John Ruprecht

1.2k citations
31 papers · 923 · h-index 15

Impact in

Papers in

    • Hydrological Forecasting Using AI 4
    • Groundwater and Watershed Analysis 4
    • Soil Geostatistics and Mapping 4
    • Urban Stormwater Management Solutions 3
    • Groundwater flow and contamination studies 3
    • Hydrology and Watershed Management Studies 17

John Ruprecht

29 papers receiving 827 citations

Peers

John Ruprecht
Comparison fields: 5 of 59
  • Water Science and Technology 515
  • Soil Science 216
  • Environmental Engineering 250
  • Global and Planetary Change 343
  • Forestry 62
Replace Jorge Marcos de Moraes with:
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John Ruprecht relative to Jorge Marcos de Moraes Brazil Jorge Marcos de Moraes's profile →
Citations per field
00.5×2.8×
Jorge Marcos de Moraes · 1×
Citations per year

Countries citing papers authored by John Ruprecht

Since Specialization
Citations

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

Fields of papers citing papers by John Ruprecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Ruprecht. 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 John Ruprecht. The network helps show where John Ruprecht may publish in the future.

Co-authors

The 25 scholars most cited alongside John Ruprecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Ruprecht Line = papers co-authored together John Ruprecht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003110
2 1987108
3 198995
4 200390
5 199667
6 199161
7 199654
8 199354
9 198948
10 199133
11 202029
12 199627
13 199124
14
Water and salt balance modeling to predict the effects of land use changes in forested catchments.
199324
15 202316
16 201913
17 199013
18 199310
19 19907
20 20197

About John Ruprecht

John Ruprecht is a scholar working on Environmental Engineering, Water Science and Technology, Soil Science, Civil and Structural Engineering and Global and Planetary Change, having authored 31 papers that have together received 923 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (17 papers), Soil erosion and sediment transport (9 papers), Soil and Unsaturated Flow (7 papers), Hydrological Forecasting Using AI (4 papers), Groundwater and Watershed Analysis (4 papers), Soil Geostatistics and Mapping (4 papers), Urban Stormwater Management Solutions (3 papers) and Groundwater flow and contamination studies (3 papers). The work is most often cited by research in Water Science and Technology (515 citations), Soil Science (216 citations), Environmental Engineering (250 citations), Global and Planetary Change (343 citations) and Forestry (62 citations). John Ruprecht has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include N.J. Schofield, Murugesu Sivapalan, Adrian Pinder, Neil R. Viney, Stuart Halse, David Williamson, Richard J George, G.L. Stoneman, Tom Hatton and MA Bari. Their work appears in journals such as Journal of Hydrology, Hydrological Processes, Australian Journal of Botany, Plant and Soil and Materials.

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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