by Greg C. Liknes. 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 Greg C. Liknes. The network helps show where Greg C. Liknes may publish in the future.
Co-authorship network of co-authors of Greg C. Liknes
This figure shows the co-authorship network connecting the top 25 collaborators of Greg C. Liknes.
A scholar is included among the top collaborators of Greg C. Liknes 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 Greg C. Liknes. Greg C. Liknes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liknes, Greg C., Susan J. Crocker, Randall S. Morin, & Brian F. Walters. (2015). Hurricane impacts on forest resources in the Eastern United States: a post-sandy assessment. 931. 173–177.2 indexed citations
7.
Liknes, Greg C., Christopher W. Woodall, & Charles H. Perry. (2012). Using inventory data to determine the impact of drought on tree mortality. Digital Commons - USU (Utah State University). 157(37). 109–112.2 indexed citations
Morin, Randall S. & Greg C. Liknes. (2012). Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012. 105. 1–478.22 indexed citations
10.
Morin, Randall S. & Greg C. Liknes. (2012). Abstracts of Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012.1 indexed citations
11.
Crocker, Susan J., et al.. (2010). Patterns among the ashes: Exploring the relationship between landscape pattern and the emerald ash borer. 72. 32–40.1 indexed citations
12.
Liknes, Greg C., Mark D. Nelson, Dale D. Gormanson, & Mark Hansen. (2009). The utility of the cropland data layer for Forest Inventory and Analysis. 79.8 indexed citations
13.
Nelson, Mark D., Greg C. Liknes, & Charles H. Perry. (2009). Combining forest inventory, satellite remote sensing, and geospatial data for mapping forest attributes of the conterminous United States. 56.1 indexed citations
14.
Liknes, Greg C., Christopher W. Woodall, & Charles H. Perry. (2009). Predicting forest attributes from climate data using a recursive partitioning and regression tree algorithm. 56.1 indexed citations
Woodall, Christopher W., Joseph J. Charney, Greg C. Liknes, & Brian E. Potter. (2006). Linking Fuel Inventories With Atmospheric Data for Assessment of Fire Danger. 70.1 indexed citations
Liknes, Greg C., Mark D. Nelson, & Ronald E. McRoberts. (2004). Evaluating Classified MODIS Satellite Imagery as a Stratification Tool.12 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.