Vahid Karimi
- Environmental Engineering top 2%
- Water Science and Technology top 5%
- Global and Planetary Change top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Mohammad Ali GhorbaniRavinesh C. DeoZaher Mundher YaseenRahman KhatibiMahsa Hasanpour KashaniSarita Gajbhiye MeshramChandrashekhar MeshramAli Danandeh Mehr
- Topics
- Hydrological Forecasting Using AI (10 papers)Hydrology and Watershed Management Studies (8 papers)Flood Risk Assessment and Management (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of HydrologyAtmospheric Environment
In The Last Decade
Vahid Karimi
20 papers receiving 796 citations
Peers
Comparison fields: 5 of 88
- Environmental Engineering 514
- Water Science and Technology 317
- Global and Planetary Change 266
- Electrical and Electronic Engineering 142
- Artificial Intelligence 102
Countries citing papers authored by Vahid Karimi
This map shows the geographic impact of Vahid Karimi'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 Vahid Karimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Karimi more than expected).
Fields of papers citing papers by Vahid Karimi
This network shows the impact of papers produced by Vahid Karimi. 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 Vahid Karimi. The network helps show where Vahid Karimi may publish in the future.
Co-authorship network of co-authors of Vahid Karimi
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Karimi. A scholar is included among the top collaborators of Vahid Karimi 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 Vahid Karimi. Vahid Karimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 97 | |
| 7 | 9 | |
| 8 | 45 | |
| 9 | 53 | |
| 10 | 57 | |
| 11 | 40 | |
| 12 | 95 | |
| 13 | 36 | |
| 14 | 64 | |
| 15 | 66 | |
| 16 | 110 | |
| 17 | 68 | |
| 18 | Sensitivity Analysis of the Effective Input Parameters upon the Ozone Concentration using Artificial Neural Networks | 0 |
| 19 | 10 | |
| 20 | COMPARISON OF PENMAN- MONTEITH FAO METHOD AND A CLASS PAN EVAPORATION WITH LYSIMETER MEASUREMENTS IN ESTIMATION OF RICE EVAPOTRANSPIRATION IN AMOL REGION | 3 |
About Vahid Karimi
Vahid Karimi is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 21 papers that have together received 808 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (10 papers), Hydrology and Watershed Management Studies (8 papers) and Flood Risk Assessment and Management (4 papers). The work is most often cited by research in Environmental Engineering (514 citations), Water Science and Technology (317 citations) and Global and Planetary Change (266 citations). Vahid Karimi has collaborated with scholars based in Iran, Türkiye and Vietnam. Frequent co-authors include Mohammad Ali Ghorbani, Ravinesh C. Deo, Zaher Mundher Yaseen, Mohammad Ali Ghorbani, Rahman Khatibi, Mahsa Hasanpour Kashani, Sarita Gajbhiye Meshram, Chandrashekhar Meshram, Ali Danandeh Mehr and Vahid Nourani. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Atmospheric Environment.
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.