Bradley A. Miller

2.2k total citations · 1 hit paper
47 papers, 1.5k citations indexed

About

Bradley A. Miller is a scholar working on Environmental Engineering, Soil Science and Ecology. According to data from OpenAlex, Bradley A. Miller has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Engineering, 21 papers in Soil Science and 14 papers in Ecology. Recurrent topics in Bradley A. Miller's work include Soil Geostatistics and Mapping (29 papers), Soil erosion and sediment transport (13 papers) and Soil Carbon and Nitrogen Dynamics (11 papers). Bradley A. Miller is often cited by papers focused on Soil Geostatistics and Mapping (29 papers), Soil erosion and sediment transport (13 papers) and Soil Carbon and Nitrogen Dynamics (11 papers). Bradley A. Miller collaborates with scholars based in United States, Germany and United Kingdom. Bradley A. Miller's co-authors include Randall J. Schaetzl, Yones Khaledian, Eric C. Brevik, Michael Sommer, Sylvia Koszinski, Marc Wehrhan, Paulo Pereira, António Jordán, Costanza Calzolari and Cezary Kabała and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth-Science Reviews and Soil Science Society of America Journal.

In The Last Decade

Bradley A. Miller

44 papers receiving 1.4k citations

Hit Papers

Selecting appropriate mac... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Selecting appropriate machine learning methods for digital soil mapping
    2019 292 citations Yones Khaledian, Bradley A. Miller Applied Mathematical Modelling profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradley A. Miller United States 20 764 548 339 270 257 47 1.5k
Janis L. Boettinger United States 18 718 0.9× 564 1.0× 389 1.1× 246 0.9× 246 1.0× 31 1.8k
Erika Michéli Hungary 20 503 0.7× 731 1.3× 234 0.7× 222 0.8× 173 0.7× 97 1.5k
Ren‐Min Yang China 18 594 0.8× 576 1.1× 465 1.4× 183 0.7× 216 0.8× 42 1.3k
Mette Balslev Greve Denmark 17 839 1.1× 545 1.0× 288 0.8× 166 0.6× 297 1.2× 34 1.2k
Skye Wills United States 21 1.1k 1.4× 873 1.6× 372 1.1× 218 0.8× 402 1.6× 41 1.8k
Uta Stockmann Australia 16 700 0.9× 539 1.0× 243 0.7× 110 0.4× 457 1.8× 25 1.3k
Stephen R. Cattle Australia 20 870 1.1× 751 1.4× 187 0.6× 150 0.6× 383 1.5× 52 2.0k
Mareike Ließ Germany 15 835 1.1× 1.4k 2.5× 639 1.9× 259 1.0× 265 1.0× 33 2.2k
D.S. Yu China 14 423 0.6× 732 1.3× 310 0.9× 145 0.5× 97 0.4× 22 1.2k
Anne C Richer-De-Forges France 25 1.3k 1.7× 853 1.6× 422 1.2× 270 1.0× 430 1.7× 43 1.7k

Countries citing papers authored by Bradley A. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Bradley A. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley A. Miller. 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 Bradley A. Miller. The network helps show where Bradley A. Miller may publish in the future.

Co-authorship network of co-authors of Bradley A. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley A. Miller. A scholar is included among the top collaborators of Bradley A. Miller 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 Bradley A. Miller. Bradley A. Miller 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.
Chen, Wei, et al.. (2025). An optimal sample size index for updating spatial soil models. Geoderma. 455. 117208–117208. 3 indexed citations
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Miller, Bradley A., et al.. (2024). Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials. Crop Science. 64(6). 3135–3152. 3 indexed citations
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Mello, Danilo César de, Nélida Elizabet Quiñonez Silvero, Bradley A. Miller, et al.. (2024). Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies. SHILAP Revista de lepidopterología. 3. 100028–100028. 1 indexed citations
8.
McDaniel, Marshall D., et al.. (2023). Carbon Storage in Cropland Soils: Insights from Iowa, United States. Land. 12(8). 1630–1630. 5 indexed citations
9.
Miller, Bradley A., et al.. (2022). Choosing Feature Selection Methods for Spatial Modeling of Soil Fertility Properties at the Field Scale. Agronomy. 12(8). 1786–1786. 9 indexed citations
10.
Miller, Bradley A., et al.. (2022). Harmonized landform regions in the glaciated Central Lowlands, USA. Journal of Maps. 18(2). 448–460. 2 indexed citations
11.
Schaetzl, Randall J., et al.. (2020). Holocene, silty-sand loess downwind of dunes in Northern Michigan, USA. Physical Geography. 42(1). 25–49. 5 indexed citations
12.
Miller, Bradley A., Eric C. Brevik, Paulo Pereira, & Randall J. Schaetzl. (2019). Progress in soil geography I: Reinvigoration. Progress in Physical Geography Earth and Environment. 43(6). 827–854. 16 indexed citations
13.
Khaledian, Yones & Bradley A. Miller. (2019). Selecting appropriate machine learning methods for digital soil mapping. Applied Mathematical Modelling. 81. 401–418. 292 indexed citations breakdown →
14.
Marques, Karina Patrícia Prazeres, José Alexandre Melo Demattê, Bradley A. Miller, & I. F. Lepsch. (2018). Geomorphometric segmentation of complex slope elements for detailed digital soil mapping in southeast Brazil. Geoderma Regional. 14. e00175–e00175. 16 indexed citations
15.
Miller, Bradley A., Darrell G. Schulze, J. R. Crum, et al.. (2018). Soil Explorer - Impressive Interpretations from the USA Soil Survey Maps. EGUGA. 10927. 1 indexed citations
16.
Miller, Bradley A., Sylvia Koszinski, Marc Wehrhan, & Michael Sommer. (2015). Comparison of spatial association approaches for landscape mapping of soil organic carbon stocks. SOIL. 1(1). 217–233. 38 indexed citations
17.
Brevik, Eric C., Costanza Calzolari, Bradley A. Miller, et al.. (2015). Soil mapping, classification, and pedologic modeling: History and future directions. Geoderma. 264. 256–274. 234 indexed citations
18.
Miller, Bradley A. & Randall J. Schaetzl. (2015). History of soil geography in the context of scale. Geoderma. 264. 284–300. 48 indexed citations
19.
Miller, Bradley A., Sylvia Koszinski, Marc Wehrhan, & Michael Sommer. (2014). Impact of multi-scale predictor selection for modeling soil properties. Geoderma. 239-240. 97–106. 111 indexed citations
20.
Miller, Bradley A. & Randall J. Schaetzl. (2012). Precision of Soil Particle Size Analysis using Laser Diffractometry. Soil Science Society of America Journal. 76(5). 1719–1727. 115 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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