Hamidreza Eivazi

906 citations
18 papers · 547 indexed · 1 hit paper · h-index 10

Hamidreza Eivazi

16 papers receiving 531 citations

Hit Papers

Physics-informed neural networks for solving Reynolds-ave...265202220262023202450100150200250

Peers

Hamidreza Eivazi
Comparison fields: 5 of 77
  • Statistical and Nonlinear Physics 340
  • Computational Mechanics 302
  • Aerospace Engineering 163
  • Statistics, Probability and Uncertainty 27
  • Environmental Engineering 39
Replace Luca Guastoni with:
Luca Guastoni Sweden
Harshal D. Akolekar Australia
Brendan Tracey United States
Qinghua Jiang Singapore
Zhiwen Deng China
Nicholas Geneva United States
Eric Parish United States
Jonathan Viquerat France
Linyang Zhu China
Yiyang Sun United States
Hamidreza Eivazi relative to Luca Guastoni Sweden Luca Guastoni's profile →
Citations per field
00.5×1.5×2.3×
Luca Guastoni · 1×
Citations per year

Countries citing papers authored by Hamidreza Eivazi

Since Specialization
Citations

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

Fields of papers citing papers by Hamidreza Eivazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Hamidreza Eivazi, 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 Hamidreza Eivazi Line = papers co-authored together Hamidreza Eivazi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20250
2 202431
3 20239
4 20232
5 20230
6 202320
7 20236
8 202323
9 202288
10 202217
11 202229
12
Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equationsbreakdown →
2022265
13 20223
14 20223
15 20209
16 20206
17 201928
18 20178

About Hamidreza Eivazi

Hamidreza Eivazi is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering, having authored 18 papers that have together received 547 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (8 papers), Fluid Dynamics and Vibration Analysis (3 papers), Composite Material Mechanics (3 papers), Nuclear Engineering Thermal-Hydraulics (2 papers), Combustion and flame dynamics (2 papers), Aerospace and Aviation Technology (2 papers) and Numerical methods in engineering (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (340 citations), Computational Mechanics (302 citations) and Aerospace Engineering (163 citations). Hamidreza Eivazi has collaborated with scholars based in Sweden, Iran and Germany. Frequent co-authors include Ricardo Vinuesa, Mojtaba Tahani, Philipp Schlatter, Sergio Hoyas, Soledad Le Clainche, Yuning Wang, Vahid Esfahanian, Christoph Egbers, Mehran Masdari and Francesco Fuso Nerini. Their work appears in journals such as Journal of Cleaner Production, Expert Systems with Applications and Physics of Fluids.

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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