Mohamed Gad
About
Mohamed Gad is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology.
According to data from OpenAlex, Mohamed Gad has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 28 papers in Water Science and Technology and 26 papers in Geochemistry and Petrology. Recurrent topics in Mohamed Gad's work include Water Quality and Pollution Assessment (27 papers), Groundwater and Isotope Geochemistry (26 papers) and Groundwater and Watershed Analysis (21 papers). Mohamed Gad is often cited by papers focused on Water Quality and Pollution Assessment (27 papers), Groundwater and Isotope Geochemistry (26 papers) and Groundwater and Watershed Analysis (21 papers). Mohamed Gad collaborates with scholars based in Egypt, Saudi Arabia and Hungary. Mohamed Gad's 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 and has published in prestigious journals such as Scientific Reports, Sustainability and Precambrian Research.
In The Last Decade
Mohamed Gad
50 papers receiving 1.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mohamed Gad Egypt | 24 | 993 | 933 | 787 | 221 | 160 | 51 | 1.6k | ||
| Yong Xiao China | 26 | 896 0.9× | 925 1.0× | 1.3k 1.7× | 240 1.1× | 94 0.6× | 100 | 1.9k | ||
| Vahab Amiri Iran | 21 | 738 0.7× | 625 0.7× | 856 1.1× | 212 1.0× | 184 1.1× | 31 | 1.3k | ||
| C. Singaraja India | 26 | 832 0.8× | 767 0.8× | 1.1k 1.3× | 242 1.1× | 205 1.3× | 35 | 1.5k | ||
| Sandow Mark Yidana Ghana | 25 | 1.1k 1.1× | 1.4k 1.5× | 1.5k 1.9× | 370 1.7× | 151 0.9× | 81 | 2.2k | ||
| Vetrimurugan Elumalai South Africa | 20 | 955 1.0× | 644 0.7× | 997 1.3× | 234 1.1× | 309 1.9× | 56 | 1.7k | ||
| Ratnakar Dhakate India | 25 | 729 0.7× | 788 0.8× | 911 1.2× | 227 1.0× | 260 1.6× | 60 | 1.6k | ||
| D. B. Panaskar India | 18 | 1000 1.0× | 824 0.9× | 885 1.1× | 193 0.9× | 166 1.0× | 25 | 1.4k | ||
| Sang Yong Chung South Korea | 21 | 573 0.6× | 589 0.6× | 534 0.7× | 167 0.8× | 248 1.6× | 47 | 1.2k | ||
| Jiutan Liu China | 22 | 822 0.8× | 667 0.7× | 1.1k 1.4× | 213 1.0× | 215 1.3× | 68 | 1.5k |
Countries citing papers authored by Mohamed Gad
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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
1.
Gad, Mohamed, Ibrahim Mousa, Aissam Gaagai, et al.. (2025). New approach to predict wastewater quality for irrigation utilizing integrated indexical approaches and hyperspectral reflectance measurements supported with multivariate analysis. Scientific Reports. 15(1). 16395–16395.
2.
Elsayed, Salah, Aissam Gaagai, Hani Amir Aouissi, et al.. (2025). Aquatic system assessment of potentially toxic elements in El Manzala Lake, Egypt: A statistical and machine learning approach. Results in Engineering. 26. 105027–105027.
3.
Gad, Mohamed, Péter Szűcs, Mohamed Hamdy Eid, et al.. (2024). The impact of Oligo-Miocene basaltic intrusions on the petroleum system in Gulf of Suez rift basin, Egypt: new insights into thermal maturity and reservoir quality. Frontiers in Earth Science. 11.
4.
Gad, Mohamed, Aissam Gaagai, Mohamed Hamdy Eid, et al.. (2024). Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory study. Heliyon. 10(17). e36606–e36606.
5.
Ibrahim, Hekmat, Zaher Mundher Yaseen, Miklas Scholz, et al.. (2023). Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study. Water. 15(4). 694–694.
6.
Gaagai, Aissam, Hani Amir Aouissi, Gilbert Hinge, et al.. (2023). 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. Water. 15(2). 289–289.
