Majid Niazkar

1.7k citations
67 papers · 1.2k indexed · 1 hit paper · h-index 20
Topics
Hydrology and Watershed Management Studies (27 papers)Hydraulic flow and structures (20 papers)Hydrological Forecasting Using AI (17 papers)
Partner nations
IranItalyIndia

In The Last Decade

Majid Niazkar

63 papers receiving 1.1k citations

Hit Papers

Applications of XGBoost in water resources engineering: A...20242026202520244080120

Peers

Majid Niazkar
Comparison fields: 5 of 111
  • Water Science and Technology 428
  • Civil and Structural Engineering 333
  • Global and Planetary Change 307
  • Environmental Engineering 285
  • Ecology 166
Replace Reza Barati with:
Reza Barati Iran
Fanny Sarrazin Germany
Halil Karahan Türkiye
Seied Hosein Afzali Iran
Mohammad Javad Abedini Iran
Akpofure E. Taigbenu South Africa
Jiri Nossent Belgium
Nitheshnirmal Sãdhasivam India
Viet‐Ha Nhu Vietnam
Chunfeng Ma China
Majid Niazkar relative to Reza Barati Iran Reza Barati's profile →
Citations per field
00.5×
Reza Barati · 1×
Citations per year

Countries citing papers authored by Majid Niazkar

Since Specialization
Citations

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

Fields of papers citing papers by Majid Niazkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Niazkar

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Niazkar. A scholar is included among the top collaborators of Majid Niazkar 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 Majid Niazkar. Majid Niazkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 4
4 4
5 2
6 12
7 29
8 0
9 12
10 14
11 17
12 47
13 16
14 13
15 15
16 9
17 49
18 18
19 68
20
Relationship between Hazen-William coefficient and Colebrook-White friction factor: application in water network analysis.
13

About Majid Niazkar

Majid Niazkar is a scholar working on Water Science and Technology, Environmental Engineering and Civil and Structural Engineering, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (27 papers), Hydraulic flow and structures (20 papers) and Hydrological Forecasting Using AI (17 papers). The work is most often cited by research in Water Science and Technology (428 citations), Environmental Engineering (285 citations) and Modeling and Simulation (89 citations). Majid Niazkar has collaborated with scholars based in Iran, Italy and India. Frequent co-authors include Seied Hosein Afzali, Hamid Reza Niazkar, Reza Piraei, Mohammad Zakwan, Mohammad Reza Goodarzi, Nasser Talebbeydokhti, Andrea Menapace, Maurizio Righetti, Bruno Brentan and Gholamreza Rakhshandehroo. Their work appears in journals such as The Science of The Total Environment, Scientific Reports 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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