Hekmat Ibrahim
- Water Science and Technology top 5%
- Environmental Engineering top 5%
- Geochemistry and Petrology top 2%
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Co-authors
- Mohamed GadSalah ElsayedMohamed Hamdy EidOsama ElsherbinyAissam GaagaiHend HusseinPéter SzűcsMoataz M. Khalifa
- Topics
- Groundwater and Isotope Geochemistry (7 papers)Water Quality and Pollution Assessment (7 papers)Groundwater and Watershed Analysis (6 papers)
In The Last Decade
Hekmat Ibrahim
9 papers receiving 435 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Water Science and Technology 284
- Environmental Engineering 268
- Geochemistry and Petrology 212
- Artificial Intelligence 71
- Industrial and Manufacturing Engineering 45
Countries citing papers authored by Hekmat Ibrahim
This map shows the geographic impact of Hekmat Ibrahim'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 Hekmat Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hekmat Ibrahim more than expected).
Fields of papers citing papers by Hekmat Ibrahim
This network shows the impact of papers produced by Hekmat Ibrahim. 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 Hekmat Ibrahim. The network helps show where Hekmat Ibrahim may publish in the future.
Co-authorship network of co-authors of Hekmat Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Hekmat Ibrahim. A scholar is included among the top collaborators of Hekmat Ibrahim 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 Hekmat Ibrahim. Hekmat Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 2 | |
| 3 | Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Studybreakdown → | 107 |
| 4 | 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, Algeriabreakdown → | 105 |
| 5 | 54 | |
| 6 | 68 | |
| 7 | 5 | |
| 8 | 56 | |
| 9 | 24 |
About Hekmat Ibrahim
Hekmat Ibrahim is a scholar working on Geochemistry and Petrology, Water Science and Technology and Environmental Engineering, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (7 papers), Water Quality and Pollution Assessment (7 papers) and Groundwater and Watershed Analysis (6 papers). The work is most often cited by research in Geochemistry and Petrology (212 citations), Water Science and Technology (284 citations) and Environmental Engineering (268 citations). Hekmat Ibrahim has collaborated with scholars based in Egypt, Hungary and Algeria. Frequent co-authors include Mohamed Gad, Salah Elsayed, Mohamed Hamdy Eid, Osama Elsherbiny, Aissam Gaagai, Hend Hussein, Péter Szűcs, Moataz M. Khalifa, Mosaad Khadr and Farahat S. Moghanm. Their work appears in journals such as Water, Environmental Earth Sciences and Heliyon.
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.