Hend Hussein

1.0k citations
17 papers · 799 indexed · 1 hit paper · h-index 14

Impact in

Papers in

Hend Hussein

17 papers receiving 773 citations

Hit Papers

Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study 2023 · 107 citations
1072023202620242025255075100

Peers

Hend Hussein
Comparison fields: 5 of 60
  • Geochemistry and Petrology 349
  • Water Science and Technology 543
  • Environmental Engineering 443
  • Industrial and Manufacturing Engineering 85
  • Pollution 99
Replace K. Shankar with:
K. Shankar Ethiopia
C. R. Ramakrishnaiah India
Mir Talas Mahammad Diganta Ireland
G. Ranganna India
Binod Bihari Nayak India
Hekmat Ibrahim Egypt
Chiara Zanotti Italy
Mohamad Sakizadeh Iran
Marco Rotiroti Italy
Samuel B. Olobaniyi Nigeria
Hend Hussein relative to K. Shankar Ethiopia K. Shankar's profile →
Citations per field
00.5×3.0×
K. Shankar · 1×
Citations per year

Countries citing papers authored by Hend Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Hend Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hend Hussein, 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 Hend Hussein Line = papers co-authored together Hend Hussein links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Hit paper breakdown →
2023107
2 202092
3 202191
4 202379
5 202279
6 202368
7 202156
8 202355
9 202049
10 202132
11 201730
12 202416
13 201814
14 202213
15 202410
16 20194
17 20204

About Hend Hussein

Hend Hussein is a scholar working on Geochemistry and Petrology, Environmental Engineering, Water Science and Technology, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 17 papers that have together received 799 indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (11 papers), Water Quality and Pollution Assessment (10 papers), Groundwater and Watershed Analysis (7 papers), Geochemistry and Geologic Mapping (7 papers), Groundwater flow and contamination studies (3 papers), Water Quality Monitoring and Analysis (3 papers), Hydrological Forecasting Using AI (2 papers) and Horticultural and Viticultural Research (1 paper). The work is most often cited by research in Geochemistry and Petrology (349 citations), Water Science and Technology (543 citations), Environmental Engineering (443 citations), Industrial and Manufacturing Engineering (85 citations) and Pollution (99 citations). Hend Hussein has collaborated with scholars based in Egypt, Saudi Arabia and Hungary. Frequent co-authors include Salah Elsayed, Mohamed Gad, Farahat S. Moghanm, Ali Saleh, Mohamed Farouk, Ebrahem M. Eid, Moataz M. Khalifa, Mohamed Hamdy Eid, Khaled Mohamed Khedher and Hekmat Ibrahim. Their work appears in journals such as Water, Applied Water Science, Journal of King Saud University - Science, Heliyon 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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