Mohamed Gad
- Water Science and Technology top 1%
- Environmental Engineering top 1%
- Geochemistry and Petrology top 0.5%
- Artificial Intelligence top 5%
- Pollution top 5%
- Co-authors
- Salah ElsayedHend HusseinMaged El OstaFarahat S. MoghanmMohamed FaroukMilad MasoudAbdulaziz AlqarawyMohamed Hamdy Eid
- Topics
- Water Quality and Pollution Assessment (27 papers)Groundwater and Isotope Geochemistry (26 papers)Groundwater and Watershed Analysis (21 papers)
- Partner nations
- EgyptSaudi ArabiaHungary
In The Last Decade
Mohamed Gad
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Water Science and Technology 993
- Environmental Engineering 933
- Geochemistry and Petrology 787
- Artificial Intelligence 221
- Pollution 160
Countries citing papers authored by Mohamed Gad
This map shows the geographic impact of Mohamed Gad'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 Mohamed Gad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Gad more than expected).
Fields of papers citing papers by Mohamed Gad
This network shows the impact of papers produced by Mohamed Gad. 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 Mohamed Gad. The network helps show where Mohamed Gad may publish in the future.
Co-authorship network of co-authors of Mohamed Gad
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Gad. A scholar is included among the top collaborators of Mohamed Gad 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 Mohamed Gad. Mohamed Gad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 33 | |
| 5 | 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 |
| 6 | 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 |
| 7 | 79 | |
| 8 | 54 | |
| 9 | 47 | |
| 10 | 55 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 79 | |
| 14 | 36 | |
| 15 | 108 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 13 |
About Mohamed Gad
Mohamed Gad is a scholar working on Geochemistry and Petrology, Environmental Engineering and Water Science and Technology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Water Quality and Pollution Assessment (27 papers), Groundwater and Isotope Geochemistry (26 papers) and Groundwater and Watershed Analysis (21 papers). The work is most often cited by research in Geochemistry and Petrology (787 citations), Water Science and Technology (993 citations) and Environmental Engineering (933 citations). Mohamed Gad has collaborated with scholars based in Egypt, Saudi Arabia and Hungary. Frequent co-authors include Salah Elsayed, Hend Hussein, Maged El Osta, Farahat S. Moghanm, Mohamed Farouk, Milad Masoud, Abdulaziz Alqarawy, Mohamed Hamdy Eid, Ali Saleh and Hekmat Ibrahim. Their work appears in journals such as Scientific Reports, Sustainability and Precambrian Research.
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.