J.C. Gehrels

457 citations
11 papers · 367 indexed · h-index 7
Topics
Groundwater flow and contamination studies (6 papers)Hydrological Forecasting Using AI (5 papers)Hydrology and Watershed Management Studies (5 papers)
Partner nations
NetherlandsUnited States

In The Last Decade

J.C. Gehrels

11 papers receiving 336 citations

Peers

J.C. Gehrels
Comparison fields: 5 of 47
  • Environmental Engineering 221
  • Ocean Engineering 174
  • Geophysics 125
  • Water Science and Technology 101
  • Geochemistry and Petrology 70
Replace Hubao Zhang with:
Hubao Zhang United States
Christen Knudby Spain
Fábio Taioli Brazil
M. Bakr Netherlands
P.S. Pauw Netherlands
K. Pohlmann United States
Elijah A. Ayolabi Nigeria
Philippe Sentenac United Kingdom
Erik I. Anderson United States
Brioch Hemmings New Zealand
J.C. Gehrels relative to Hubao Zhang United States Hubao Zhang's profile →
Citations per field
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Hubao Zhang · 1×
Citations per year

Countries citing papers authored by J.C. Gehrels

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Gehrels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.C. Gehrels

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Gehrels. A scholar is included among the top collaborators of J.C. Gehrels 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.C. Gehrels. J.C. Gehrels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2
Calibration and reliability in groundwater modelling : from uncertainty to decision making : proceedings of the ModelCARE 2005 conference : held in The Hague, The Netherlands, 6-9 June, 2005
2
3
Calibration and Reliability in Groundwater Modelling: From Uncertainty to Decision Making
5
4 22
5 31
6 15
7 18
8
Recharge assessment: Comparing tracers, micro-meteorology and soil water models.
5
9 63
10 161
11 44

About J.C. Gehrels

J.C. Gehrels is a scholar working on Environmental Engineering, Water Science and Technology and Ocean Engineering, having authored 11 papers that have together received 367 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (6 papers), Hydrological Forecasting Using AI (5 papers) and Hydrology and Watershed Management Studies (5 papers). The work is most often cited by research in Environmental Engineering (221 citations), Geochemistry and Petrology (70 citations) and Ocean Engineering (174 citations). J.C. Gehrels has collaborated with scholars based in Netherlands and United States. Frequent co-authors include R.A. van Overmeeren, J.J. de Vries, F.C. van Geer, Mark J. Dekkers, Arnold Heemink, F. M. Dekking, Amro Elfeki and Marc F. P. Bierkens. Their work appears in journals such as Journal of Hydrology, Advances in Water Resources and Ground Water.

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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