Elham Fijani
- Geochemistry and Petrology top 1%
- Groundwater and Isotope Geochemistry 12
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI 6
- Groundwater and Watershed Analysis 5
- Groundwater flow and contamination studies 4
- Water Science and Technology top 2%
- Fluoride Effects and Removal 3
- Hydrology and Watershed Management Studies 2
- Global and Planetary Change top 10%
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- Machine Learning and ELM 3
- Geochemistry and Geologic Mapping 3
Elham Fijani
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Geochemistry and Petrology 392
- Environmental Engineering 724
- Water Science and Technology 538
- Global and Planetary Change 166
- Industrial and Manufacturing Engineering 66
Countries citing papers authored by Elham Fijani
This map shows the geographic impact of Elham Fijani'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 Elham Fijani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elham Fijani more than expected).
Fields of papers citing papers by Elham Fijani
This network shows the impact of papers produced by Elham Fijani. 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 Elham Fijani. The network helps show where Elham Fijani may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Elham Fijani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 4 | |
| 6 | 2019 | 58 | |
| 7 | Evaluation of Effective Processes on Groundwater Quality of Meshgin-Shahr Plain by Integration of Geochemical and Statistical Methods | 2018 | 1 |
| 8 | 2018 | 147 | |
| 9 | 2017 | 161 | |
| 10 | 2017 | 174 | |
| 11 | 2017 | 83 | |
| 12 | 2016 | 45 | |
| 13 | 2016 | 88 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 | |
| 16 | Optimization of DRASTIC method by supervised committee machine artificial intelligence for groundwater vulnerability assessment in Maragheh-Bonab plain aquifer, Iran. | 2013 | 0 |
| 17 | Hierarchical Bayesian Model Averaging for Non-Uniqueness and Uncertainty Analysis of Artificial Neural Networks | 2012 | 1 |
| 18 | 2009 | 14 | |
| 19 | SPATIAL PREDICTION OF FLUORIDE CONCENTRATION USING ARTIFICIAL NEURAL NETWORKS AND GEOSTATIC MODELS | 2009 | 5 |
| 20 | 2008 | 4 |
About Elham Fijani
Elham Fijani is a scholar working on Geochemistry and Petrology, Environmental Engineering and Water Science and Technology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (12 papers), Hydrological Forecasting Using AI (6 papers), Groundwater and Watershed Analysis (5 papers), Groundwater flow and contamination studies (4 papers), Machine Learning and ELM (3 papers), Geochemistry and Geologic Mapping (3 papers), Fluoride Effects and Removal (3 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Geochemistry and Petrology (392 citations), Environmental Engineering (724 citations) and Water Science and Technology (538 citations). Elham Fijani has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Asghar Asghari Moghaddam, Rahim Barzegar, Evangelos Tziritis, Ravinesh C. Deo, Frank T.‐C. Tsai, Ata Allah Nadiri, Jan Adamowski, Konstantinos Skordas, Barnali Dixon and Gökmen Tayfur.
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.