Immediate Impact
1 from Science/Nature 50 standout
Citing Papers
Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis
2025 Standout
Adsorptive removal of toxic heavy metals from aquatic environment by metal organic framework (MOF): A review
2025 Standout
Works of Maryam Paydar being referenced
Spatial distribution, occurrence, and health risk assessment of nitrate, fluoride, and arsenic in Bam groundwater resource, Iran
2020
Heavy metals exposure, carcinogenic and non-carcinogenic human health risks assessment of groundwater around mines in Joghatai, Iran
2020
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Maryam Paydar | 192 | 146 | 93 | 139 | 11 | 363 | |
| Renato I. S. Alves | 134 | 212 | 138 | 35 | 9 | 342 | |
| Ashutosh Gautam | 184 | 139 | 46 | 113 | 16 | 310 | |
| Carolina Sampaio Machado | 139 | 211 | 106 | 34 | 18 | 341 | |
| Wan Ying Lim | 169 | 248 | 86 | 87 | 9 | 349 | |
| Gordana Dević | 156 | 203 | 72 | 149 | 22 | 405 | |
| P. N. Obasi | 145 | 150 | 69 | 93 | 19 | 411 | |
| Jamil Siddique | 205 | 96 | 52 | 117 | 15 | 383 | |
| Zejia Hao | 202 | 161 | 75 | 105 | 7 | 349 | |
| Bernadette Uche Ukah | 208 | 175 | 52 | 125 | 9 | 363 | |
| Guanghong Wu | 119 | 238 | 123 | 66 | 19 | 386 |
All Works
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