Gilbert Hinge

611 citations
29 papers · 427 · 1 hit paper · h-index 12

Impact in

Papers in

Gilbert Hinge

28 papers receiving 414 citations

Gilbert Hinge's Hit Papers

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria 2023 · 105 citations
1050+1+2Years since publication255075100

Peers

Gilbert Hinge
Comparison fields: 5 of 61
  • Geochemistry and Petrology 84
  • Environmental Engineering 187
  • Water Science and Technology 176
  • Global and Planetary Change 142
  • Atmospheric Science 68
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Citations per year

Countries citing papers authored by Gilbert Hinge

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Hinge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Gilbert Hinge, 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 Gilbert Hinge Line = papers co-authored together Gilbert Hinge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria
Hit paper breakdown →
2023105
2 201838
3 202237
4 202227
5 202023
6 202121
7 202121
8 202219
9 202216
10 202216
11 202414
12 202114
13 201811
14 20239
15 20229
16 20227
17 20197
18 20216
19 20245
20 20225

About Gilbert Hinge

Gilbert Hinge is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Civil and Structural Engineering and Atmospheric Science, having authored 29 papers that have together received 427 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (9 papers), Hydrological Forecasting Using AI (5 papers), Flood Risk Assessment and Management (5 papers), Hydrology and Drought Analysis (5 papers), Precipitation Measurement and Analysis (4 papers), Water Quality and Pollution Assessment (3 papers), Meteorological Phenomena and Simulations (3 papers) and Groundwater and Watershed Analysis (3 papers). The work is most often cited by research in Geochemistry and Petrology (84 citations), Environmental Engineering (187 citations), Water Science and Technology (176 citations), Global and Planetary Change (142 citations) and Atmospheric Science (68 citations). Gilbert Hinge has collaborated with scholars based in India, United Arab Emirates and South Africa. Frequent co-authors include Mohamed A. Hamouda, Manish Kumar Goyal, Di Long, Mohamed M. Mohamed, Ashutosh Sharma, Arup Kumar Sarma, Salah Elsayed, Mohamed Gad, Mohamed Hamdy Eid and Osama Elsherbiny. Their work appears in journals such as Water, Remote Sensing, Modeling Earth Systems and Environment, Environmental Earth Sciences and Sustainability.

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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