7.
Eid, Mohamed Hamdy, Mohssen Elbagory, Mohamed Gad, et al.. (2023). Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria. Water. 15(1). 182–182.
8.
Gaagai, Aissam, Amor Ben Moussa, Kamel Zouari, et al.. (2023). Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia. Water. 15(19). 3495–3495.
9.
Eid, Mohamed Hamdy, Omar Saeed, András Székács, et al.. (2023). Integration of Geochemical Modeling, Multivariate Analysis, and Irrigation Indices for Assessing Groundwater Quality in the Al-Jawf Basin, Yemen. Water. 15(8). 1496–1496.
10.
Gad, Mohamed, Ali Saleh, Hend Hussein, Salah Elsayed, & Mohamed Farouk. (2023). Water Quality Evaluation and Prediction Using Irrigation Indices, Artificial Neural Networks, and Partial Least Square Regression Models for the Nile River, Egypt. Water. 15(12). 2244–2244.
11.
Elsayed, Salah, Meenu Gupta, Gopal Chaudhary, et al.. (2023). Interpretation the Influence of Hydrometeorological Variables on Soil Temperature Prediction Using the Potential of Deep Learning Model. 4(1). 55–77.
12.
Abdel‐Fattah, Mohamed I., et al.. (2023). Groundwater Quality Evaluation for the Limestone Aquifer Utilizing Hydrochemical Characteristics and Imitative Techniques, Eastern Nile Valley, Egypt. 2(3). 118–131.
13.
Masoud, Milad, Maged El Osta, Abdulaziz Alqarawy, Salah Elsayed, & Mohamed Gad. (2022). Evaluation of groundwater quality for agricultural under different conditions using water quality indices, partial least squares regression models, and GIS approaches. Applied Water Science. 12(10).
14.
Alqarawy, Abdulaziz, Maged El Osta, Milad Masoud, Salah Elsayed, & Mohamed Gad. (2022). Use of Hyperspectral Reflectance and Water Quality Indices to Assess Groundwater Quality for Drinking in Arid Regions, Saudi Arabia. Water. 14(15). 2311–2311.
15.
Osta, Maged El, Milad Masoud, Abdulaziz Alqarawy, Salah Elsayed, & Mohamed Gad. (2022). Groundwater Suitability for Drinking and Irrigation Using Water Quality Indices and Multivariate Modeling in Makkah Al-Mukarramah Province, Saudi Arabia. Water. 14(3). 483–483.
16.
Khadr, Mosaad, Mohamed Gad, Salah El-Hendawy, et al.. (2020). The Integration of Multivariate Statistical Approaches, Hyperspectral Reflectance, and Data-Driven Modeling for Assessing the Quality and Suitability of Groundwater for Irrigation. Water. 13(1). 35–35.
17.
Gad, Mohamed, et al.. (2017). Optimal Well Locations using Genetic Algorithm for Tushki Project, Western Desert, Egypt. 3(7). 1–18.
18.
Salem, Boshra, et al.. (2017). Conservation planning as an adaptive strategy for climate change and groundwater depletion in Wadi El Natrun, Egypt. Hydrogeology Journal. 26(3). 689–703.
19.
Gad, Mohamed, et al.. (2011). Optimal management for groundwater of Nubian aquifer in El Dakhla depression, Western Desert, Egypt. International Journal of Water Resources and Environmental Engineering. 3(14). 393–409.
20.
Gad, Mohamed, et al.. (2011). A multi-objective optimization approach to groundwater management using genetic algorithm. International Journal of Water Resources and Environmental Engineering. 3(7). 139–149.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Yong Xiao Breakdown of academic impact, for papers by Vahab Amiri Breakdown of academic impact, for papers by C. Singaraja Breakdown of academic impact, for papers by Sandow Mark Yidana Breakdown of academic impact, for papers by Vetrimurugan Elumalai Breakdown of academic impact, for papers by Ratnakar Dhakate Breakdown of academic impact, for papers by D. B. Panaskar Breakdown of academic impact, for papers by Sang Yong Chung Breakdown of academic impact, for papers by Jiutan Liu