Brian Gelder

757 total citations
31 papers, 544 citations indexed

About

Brian Gelder is a scholar working on Soil Science, Ecology and Water Science and Technology. According to data from OpenAlex, Brian Gelder has authored 31 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Soil Science, 12 papers in Ecology and 10 papers in Water Science and Technology. Recurrent topics in Brian Gelder's work include Soil erosion and sediment transport (14 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Sediment Transport Processes (6 papers). Brian Gelder is often cited by papers focused on Soil erosion and sediment transport (14 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Sediment Transport Processes (6 papers). Brian Gelder collaborates with scholars based in United States, Brazil and China. Brian Gelder's co-authors include Amy L. Kaleita, Richard M. Cruse, Vitor S. Martins, David James, Daryl Herzmann, Robert P. Anex, Sami Khanal, Dennis C. Flanagan, Erick Cardenas and Calvin F. Wolter and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Soil Science Society of America Journal.

In The Last Decade

Brian Gelder

29 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Gelder United States	11	235	169	119	115	111	31	544
Tian Yue China	16	184 0.8×	150 0.9×	287 2.4×	45 0.4×	93 0.8×	35	737
Chen Shi China	13	292 1.2×	31 0.2×	178 1.5×	170 1.5×	190 1.7×	32	728
Willy Huybrechts Belgium	6	167 0.7×	82 0.5×	124 1.0×	112 1.0×	124 1.1×	20	513
Qinghu Jiang China	13	292 1.2×	191 1.1×	125 1.1×	28 0.2×	466 4.2×	23	783
Naftaly Goldshleger Israel	15	179 0.8×	138 0.8×	92 0.8×	41 0.4×	359 3.2×	33	578
Qu Zhou United States	11	199 0.8×	86 0.5×	103 0.9×	48 0.4×	176 1.6×	23	525
Kazuo Oki Japan	13	157 0.7×	44 0.3×	240 2.0×	220 1.9×	108 1.0×	61	609
Toby Waine United Kingdom	16	185 0.8×	105 0.6×	131 1.1×	49 0.4×	239 2.2×	52	761
Dan Cao China	15	243 1.0×	116 0.7×	297 2.5×	82 0.7×	100 0.9×	32	602

Countries citing papers authored by Brian Gelder

Since Specialization

Citations

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

Fields of papers citing papers by Brian Gelder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Gelder

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

All Works

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20 of 20 papers shown

Gelder, Brian, et al.. (2024). Estimation of Crop Residue Cover Utilizing Multiple Ground Truth Survey Techniques and Multi-Satellite Regression Models. Remote Sensing. 16(22). 4185–4185. 1 indexed citations

Gelder, Brian, et al.. (2024). Estimating erosion vulnerability within agricultural fields by downscaling the Daily Erosion Project (DEP): the OFEtool. Earth Surface Processes and Landforms. 49(13). 4444–4454.

Mulla, D. J., et al.. (2023). Calibration and validation of hillslope runoff and soil loss outputs from the Water Erosion Prediction Project model in Minnesota agricultural watersheds. JAWRA Journal of the American Water Resources Association. 59(6). 1529–1548. 2 indexed citations

Cruse, Richard M., Daryl Herzmann, Brian Gelder, David E. James, & Dennis C. Flanagan. (2023). Impacts of Changing Precipitation Events on Landscape Soil Erosion Estimates. 1 indexed citations

Lory, John A., et al.. (2023). Using Google Earth Imagery to Target Assessments of Ephemeral Gully Erosion. Journal of the ASABE. 66(1). 155–166. 6 indexed citations

Cruse, Richard M., Daryl Herzmann, Brian Gelder, David E. James, & Dennis C. Flanagan. (2023). Impacts of Changing Precipitation Events on Landscape Soil Erosion Estimates.

Gelder, Brian, et al.. (2023). Examining heat inequity in a Brazilian metropolitan region. Environment and Planning B Urban Analytics and City Science. 51(1). 109–127. 10 indexed citations

Gelder, Brian, et al.. (2023). Using Google Earth Imagery to Target Assessments of Ephemeral Gully Erosion. 2 indexed citations

Wang, Chunmei, et al.. (2021). Grid order prediction of ephemeral gully head cut position: Regional scale application. CATENA. 200. 105158–105158. 9 indexed citations

10.

Martins, Vitor S., Amy L. Kaleita, & Brian Gelder. (2021). Digital mapping of structural conservation practices in the Midwest U.S. croplands: Implementation and preliminary analysis. The Science of The Total Environment. 772. 145191–145191. 9 indexed citations

11.

Martins, Vitor S., et al.. (2020). Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data. International Journal of Applied Earth Observation and Geoinformation. 93. 102215–102215. 35 indexed citations

12.

Kaleita, Amy L., et al.. (2019). Exploring Object-Based CNN Architecture for Land Cover Classification of High-Resolution Remote Sensing Data. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

13.

Martins, Vitor S., et al.. (2019). IowaNet dataset for deep learning: 1 million samples with 10 land cover classes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

14.

Jeong, H. David, et al.. (2018). Dynamic Pavement Delineation and Visualization Approach Using Data Mining. Journal of Computing in Civil Engineering. 32(4). 6 indexed citations

15.

Choi, Jinlyung, Fan Yang, Ramūnas Stepanauskas, et al.. (2016). Strategies to improve reference databases for soil microbiomes. The ISME Journal. 11(4). 829–834. 82 indexed citations

16.

Gelder, Brian. (2015). Automation of DEM Cutting for Hydrologic/Hydraulic Modeling. Iowa State University Digital Repository (Iowa State University). 9 indexed citations

17.

Khanal, Sami, Robert P. Anex, Brian Gelder, & Calvin F. Wolter. (2013). Nitrogen balance in Iowa and the implications of corn-stover harvesting. Agriculture Ecosystems & Environment. 183. 21–30. 26 indexed citations

18.

Anderson, Christopher J., Robert P. Anex, Raymond W. Arritt, et al.. (2013). Regional climate impacts of a biofuels policy projection. Geophysical Research Letters. 40(6). 1217–1222. 12 indexed citations

19.

Khanal, Sami, et al.. (2012). Cropping pattern choice with proximity to ethanol production and animal feeding operations. Biofuels Bioproducts and Biorefining. 6(4). 431–443. 2 indexed citations

20.

Gelder, Brian, Richard M. Cruse, & Amy L. Kaleita. (2008). Automated determination of management units for precision conservation. Journal of Soil and Water Conservation. 63(5). 273–279. 10 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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