D.J. Brus

7.1k total citations
125 papers, 5.0k citations indexed

About

D.J. Brus is a scholar working on Environmental Engineering, Environmental Chemistry and Soil Science. According to data from OpenAlex, D.J. Brus has authored 125 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Environmental Engineering, 29 papers in Environmental Chemistry and 25 papers in Soil Science. Recurrent topics in D.J. Brus's work include Soil Geostatistics and Mapping (80 papers), Soil and Water Nutrient Dynamics (29 papers) and Geochemistry and Geologic Mapping (16 papers). D.J. Brus is often cited by papers focused on Soil Geostatistics and Mapping (80 papers), Soil and Water Nutrient Dynamics (29 papers) and Geochemistry and Geologic Mapping (16 papers). D.J. Brus collaborates with scholars based in Netherlands, China and Australia. D.J. Brus's co-authors include G.B.M. Heuvelink, J.J. de Gruijter, M. Knotters, Bas Kempen, Alexandre M.J.‐C. Wadoux, D.J.J. Walvoort, Marc F. P. Bierkens, J.J. Stoorvogel, J.H. Oude Voshaar and F. de Vries and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Environmental Pollution.

In The Last Decade

D.J. Brus

121 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Brus Netherlands 35 3.0k 1.4k 1.1k 884 751 125 5.0k
Thomas F. A. Bishop Australia 31 2.6k 0.9× 1.6k 1.1× 990 0.9× 731 0.8× 871 1.2× 110 4.6k
Mogens Humlekrog Greve Denmark 36 2.1k 0.7× 1.4k 0.9× 919 0.8× 792 0.9× 419 0.6× 145 3.7k
David G. Rossiter United States 33 2.1k 0.7× 1.4k 1.0× 957 0.9× 631 0.7× 981 1.3× 137 4.8k
Dennis L. Corwin United States 41 3.9k 1.3× 1.4k 0.9× 1.0k 0.9× 551 0.6× 502 0.7× 118 6.7k
Kenneth A. Sudduth United States 48 3.9k 1.3× 2.4k 1.6× 1.8k 1.6× 739 0.8× 550 0.7× 222 7.9k
Laura Poggio United Kingdom 27 1.7k 0.6× 1.1k 0.8× 968 0.9× 564 0.6× 895 1.2× 65 3.7k
Philippe Lagacherie France 37 2.8k 0.9× 1.5k 1.1× 1.2k 1.1× 1.2k 1.3× 554 0.7× 107 4.1k
Asim Biswas Canada 44 2.8k 0.9× 1.8k 1.3× 1.2k 1.1× 697 0.8× 1.5k 2.0× 288 6.6k
Sabine Grunwald United States 38 3.4k 1.1× 1.8k 1.3× 1.3k 1.2× 1.5k 1.7× 1.2k 1.6× 133 6.1k
Inakwu Odeh Australia 40 3.2k 1.1× 1.8k 1.2× 1.6k 1.5× 910 1.0× 1.8k 2.3× 82 6.2k

Countries citing papers authored by D.J. Brus

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Brus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Brus. 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 D.J. Brus. The network helps show where D.J. Brus may publish in the future.

