This map shows the geographic impact of Kenton Ross'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 Kenton Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenton Ross more than expected).
This network shows the impact of papers produced by Kenton Ross. 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 Kenton Ross. The network helps show where Kenton Ross may publish in the future.
Co-authorship network of co-authors of Kenton Ross
This figure shows the co-authorship network connecting the top 25 collaborators of Kenton Ross.
A scholar is included among the top collaborators of Kenton Ross 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 Kenton Ross. Kenton Ross is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Graham, William D., et al.. (2014). Growing Degree Vegetation Production Index (GDVPI): A Novel and Data-Driven Approach to Delimit Season Cycles. 2014 AGU Fall Meeting. 2014.1 indexed citations
5.
Ross, Kenton, et al.. (2013). Verification and Validation of NASA-Supported Enhancements to Pecad's Decision Support Tools. NASA Technical Reports Server (NASA).
6.
Ross, Kenton, et al.. (2010). Phenological Parameters Estimation Tool. NASA Technical Reports Server (NASA).5 indexed citations
7.
Ross, Kenton, et al.. (2010). Feasibility of Estimating Relative Nutrient Contributions of Agriculture and Forests Using MODIS Time Series. NASA Technical Reports Server (NASA).
Ross, Kenton, et al.. (2008). Feasibility of Estimating Relative Nutrient Contributions of Agriculture using MODIS Time Series. NASA STI Repository (National Aeronautics and Space Administration).2 indexed citations
Ryan, Robert, et al.. (2008). Remote-Sensing Time Series Analysis, a Vegetation Monitoring Tool. NASA Technical Reports Server (NASA).9 indexed citations
13.
Spruce, Joseph P., et al.. (2007). Potential of VIIRS Time Series Data for Aiding the USDA Forest Service Early Warning System for Forest Health Threats: A Gypsy Moth Defoliation Case Study. NASA STI Repository (National Aeronautics and Space Administration).
Ross, Kenton, et al.. (2006). Simulating Visible/Infrared Imager Radiometer Suite Normalized Difference Vegetation Index Data Using Hyperion and MODIS. NASA STI Repository (National Aeronautics and Space Administration). 2006.1 indexed citations
16.
Ryan, Robert, et al.. (2006). Remote Sensing Time Series Product Tool. AGUFM. 2006.5 indexed citations
17.
Ross, Kenton. (2006). Geopositional Statistical Methods. NASA STI Repository (National Aeronautics and Space Administration).5 indexed citations
18.
Ryan, Robert, et al.. (2005). High Spatial Resolution Commercial Satellite Imaging Product Characterization. NASA Technical Reports Server (NASA).1 indexed citations
19.
Beatty, Mary, et al.. (2000). In situ detection of leaf chlorophyll content and leaf nitrogen content in Zea mays L. using remote sensing.. 1–14.7 indexed citations
20.
Shaw, R. H., et al.. (1980). Evaluation of the management, yield, and water-use interactions on corn in northwestern Iowa.. 55(2). 119–126.1 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.