Colby Brungard

1.9k total citations
35 papers, 1.3k citations indexed

About

Colby Brungard is a scholar working on Environmental Engineering, Artificial Intelligence and Soil Science. According to data from OpenAlex, Colby Brungard has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 11 papers in Artificial Intelligence and 11 papers in Soil Science. Recurrent topics in Colby Brungard's work include Soil Geostatistics and Mapping (23 papers), Geochemistry and Geologic Mapping (11 papers) and Rangeland and Wildlife Management (7 papers). Colby Brungard is often cited by papers focused on Soil Geostatistics and Mapping (23 papers), Geochemistry and Geologic Mapping (11 papers) and Rangeland and Wildlife Management (7 papers). Colby Brungard collaborates with scholars based in United States, Iran and Belgium. Colby Brungard's co-authors include Skye Wills, Travis Nauman, Michael C. Duniway, Janis L. Boettinger, Thomas C. Edwards, Eric F. Wood, Nathaniel W. Chaney, Alex B. McBratney, James A. Thompson and Nathan Odgers and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Soil Science Society of America Journal.

In The Last Decade

Colby Brungard

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Colby Brungard United States 16 857 432 337 268 266 35 1.3k
Norair Toomanian Iran 17 855 1.0× 378 0.9× 263 0.8× 337 1.3× 301 1.1× 38 1.2k
Mette Balslev Greve Denmark 17 839 1.0× 545 1.3× 288 0.9× 297 1.1× 166 0.6× 34 1.2k
Alexandre M.J.‐C. Wadoux Australia 25 1.3k 1.5× 672 1.6× 474 1.4× 466 1.7× 259 1.0× 55 1.9k
Ren‐Min Yang China 18 594 0.7× 576 1.3× 465 1.4× 216 0.8× 183 0.7× 42 1.3k
Madlene Nussbaum Switzerland 11 684 0.8× 298 0.7× 236 0.7× 246 0.9× 154 0.6× 25 1.2k
Elia Scudiero United States 21 831 1.0× 362 0.8× 467 1.4× 179 0.7× 195 0.7× 56 1.6k
Travis Nauman United States 18 553 0.6× 381 0.9× 425 1.3× 104 0.4× 146 0.5× 38 1.3k
Ross Searle Australia 16 555 0.6× 403 0.9× 230 0.7× 131 0.5× 85 0.3× 37 947
Gábor Szatmári Hungary 17 500 0.6× 323 0.7× 197 0.6× 247 0.9× 107 0.4× 62 1.2k
Anne C Richer-De-Forges France 25 1.3k 1.5× 853 2.0× 422 1.3× 430 1.6× 270 1.0× 43 1.7k

Countries citing papers authored by Colby Brungard

Since Specialization
Citations

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

Fields of papers citing papers by Colby Brungard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colby Brungard

This figure shows the co-authorship network connecting the top 25 collaborators of Colby Brungard. A scholar is included among the top collaborators of Colby Brungard 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 Colby Brungard. Colby Brungard 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.
Grover, Kulbhushan, José Lucas Safanelli, Jonathan Sanderman, Bryan G. Hopkins, & Colby Brungard. (2025). The Utility of Laboratory Measurement Uncertainty: A Case‐Study Using the Open Soil Spectral Library Service. European Journal of Soil Science. 76(4).
2.
Webb, Nicholas P., Akasha M. Faist, Beth A. Newingham, et al.. (2024). Dust transport pathways from The Great Basin. Aeolian Research. 72. 100958–100958. 2 indexed citations
3.
Nauman, Travis, et al.. (2024). Soil landscapes of the United States (SOLUS): Developing predictive soil property maps of the conterminous United States using hybrid training sets. Soil Science Society of America Journal. 88(6). 2046–2065. 5 indexed citations
4.
5.
Pahlavan-Rad, Mohammad Reza, et al.. (2024). Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic. Soil and Water Research. 19(1). 32–49. 5 indexed citations
6.
Heuvelink, G.B.M., et al.. (2024). Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning. European Journal of Soil Science. 75(5). 3 indexed citations
7.
McNellis, Brandon E., Anna C. Knight, Travis Nauman, et al.. (2023). Livestock removal increases plant cover across a heterogeneous dryland landscape on the Colorado Plateau. Environmental Research Letters. 2 indexed citations
8.
Jha, Gaurav, April Ulery, Kevin Lombard, et al.. (2021). Portable X-ray Fluorescence (PXRF) Analysis of Total Metal(loid)s and Sequential Extraction of Bioavailable Arsenic in Agricultural Soils of Animas Watershed. Water Air & Soil Pollution. 232(7). 2 indexed citations
9.
Jha, Gaurav, April Ulery, Kevin Lombard, et al.. (2021). Agricultural soils of the Animas River watershed after the Gold King Mine spill: An elemental spatiotemporal analysis via portable X‐ray fluorescence spectroscopy. Journal of Environmental Quality. 50(3). 730–743. 9 indexed citations
10.
Brungard, Colby. (2021). Alternative Sampling and Analysis Methods for Digital Soil Mapping in Southwestern Utah. Digital Commons - USU (Utah State University).
11.
Whiting, Michael L., et al.. (2020). Rapid bulk density measurement using mobile device photogrammetry. Soil Science Society of America Journal. 84(3). 811–817. 7 indexed citations
12.
Zeraatpisheh, Mojtaba, Shamsollah Ayoubi, Colby Brungard, & Peter Finke. (2019). Disaggregating and updating a legacy soil map using DSMART, fuzzy c-means and k-means clustering algorithms in Central Iran. Geoderma. 340. 249–258. 32 indexed citations
13.
Ross, C. Wade, Sabine Grunwald, Jason G. Vogel, et al.. (2019). Accounting for two-billion tons of stabilized soil carbon. The Science of The Total Environment. 703. 134615–134615. 21 indexed citations
14.
Jamshidi, Mohammad, Mohammad Amir Delavar, Ruhollah Taghizadeh‐Mehrjardi, & Colby Brungard. (2019). Disaggregation of conventional soil map by generating multi realizations of soil class distribution (case study: Saadat Shahr plain, Iran). Environmental Monitoring and Assessment. 191(12). 267–267. 5 indexed citations
15.
Ramcharan, Amanda, Tomislav Hengl, Travis Nauman, et al.. (2018). Soil Property and Class Maps of the Conterminous United States at 100‐Meter Spatial Resolution. Soil Science Society of America Journal. 82(1). 186–201. 198 indexed citations
16.
Fan, Zhaosheng, Skye Wills, Jeffrey E. Herrick, et al.. (2018). Approaches for Improving Field Soil Identification. Soil Science Society of America Journal. 82(4). 871–877. 4 indexed citations
17.
Nauman, Travis, Amanda Ramcharan, Colby Brungard, et al.. (2017). Soil Properties and Class 100m Grids United States. ScholarSphere (Penn State Libraries). 3 indexed citations
18.
Pahlavan-Rad, Mohammad Reza, Farhad Khormali, Norair Toomanian, et al.. (2016). Legacy soil maps as a covariate in digital soil mapping: A case study from Northern Iran. Geoderma. 279. 141–148. 47 indexed citations
19.
Brungard, Colby, Janis L. Boettinger, Michael C. Duniway, Skye Wills, & Thomas C. Edwards. (2014). Machine learning for predicting soil classes in three semi-arid landscapes. Geoderma. 239-240. 68–83. 302 indexed citations
20.
Toomanian, Norair, et al.. (2014). Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran. Geoderma. 232-234. 97–106. 108 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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