Citations per year, relative to Joseph P. Spruce Joseph P. Spruce (= 1×)
peers
David Aragonés
Countries citing papers authored by Joseph P. Spruce
Since
Specialization
Citations
This map shows the geographic impact of Joseph P. Spruce'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 Joseph P. Spruce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph P. Spruce more than expected).
Fields of papers citing papers by Joseph P. Spruce
This network shows the impact of papers produced by Joseph P. Spruce. 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 Joseph P. Spruce. The network helps show where Joseph P. Spruce may publish in the future.
Co-authorship network of co-authors of Joseph P. Spruce
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Spruce.
A scholar is included among the top collaborators of Joseph P. Spruce 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 Joseph P. Spruce. Joseph P. Spruce is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Armistead, Jennifer S., et al.. (2018). Improving Forest Management Through Early Detection of Bark Beetle Outbreaks in the Southeastern United States Using Earth Observations. AGU Fall Meeting Abstracts. 2018.1 indexed citations
Spruce, Joseph P., John Bolten, & Raghavan Srinivasan. (2017). Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid SWAT Hydrologic Modeling. AGU Fall Meeting Abstracts. 2017.2 indexed citations
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
10.
Spruce, Joseph P., et al.. (2013). Monitoring Regional Forest Disturbances across the US with Near Real Time MODIS NDVI Products included in the ForWarn Forest Threat Early Warning System. NASA STI Repository (National Aeronautics and Space Administration). 2013.2 indexed citations
Spruce, Joseph P., et al.. (2013). Decision Support Tool Evaluation Report for General Noaa Oil Modeling Environment(gnome) Version 2.0. NASA Technical Reports Server (NASA).1 indexed citations
Hargrove, William W., et al.. (2009). Toward a national early warning system for forest disturbances using remotely sensed canopy phenology. Photogrammetric Engineering & Remote Sensing. 75(10). 1150–1156.66 indexed citations
15.
Ryan, Robert, et al.. (2008). Remote-Sensing Time Series Analysis, a Vegetation Monitoring Tool. NASA Technical Reports Server (NASA).9 indexed citations
16.
Spruce, Joseph P., et al.. (2008). Land-use and Land-cover Change from 1974 to 2008 around Mobile Bay. NASA Technical Reports Server (NASA).1 indexed citations
17.
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).
18.
Spruce, Joseph P., et al.. (2007). Simulated NASA Satellite Data Products for the NOAA Integrated Coral Reef Observation Network/Coral Reef Early Warning System. NASA Technical Reports Server (NASA).1 indexed citations
19.
Spruce, Joseph P., et al.. (2007). Potential of VIIRS Data for Regional Monitoring of Gypsy Moth Defoliation: Implications for Forest Threat Early Warning System. NASA Technical Reports Server (NASA). 2007.1 indexed citations
20.
Spruce, Joseph P.. (2001). Low-Altitude AVIRIS Data for Mapping Land Cover in Yellowstone National Park: Use of Isodata Clustering Techniques.
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.