Chad Babcock

534 total citations
25 papers, 363 citations indexed

About

Chad Babcock is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Chad Babcock has authored 25 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 14 papers in Nature and Landscape Conservation and 11 papers in Ecology. Recurrent topics in Chad Babcock's work include Remote Sensing and LiDAR Applications (15 papers), Forest ecology and management (13 papers) and Remote Sensing in Agriculture (6 papers). Chad Babcock is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Forest ecology and management (13 papers) and Remote Sensing in Agriculture (6 papers). Chad Babcock collaborates with scholars based in United States, Germany and Switzerland. Chad Babcock's co-authors include Bruce D. Cook, Andrew O. Finley, Hans‐Erik Andersen, Douglas C. Morton, L. Monika Moskal, Aaron R. Weiskittel, Meghan Halabisky, Michael Alonzo, Christopher W. Woodall and Robert Pattison and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Chad Babcock

25 papers receiving 356 citations

Peers

Chad Babcock
Dennis M. Jacobs United States
Vasileios Kalogirou Italy
Brigite Botequim Portugal
Urmas Peterson Estonia
Khaldoun Rishmawi United States
Radomir Bałazy Poland
Sandra Englhart Germany
M. N. dos-Santos Brazil
Alba Viana‐Soto Spain
Toru Sakai Japan
Dennis M. Jacobs United States
Chad Babcock
Citations per year, relative to Chad Babcock Chad Babcock (= 1×) peers Dennis M. Jacobs

Countries citing papers authored by Chad Babcock

Since Specialization
Citations

This map shows the geographic impact of Chad Babcock'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 Chad Babcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Babcock more than expected).

Fields of papers citing papers by Chad Babcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad Babcock. 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 Chad Babcock. The network helps show where Chad Babcock may publish in the future.

Co-authorship network of co-authors of Chad Babcock

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Babcock. A scholar is included among the top collaborators of Chad Babcock 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 Chad Babcock. Chad Babcock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Russell, Matthew B., et al.. (2025). Quantifying Western US tree carbon stocks and sequestration from fires. Fire Ecology. 21(1). 2 indexed citations
2.
Kennedy, Robert E., Shawn Serbin, Michael C. Dietze, et al.. (2024). Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System. Environmental Research Letters. 19(12). 123003–123003. 2 indexed citations
3.
Babcock, Chad, John Armston, Maurizio Santoro, et al.. (2024). A geostatistical approach to enhancing national forest biomass assessments with Earth Observation to aid climate policy needs. Remote Sensing of Environment. 318. 114557–114557. 6 indexed citations
4.
5.
Halabisky, Meghan, et al.. (2024). Revealing the hidden carbon in forested wetland soils. Nature Communications. 15(1). 726–726. 23 indexed citations
6.
Babcock, Chad, et al.. (2024). Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests. Carbon Balance and Management. 19(1). 41–41. 4 indexed citations
7.
Finley, Andrew O., Hans‐Erik Andersen, Chad Babcock, et al.. (2024). Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska. Journal of Agricultural Biological and Environmental Statistics. 29(4). 695–722. 8 indexed citations
8.
Russell, Matthew B., et al.. (2023). Wildfires correlate with reductions in aboveground tree carbon stocks and sequestration capacity on forest land in the Western United States. The Science of The Total Environment. 893. 164832–164832. 4 indexed citations
9.
Russell, Matthew B., et al.. (2022). Structural characteristics of black spruce (Picea mariana) infested with eastern spruce dwarf mistletoe (Arceuthobium pusillum), Minnesota, USA. Forest Ecology and Management. 523. 120495–120495. 1 indexed citations
10.
11.
Andersen, Hans‐Erik, et al.. (2021). Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data. Remote Sensing. 13(10). 1863–1863. 28 indexed citations
12.
Babcock, Chad, Andrew O. Finley, & Nathaniel Looker. (2021). A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images. Remote Sensing of Environment. 261. 112471–112471. 17 indexed citations
13.
Halabisky, Meghan, Chad Babcock, & L. Monika Moskal. (2018). Harnessing the Temporal Dimension to Improve Object-Based Image Analysis Classification of Wetlands. Remote Sensing. 10(9). 1467–1467. 23 indexed citations
14.
Ene, Liviu Theodor, Terje Gobakken, Hans‐Erik Andersen, et al.. (2017). Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data. Remote Sensing of Environment. 204. 741–755. 30 indexed citations
15.
Alonzo, Michael, Douglas C. Morton, Bruce D. Cook, et al.. (2017). Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar. Environmental Research Letters. 12(6). 65004–65004. 48 indexed citations
16.
Babcock, Chad, Andrew O. Finley, Bruce D. Cook, Aaron R. Weiskittel, & Christopher W. Woodall. (2016). Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182. 1–12. 36 indexed citations
17.
Babcock, Chad, Andrew O. Finley, Bruce D. Cook, Aaron R. Weiskittel, & Christopher W. Woodall. (2016). CMS: Aboveground Biomass from Penobscot Experimental Forest, Maine, 2012. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 2 indexed citations
18.
Arbogast, Alan F., Bradley A. Miller, Phillipe A. Wernette, et al.. (2015). Late-Pleistocene paleowinds and aeolian sand mobilization in north-central Lower Michigan. Aeolian Research. 16. 109–116. 14 indexed citations
19.
Finley, Andrew O., Sudipto Banerjee, Aaron R. Weiskittel, Chad Babcock, & Bruce D. Cook. (2014). Dynamic spatial regression models for space‐varying forest stand tables. Environmetrics. 25(8). 596–609. 7 indexed citations
20.
Babcock, Chad, et al.. (2012). Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1). 6–14. 22 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.

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