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.
Simulation model of the water balance of a cropped soil: SWATRE
1983501 citationsJ.G. Wesseling, R.A. Feddes et al.Journal of Hydrologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by J.G. Wesseling
Since
Specialization
Citations
This map shows the geographic impact of J.G. Wesseling'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 J.G. Wesseling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.G. Wesseling more than expected).
This network shows the impact of papers produced by J.G. Wesseling. 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 J.G. Wesseling. The network helps show where J.G. Wesseling may publish in the future.
Co-authorship network of co-authors of J.G. Wesseling
This figure shows the co-authorship network connecting the top 25 collaborators of J.G. Wesseling.
A scholar is included among the top collaborators of J.G. Wesseling 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 J.G. Wesseling. J.G. Wesseling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wösten, J.H.M., et al.. (2013). BOFEK2012. de nieuwe bodemfysische schematisatie van Nederland. Socio-Environmental Systems Modeling. 2012. 1–3.14 indexed citations
Wesseling, J.G., L.W. Dekker, K. Oostindie, & C.J. Ritsema. (2006). Bepaling van waterschade op de golfbaan Martensplek in Tiendeveen in het najaar van 1998 met behulp van het model SWAP. Socio-Environmental Systems Modeling. 12(1). 25–42.1 indexed citations
Wesseling, J.G., K. Oostindie, L.W. Dekker, & C.J. Ritsema. (2005). Resultaten van veldwaarnemingen en berekeningen voor de golfbaan Martensplek in Tiendeveen ter bepaling van de opgelopen waterschade in het najaar van 1998.. Socio-Environmental Systems Modeling.1 indexed citations
11.
Wesseling, J.G., J.G. Kroes, & Klaas Metselaar. (1998). Global sensitivity analysis of the Soil-Water-Atmosphere-Plant (Swap) model. Socio-Environmental Systems Modeling.11 indexed citations
12.
Wesseling, J.G., et al.. (1985). Estimation of the optimal depth of the groundwater level for a layered peaty-mucky soil profile using a steady state moisture flow solution. Socio-Environmental Systems Modeling.1 indexed citations
13.
Wesseling, J.G., et al.. (1985). Introduction of the occurrence of high groundwater levels and surface water storage in computer program SWATRE. Socio-Environmental Systems Modeling.10 indexed citations
Wesseling, J.G.. (1981). Een computerprogramma voor het bepalen van de optimale ligging van drie lijnstukken door een serie getallenparen. Socio-Environmental Systems Modeling.1 indexed citations
16.
Wesseling, J.G.. (1980). Saline seepage in the Netherlands, occurrence and magnitude.. 17–33.4 indexed citations
Wesseling, J.G.. (1961). Toepassing van plastic bij drainage. Socio-Environmental Systems Modeling. 73(9). 355–365.1 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.