Masoud Karbasi
Impact in
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 25
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- Plant Water Relations and Carbon Dynamics 12
- Hydrology and Drought Analysis 9
- Co-authors
- Mehdi Jamei (60 shared papers)Anurag Malik (23 shared papers)Zaher Mundher Yaseen (29 shared papers)Iman Ahmadianfar (14 shared papers)Mumtaz Ali (28 shared papers)Hazi Mohammad Azamathulla (4 shared papers)Amin Asadi (6 shared papers)Ismail Adewale Olumegbon (5 shared papers)
In The Last Decade
Masoud Karbasi
89 papers receiving 2.3k citations
Masoud Karbasi's Hit Papers
Peers
Comparison fields: 5 of 122
- Environmental Engineering 744
- Water Science and Technology 436
- Global and Planetary Change 492
- Civil and Structural Engineering 465
- Soil Science 144
Countries citing papers authored by Masoud Karbasi
This map shows the geographic impact of Masoud Karbasi'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 Masoud Karbasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Karbasi more than expected).
Fields of papers citing papers by Masoud Karbasi
This network shows the impact of papers produced by Masoud Karbasi. 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 Masoud Karbasi. The network helps show where Masoud Karbasi may publish in the future.
Co-authors
The 25 scholars most cited alongside Masoud Karbasi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2017 | 79 | |
| 3 | 2021 | 76 | |
| 4 | 2017 | 73 | |
| 5 | 2021 | 69 | |
| 6 | 2022 | 62 | |
| 7 | 2021 | 61 | |
| 8 | 2021 | 60 | |
| 9 | 2019 | 60 | |
| 10 | 1998 | 59 | |
| 11 | 2021 | 58 | |
| 12 | 2022 | 52 | |
| 13 | 2012 | 50 | |
| 14 | 2021 | 50 | |
| 15 | 2021 | 49 | |
| 16 | 2021 | 48 | |
| 17 | 2023 | 48 | |
| 18 | 2016 | 47 | |
| 19 | 2022 | 47 | |
| 20 | 2018 | 46 |
About Masoud Karbasi
Masoud Karbasi is a scholar working on Environmental Engineering, Global and Planetary Change, Civil and Structural Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (25 papers), Plant Water Relations and Carbon Dynamics (12 papers), Nanofluid Flow and Heat Transfer (11 papers), Hydrology and Sediment Transport Processes (11 papers), Hydrology and Watershed Management Studies (11 papers), Energy Load and Power Forecasting (10 papers), Hydraulic flow and structures (9 papers) and Hydrology and Drought Analysis (9 papers). The work is most often cited by research in Environmental Engineering (744 citations), Water Science and Technology (436 citations), Global and Planetary Change (492 citations), Civil and Structural Engineering (465 citations) and Soil Science (144 citations). Masoud Karbasi has collaborated with scholars based in Iran, Australia and Canada. Frequent co-authors include Mehdi Jamei, Anurag Malik, Zaher Mundher Yaseen, Iman Ahmadianfar, Mumtaz Ali, Hazi Mohammad Azamathulla, Amin Asadi, Ismail Adewale Olumegbon, Aitazaz A. Farooque and Manish Pandey. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Hydrology, Agricultural Water Management, Water Resources Management and Scientific Reports.
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.