Majid Bagheri

2.9k citations
37 papers · 2.2k indexed · 1 hit paper · h-index 22

Majid Bagheri

33 papers receiving 2.2k citations

Hit Papers

Machine Learning: New Ideas and Tools in Environmental Sc...20212026202220242021200400600

Peers

Majid Bagheri
Comparison fields: 5 of 135
  • Water Science and Technology 880
  • Industrial and Manufacturing Engineering 469
  • Environmental Engineering 433
  • Pollution 399
  • Biomedical Engineering 346
Replace Harsha Ratnaweera with:
Harsha Ratnaweera Norway
Xueling Wu China
Dongsheng Wang China
Qian Feng China
Shifa Zhong United States
Patryk Kot United Kingdom
Seyed Ahmad Mirbagheri Iran
K. Daniel United States
Spyros Foteinis United Kingdom
Majid Bagheri relative to Harsha Ratnaweera Norway Harsha Ratnaweera's profile →
Citations per field
00.5×1.6×
Harsha Ratnaweera · 1×
Citations per year

Countries citing papers authored by Majid Bagheri

Since Specialization
Citations

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

Fields of papers citing papers by Majid Bagheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Bagheri

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Bagheri. A scholar is included among the top collaborators of Majid Bagheri 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 Bagheri. Majid Bagheri 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 0
2 3
3 6
4 1
5
Lithological Mapping and Identification of Argillic and Propylitic Alteration Zones at Anjerd Volcanic Terrain
0
6 115
7 21
8
Machine Learning: New Ideas and Tools in Environmental Science and Engineeringbreakdown →
725
9 32
10 56
11 8
12 56
13 50
14 195
15 60
16 32
17 25
18 80
19 10
20
Influence of treated wastewater and irrigation systems on soil physical properties in Isfahan province.
1

About Majid Bagheri

Majid Bagheri is a scholar working on Water Science and Technology, Pollution and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (12 papers), Membrane Separation Technologies (9 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). The work is most often cited by research in Water Science and Technology (880 citations), Industrial and Manufacturing Engineering (469 citations) and Pollution (399 citations). Majid Bagheri has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Sayed Ahmad Mirbagheri, Joel G. Burken, Zahra Bagheri, Ali Akbari, Majid Ehteshami, Seyed Ahmad Mirbagheri, Mostafa Khodakarami, Xingmao Ma, Wei Shi and Haoyue Tan. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

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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