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.
SoilGrids250m: Global gridded soil information based on machine learning
20172.9k citationsTomislav Hengl, G.B.M. Heuvelink et al.profile →
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
20211.1k citationsG.B.M. Heuvelink, Bas Kempen et al.profile →
SoilGrids1km — Global Soil Information Based on Automated Mapping
2014873 citationsTomislav Hengl, R.A. MacMillan et al.profile →
A generic framework for spatial prediction of soil variables based on regression-kriging
2003846 citationsTomislav Hengl, G.B.M. Heuvelink et al.profile →
About regression-kriging: From equations to case studies
2007733 citationsTomislav Hengl, G.B.M. Heuvelink et al.profile →
Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
2015662 citationsTomislav Hengl, G.B.M. Heuvelink et al.profile →
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
2018659 citationsTomislav Hengl, G.B.M. Heuvelink et al.profile →
Spatio-Temporal Interpolation using gstat
2016658 citationsEdzer Pebesma, G.B.M. Heuvelink et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by G.B.M. Heuvelink
Since
Specialization
Citations
This map shows the geographic impact of G.B.M. Heuvelink'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 G.B.M. Heuvelink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.B.M. Heuvelink more than expected).
Fields of papers citing papers by G.B.M. Heuvelink
This network shows the impact of papers produced by G.B.M. Heuvelink. 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 G.B.M. Heuvelink. The network helps show where G.B.M. Heuvelink may publish in the future.
Co-authorship network of co-authors of G.B.M. Heuvelink
This figure shows the co-authorship network connecting the top 25 collaborators of G.B.M. Heuvelink.
A scholar is included among the top collaborators of G.B.M. Heuvelink 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 G.B.M. Heuvelink. G.B.M. Heuvelink is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hengl, Tomislav, G.B.M. Heuvelink, Jonathan Sanderman, & R.A. MacMillan. (2017). Spatiotemporal models of global soil organic carbon stock to support land degradation assessments at regional and global scales: limitations, challenges and opportunities. EGU General Assembly Conference Abstracts. 14946.2 indexed citations
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
9.
Heuvelink, G.B.M., et al.. (2016). 'spup' - An R package for uncertainty propagation in spatial environmental modelling. Socio-Environmental Systems Modeling. 275–282.2 indexed citations
10.
Samuel‐Rosa, Alessandro, et al.. (2015). spsann - optimization of sample patterns using spatial simulated annealing. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 7780.5 indexed citations
Bastin, Lucy, Mathew Williams, John Paul Gosling, et al.. (2011). Web based expert elicitation of uncertainties in environmental model inputs. Socio-Environmental Systems Modeling. 13. 5384–5384.1 indexed citations
13.
Skøien, Jon Olav, et al.. (2011). Uncertainty propagation in chained web based modeling services: the case of eHabitat.. EnviroInfo. 46–58.1 indexed citations
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
17.
Heuvelink, G.B.M., et al.. (2007). Towards a soil information system for uncertain soil data. Socio-Environmental Systems Modeling. 97–106.3 indexed citations
Gruijter, J.J. de, et al.. (2004). Grondwater opnieuw op de kaart; methodiek voor de actualisering van grondwaterstandsinformatie en perceelsclassificatie naar uitspoelingsgevoeligheid voor nitraat. Socio-Environmental Systems Modeling.3 indexed citations
20.
Jost, G., et al.. (2002). Comparing the space-time distribution of soil water storage for two forest ecosystems using spatio-temporal kriging. Socio-Environmental Systems Modeling.1 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.