Masoud Karbasi

88 papers receiving 2.5k citations

Masoud Karbasi's Hit Papers

Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms 2025 · 39 citations
390Years since publication102030

Peers

Masoud Karbasi
Comparison fields: 5 of 121
  • Environmental Engineering 770
  • Water Science and Technology 442
  • Global and Planetary Change 512
  • Civil and Structural Engineering 470
  • Soil Science 147
Replace Mehdi Jamei with:
Mehdi Jamei Iran
Prabhata K. Swamee India
Mohamed El Baghdadi Belgium
Wenming Zhang China
Xiaolei Zhang China
Debasmita Misra United States
Ming Peng China
Beşi̇r Şahi̇n Türkiye
Matthias Beyer Germany
Muk Chen Ong Norway
Masoud Karbasi relative to Mehdi Jamei Iran Mehdi Jamei's profile →
Citations per field
00.5×10×12.8×
Mehdi Jamei · 1×
Citations per year

Countries citing papers authored by Masoud Karbasi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Masoud Karbasi Line = papers co-authored together Masoud Karbasi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202099
2 201783
3 202176
4 201774
5 202172
6 202267
7 199863
8 202161
9 201960
10 202160
11 202158
12 202256
13 202152
14 202252
15 202151
16 201251
17 202350
18 202150
19 201649
20 202149

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 2.5k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (25 papers), Plant Water Relations and Carbon Dynamics (13 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 (770 citations), Water Science and Technology (442 citations), Global and Planetary Change (512 citations), Civil and Structural Engineering (470 citations) and Soil Science (147 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 Journal of Hydrology, Agricultural Water Management, Computers and Electronics in Agriculture, Water Resources Management and Engineering Applications of Artificial Intelligence.

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.

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