Majid Mirzaei

1.1k citations
47 papers · 823 indexed · 1 hit paper · h-index 18

Majid Mirzaei

44 papers receiving 810 citations

Hit Papers

Comparative evaluation of LSTM, CNN, and ConvLSTM for hou...972023202620242025255075

Peers

Majid Mirzaei
Comparison fields: 5 of 86
  • Water Science and Technology 415
  • Global and Planetary Change 526
  • Environmental Engineering 329
  • Atmospheric Science 137
  • Soil Science 40
Replace S. Samadi with:
S. Samadi United States
Okan Mert Katipoğlu Türkiye
Xiaoyan He China
Farshad Fathian Iran
Thomas Lees United Kingdom
Jing Lin Ng Malaysia
Keivan Khalili Iran
Pouya Aghelpour Iran
Hirad Abghari Iran
Hamouda Boutaghane Algeria
Majid Mirzaei relative to S. Samadi United States S. Samadi's profile →
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Citations per year

Countries citing papers authored by Majid Mirzaei

Since Specialization
Citations

This map shows the geographic impact of Majid Mirzaei'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 Majid Mirzaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Mirzaei more than expected).

Fields of papers citing papers by Majid Mirzaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Majid Mirzaei. 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 Majid Mirzaei. The network helps show where Majid Mirzaei may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Majid Mirzaei, 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 Majid Mirzaei Line = papers co-authored together Majid Mirzaei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20255
3 20250
4 20247
5 202318
6 202315
7 20238
8 20238
9
Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approachesbreakdown →
202397
10 202213
11 20204
12 202024
13 201729
14 20160
15 201559
16 201317
17
EFFECT OF DEFICIT IRRIGATION LEVELS AT FOUR GROWTH STAGES ON YIELD AND QUALITY OF SUGAR BEET
20122
18 20127
19 20118
20
Evaluation of Evapotranspiration Coefficient and Daily Crop Reference Evapotranspiration in a Semi-Arid Region Based on Field Water Balance and Fao Method
20114

About Majid Mirzaei

Majid Mirzaei is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering, having authored 47 papers that have together received 823 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (19 papers), Hydrology and Drought Analysis (19 papers), Flood Risk Assessment and Management (18 papers), Hydrological Forecasting Using AI (12 papers), Climate variability and models (10 papers), Precipitation Measurement and Analysis (7 papers), Water resources management and optimization (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Water Science and Technology (415 citations), Global and Planetary Change (526 citations) and Environmental Engineering (329 citations). Majid Mirzaei has collaborated with scholars based in Malaysia, United States and Iran. Frequent co-authors include Yuk Feng Huang, Hadi Galavi, Ahmed El‐Shafie, Jing Lin Ng, Juneseok Lee, Amin Dehghani, Chai Hoon Koo, Mohd Zaki Mat Amin, Md Rowshon Kamal and Jan Adamowski. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Sustainability.

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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