Narjes Nabipour

3.6k citations
57 papers · 2.7k indexed · 2 hit papers · h-index 29

Narjes Nabipour

55 papers receiving 2.7k citations

Hit Papers

Artificial neural networks training algorithm integrating...219201920262021202350100150200250

Peers

Narjes Nabipour
Comparison fields: 5 of 146
  • Environmental Engineering 681
  • Water Science and Technology 648
  • Global and Planetary Change 746
  • Geochemistry and Petrology 105
  • Health Information Management 64
Replace Upaka Rathnayake with:
Upaka Rathnayake Sri Lanka
Amirhosein Mosavi Iran
Chow Ming Fai Malaysia
Hiep Van Le Vietnam
Saeed Samadianfard Iran
Farzaneh Sajedi Hosseini Iran
Wenzhi Zeng China
Sinan Q. Salih Vietnam
Xuefeng Chu United States
Fatemeh Rezaie South Korea
Narjes Nabipour relative to Upaka Rathnayake Sri Lanka Upaka Rathnayake's profile →
Citations per field
00.5×8.2×
Upaka Rathnayake · 1×
Citations per year

Countries citing papers authored by Narjes Nabipour

Since Specialization
Citations

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

Fields of papers citing papers by Narjes Nabipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202041
2 202086
3 202038
4 20208
5 202015
6 2020111
7 20202
8 202047
9 202014
10 2020246
11 2020108
12 202038
13 202026
14 202066
15 202026
16 20193
17 201945
18 2019149
19 201949
20
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection methodbreakdown →
2019279

About Narjes Nabipour

Narjes Nabipour is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 57 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (7 papers), Nanofluid Flow and Heat Transfer (5 papers), Hydrology and Watershed Management Studies (5 papers), Hydrology and Drought Analysis (4 papers), Phase Equilibria and Thermodynamics (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Heat Transfer Mechanisms (3 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Environmental Engineering (681 citations), Water Science and Technology (648 citations) and Global and Planetary Change (746 citations). Narjes Nabipour has collaborated with scholars based in Vietnam, Iran and Hungary. Frequent co-authors include Amir Mosavi, Shahaboddin Shamshirband, Kwok‐wing Chau, Bahram Choubin, Saeed Samadianfard, Esmaeil Asadi, Hamid Darabi, Farzaneh Sajedi Hosseini, Ali Torabi Haghighi and Katayoun Kargar. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Construction and Building 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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