Countries citing papers authored by Dennis M. Jacobs
Since
Specialization
Citations
This map shows the geographic impact of Dennis M. Jacobs'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 Dennis M. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis M. Jacobs more than expected).
Fields of papers citing papers by Dennis M. Jacobs
This network shows the impact of papers produced by Dennis M. Jacobs. 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 Dennis M. Jacobs. The network helps show where Dennis M. Jacobs may publish in the future.
Co-authorship network of co-authors of Dennis M. Jacobs
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis M. Jacobs.
A scholar is included among the top collaborators of Dennis M. Jacobs 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 Dennis M. Jacobs. Dennis M. Jacobs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Megown, Kevin, et al.. (2015). Image-based change estimation (ICE): monitoring land use, land cover and agent of change information for all lands. 931.1 indexed citations
Goeking, Sara A., et al.. (2012). A GIS-based tool for estimating tree canopy cover on fixed-radius plots using high-resolution aerial imagery. 237–241.4 indexed citations
4.
Jacobs, Dennis M., et al.. (2010). Contribution of climate, soil, and MODIS predictors when modeling forest inventory invasive species distribution using forest inventory data. 1–8.1 indexed citations
5.
Jacobs, Dennis M., et al.. (2009). Predicting spatial distribution of privet ( liguestrum spp.) in South Carolina from MODIS and forest inventory plot data. 1–8.1 indexed citations
6.
Jacobs, Dennis M., et al.. (2009). USING FOREST INVENTORY PLOT DATA AND SATELLITE IMAGERY FROM MODIS AND LANDSAT-TM TO MODEL SPATIAL DISTRIBUTION PATTERNS OF HONEYSUCKLE AND PRIVET.
Jacobs, Dennis M., et al.. (2007). Accuracy assessment of biomass and forested area classification from modis, landstat-tm satellite imagery and forest inventory plot data.1 indexed citations
9.
Jacobs, Dennis M.. (2007). Forest inventory, catastrophic events and historic geospatial assessments in the south.1 indexed citations
10.
Jacobs, Dennis M., et al.. (2006). The effect of using complete and partial forested FIA plot data on biomass and forested area classifications from MODIS satellite data.4 indexed citations
11.
Jacobs, Dennis M. & Victor A. Rudis. (2005). Providing Confidence in Regional Maps in Predicting Where Nonnative Species are Invading the Forested Landscape. 252.2 indexed citations
12.
Jacobs, Dennis M., et al.. (2005). ASSESSING BIOMASS AND FOREST AREA CLASSIFICATIONS FROM MODIS SATELLITE DATA WHILE INCREMENTING THE NUMBER OF FIA DATA PANELS.2 indexed citations
13.
Cooke, William H. & Dennis M. Jacobs. (2002). Rapid Classification of Landsat TM Imagery for Phase 1 Stratification Using the Automated NDVI Threshold Supervised Classification (ANTSC) Methodology. 252.1 indexed citations
14.
Ramsey, Elijah, et al.. (1998). Resource Management of Forested Wetlands: Hurricane Impact and Recovery Mapped by Combining Landsat TM and NOAA AVHRR Data. Photogrammetric Engineering & Remote Sensing. 64(7). 733–738.30 indexed citations
Jacobs, Dennis M., et al.. (1993). AIRBORNE VIDEOGRAPHY AND GPS FOR ASSESSMENT OF FOREST DAMAGE IN SOUTHERN LOUISIANA FROM HURRICANE ANDREW.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.