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.
This map shows the geographic impact of J. W. Hopmans'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. W. Hopmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. W. Hopmans more than expected).
This network shows the impact of papers produced by J. W. Hopmans. 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. W. Hopmans. The network helps show where J. W. Hopmans may publish in the future.
Co-authorship network of co-authors of J. W. Hopmans
This figure shows the co-authorship network connecting the top 25 collaborators of J. W. Hopmans.
A scholar is included among the top collaborators of J. W. Hopmans 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. W. Hopmans. J. W. Hopmans is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Šimůnek, Jiřı́, J. W. Hopmans, & Naftali Lazarovitch. (2010). A new compensated root water and nutrient uptake model implemented in HYDRUS programs. EGUGA. 3640.1 indexed citations
7.
Hopmans, J. W. & Edwin P. Maurer. (2008). Impact of Climate Change on Irrigation Water Availability, Crop Water Requirements and Soil Salinity in the SJV, CA. Scholar Commons (Santa Clara University).3 indexed citations
8.
Schoups, Gerrit, et al.. (2006). Impact of climate change on crop water requirements, groundwater and soil salinity in the San Joaquin Valley, CA. AGUFM. 2006.1 indexed citations
9.
Harter, Thomas & J. W. Hopmans. (2005). Role of vadose-zone flow processes in regional-scale hydrology: review, opportunities and challenges. 6. 179–208.54 indexed citations
10.
Šimůnek, Jiřı́, J. W. Hopmans, & Nicholas Jarvis. (2005). Modeling compensated root water and solute uptake. AGU Fall Meeting Abstracts. 2005.1 indexed citations
11.
Harter, Thomas, et al.. (2004). Long-term nitrate leaching below the root zone in California tree fruit orchards. eScholarship (California Digital Library).4 indexed citations
12.
Schoups, Gerrit, et al.. (2003). Soil salinization in irrigated agriculture: a regional-scale analysis in the San Joaquin Valley, California. EAEJA. 12902.1 indexed citations
Wildenschild, D., J. W. Hopmans, Carlos Manoel Pedro Vaz, & M. L. Rivers. (2001). Using x-ray beams to study flow processes in underground porous media (ANL/APS/TB-41). 48–50.3 indexed citations
16.
Hopmans, J. W., et al.. (1999). Flow rate dependence of hydraulic properties of unsaturated porous media. Pages.3 indexed citations
17.
Hopmans, J. W. & Thomas Vogel. (1991). Two-Dimensional Analysis of Furrow Infiltration. Irrigation and Drainage. 697–703.7 indexed citations
18.
Hopmans, J. W.. (1987). Some major modifications of the simulation model SWATRE.. Socio-Environmental Systems Modeling.3 indexed citations
19.
Hopmans, J. W. & J.N.M. Stricker. (1987). Soil hydraulic properties in the study area Hupselse Beek as obtained from three different scales of observation: An overview.. Socio-Environmental Systems Modeling.6 indexed citations
20.
Hopmans, J. W. & J.N.M. Stricker. (1987). Application and evaluation of techniques which describe the spatial variation of soil physical and hydrological variables: A final report.. 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.