Co-authorship network of co-authors of D.J. Brus

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Brus. A scholar is included among the top collaborators of D.J. Brus 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 D.J. Brus. D.J. Brus 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.
Brus, D.J., et al.. (2021). Bayesian approach for sample size determination, illustrated with Soil Health Card data of Andhra Pradesh (India). Geoderma. 405. 115396–115396. 1 indexed citations
2.
Ma, Tianwu, D.J. Brus, A‐Xing Zhu, Lei Zhang, & Thomas Scholten. (2020). Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps. Geoderma. 370. 114366–114366. 40 indexed citations
3.
Dai, Wen, Xin Yang, Jiaming Na, et al.. (2019). Effects of DEM resolution on the accuracy of gully maps in loess hilly areas. CATENA. 177. 114–125. 60 indexed citations
4.
Brus, D.J. & J.J.H. van den Akker. (2018). How serious a problem is subsoil compaction in the Netherlands? A survey based on probability sampling. SOIL. 4(1). 37–45. 29 indexed citations
5.
Heuvelink, G.B.M., et al.. (2016). Uncertainty quantification of interpolated maps derived from observations with different accuracy levels. Socio-Environmental Systems Modeling. 4 indexed citations
6.
Brus, D.J., et al.. (2014). Disaggregation of soil testing data on organic matter by the summary statistics approach to area-to-point kriging. Geoderma. 226-227. 151–159. 9 indexed citations
7.
Brus, D.J.. (2010). Design-based and model-based sampling strategies for soil monitoring. Socio-Environmental Systems Modeling. 32–34. 3 indexed citations
8.
Heuvelink, G.B.M., D.J. Brus, & G.J. Reinds. (2010). Accounting for spatial sampling effects in regional uncertainty propagation analysis. Reviews in Cardiovascular Medicine. 22(3). 85–88. 4 indexed citations
9.
Vries, W. de, et al.. (2010). Impacts of sampling design and estimation methods on nutrient leaching of intensively monitored forest plots in the Netherlands. Journal of Environmental Monitoring. 12(8). 1515–1515. 3 indexed citations
10.
Kool, Dorien M., N. Wrage, Sophie Zechmeister‐Boltenstern, et al.. (2009). Nitrifier denitrification can be a source of N2O from soil: a revised approach to the dual isotope labelling method. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
11.
Walvoort, D.J.J., D.J. Brus, & J.J. de Gruijter. (2009). Spatial coverage sampling on various spatial scales. Socio-Environmental Systems Modeling. 26(5). 20–22. 1 indexed citations
12.
Brus, D.J., et al.. (2009). National baseline survey of soil quality in the Netherlands. Environmental Pollution. 157(7). 2043–2052. 39 indexed citations
13.
Berg, F. van den, D.J. Brus, S.L.G.E. Burgers, et al.. (2008). Uncertainty and sensitivity analysis of GeoPEARL. Socio-Environmental Systems Modeling. 6 indexed citations
14.
Heres, L., D.J. Brus, & Thomas J. Hagenaars. (2008). Spatial analysis of BSE cases in the Netherlands. BMC Veterinary Research. 4(1). 21–21. 9 indexed citations
15.
Brus, D.J. & G.B.M. Heuvelink. (2007). Towards a soil information system with quantified accuracy : three approaches for stochastic simulation of soil maps. Socio-Environmental Systems Modeling. 8 indexed citations
16.
Brus, D.J., et al.. (2006). Can we gain precision by sampling with probabilities proportional to size in surveying recent landscape changes in the Netherlands?. Environmental Monitoring and Assessment. 122(1-3). 153–169. 1 indexed citations
17.
Brus, D.J. & J.J. de Gruijter. (2003). A Method to Combine Non-probability Sample Data with Probability Sample Data in Estimating Spatial Means of Environmental Variables. Environmental Monitoring and Assessment. 83(3). 303–317. 16 indexed citations
18.
Brus, D.J., M.J.W. Jansen, & J.J. de Gruijter. (2002). Optimizing two- and three-stage designs for spatial inventories of natural resources by simulated annealing. Environmental and Ecological Statistics. 9(1). 71–88. 3 indexed citations
19.
Finke, Peter, T. Hoogland, Marc F. P. Bierkens, D.J. Brus, & F. de Vries. (1999). Pilot naar grondwaterkaarten in het Weerijsgebied. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Berg, M.W. van den, et al.. (1995). Patterns and velocities of recent crustal movements in the Dutch part of the Roer Valley rift system.. Netherlands Journal of Geosciences – Geologie en Mijnbouw. 73. 157–168. 31 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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