This map shows the geographic impact of J. Bril'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. Bril with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Bril more than expected).
This network shows the impact of papers produced by J. Bril. 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. Bril. The network helps show where J. Bril may publish in the future.
Co-authorship network of co-authors of J. Bril
This figure shows the co-authorship network connecting the top 25 collaborators of J. Bril.
A scholar is included among the top collaborators of J. Bril 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. Bril. J. Bril 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.
Kruger, Albert A., Craig L. Just, Raghuraman Mudumbai, et al.. (2011). Freshwater Mussels as Biological Sensors and Cyclers of Aquatic Nitrogen Constituents: An Experimental Investigation. AGU Fall Meeting Abstracts. 2011.1 indexed citations
2.
Römkens, P.F.A.M., J.E. Groenenberg, L.T.C. Bonten, W. de Vries, & J. Bril. (2004). Derivation of partition relationships to calculate Cd, Cu, Ni, Pb, Zn solubility and activity in soil solutions. Socio-Environmental Systems Modeling.51 indexed citations
3.
Vries, W. de, J.E. Groenenberg, Ján Čurlík, et al.. (2003). Long-term risks of inadequate management practices on the sustainability of agricultural soils. Socio-Environmental Systems Modeling.1 indexed citations
4.
Römkens, P.F.A.M., et al.. (2003). Uitspoeling van zware metalen uit landbouwgronden; schatting van de bijdrage van uitspoeling uit landbouwgronden aan de belasting van het oppervlaktewater: modelaanpak en resultaten. Socio-Environmental Systems Modeling.2 indexed citations
5.
Römkens, P.F.A.M., J.E. Groenenberg, J. Bril, & W. de Vries. (2002). Uitspoeling van zware metalen uit landbouwgronden Schatting van de bijdrage van uitspoeling uit landbouwgronden aan de belasting van het oppervlaktewater. Data Archiving and Networked Services (DANS).1 indexed citations
6.
Smal, Halina, et al.. (2000). Soil solution chemistry in the profiles of forest and arable soils developed from loess.. Polish Journal of Soil Science. 33(1). 47–56.2 indexed citations
7.
Japenga, J., et al.. (2000). Het meetnet bodemkwaliteit van de provincie Gelderland; opzet en resultaten 1997-1999. Socio-Environmental Systems Modeling.1 indexed citations
8.
Boels, D., et al.. (2000). Evaluatie actief bodembeheer Krimpenerwaard; een methode voor de verificatie van landbouwkundige risico's; tussenrapport fase 1. Socio-Environmental Systems Modeling.
Castilho, P. del, J. Bril, P.F.A.M. Römkens, & O. Oenema. (1996). Effect of changes in soil factors in soil solution cadmium. Socio-Environmental Systems Modeling. 4. 125–134.1 indexed citations
11.
Castilho, P. del, J. Bril, P.F.A.M. Römkens, & O. Oenema. (1996). Cadmium accumulation and availability in agricultural land and the effects of land use changes. Socio-Environmental Systems Modeling. 153–167.1 indexed citations
Bril, J., et al.. (1995). Critical loads and excess loads of cadmium, copper and lead for European forest soils. Data Archiving and Networked Services (DANS).9 indexed citations
14.
Bril, J., et al.. (1994). Modelling N2O emission from (grazed) grassland. Socio-Environmental Systems Modeling.6 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.