Foad Nazari

814 total citations
16 papers, 685 citations indexed

About

Foad Nazari is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Foad Nazari has authored 16 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 7 papers in Mechanics of Materials and 5 papers in Control and Systems Engineering. Recurrent topics in Foad Nazari's work include Structural Health Monitoring Techniques (8 papers), Machine Fault Diagnosis Techniques (4 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Foad Nazari is often cited by papers focused on Structural Health Monitoring Techniques (8 papers), Machine Fault Diagnosis Techniques (4 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Foad Nazari collaborates with scholars based in Iran, United States and China. Foad Nazari's co-authors include Mohammad Hossein Abolbashari, Mohammad Mehdi Rashidi, Navid Freidoonimehr, C. Nataraj, Hossein Hosseiny, Virginia Smith, Hossein Bonakdari, Seyed Mahmoud Hosseini, Shohel Mahmud and Mohammad Ali Afshar Kazemi and has published in prestigious journals such as Scientific Reports, Journal of Sound and Vibration and Powder Technology.

In The Last Decade

Foad Nazari

15 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Foad Nazari Iran 9 498 432 363 73 60 16 685
Yanhua Yang China 16 419 0.8× 216 0.5× 663 1.8× 71 1.0× 23 0.4× 62 1.0k
Sadek Z. Kassab Egypt 16 226 0.5× 331 0.8× 363 1.0× 15 0.2× 51 0.8× 51 821
Vesselina Roussinova Canada 19 219 0.4× 190 0.4× 459 1.3× 20 0.3× 142 2.4× 39 702
Saeed Salehi Sweden 14 506 1.0× 559 1.3× 333 0.9× 16 0.2× 196 3.3× 38 939
Liejin Guo China 17 441 0.9× 345 0.8× 188 0.5× 7 0.1× 47 0.8× 43 777
Peyman Zahedi United States 12 249 0.5× 306 0.7× 332 0.9× 7 0.1× 36 0.6× 22 766
P.W. James United Kingdom 11 102 0.2× 107 0.2× 341 0.9× 22 0.3× 32 0.5× 32 605
M.R. Malin United Kingdom 13 106 0.2× 155 0.4× 389 1.1× 53 0.7× 30 0.5× 35 694
Mohammadreza Kadivar Ireland 10 84 0.2× 305 0.7× 189 0.5× 22 0.3× 14 0.2× 21 524
Mohamed Si–Ameur Algeria 12 107 0.2× 202 0.5× 217 0.6× 11 0.2× 22 0.4× 50 784

Countries citing papers authored by Foad Nazari

Since Specialization
Citations

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

Fields of papers citing papers by Foad Nazari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Foad Nazari

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

All Works

16 of 16 papers shown
1.
Nazari, Foad, et al.. (2025). Lossless and reference-free compression of FASTQ/A files using GeneSqueeze. Scientific Reports. 15(1). 322–322. 1 indexed citations
2.
Nazari, Foad, et al.. (2022). Adaptive modeling of vibrations and structural fatigue for analyzing crack propagation in a rotating system. Journal of Sound and Vibration. 541. 117276–117276. 11 indexed citations
3.
Hosseiny, Hossein, Foad Nazari, Virginia Smith, & C. Nataraj. (2020). A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning. Scientific Reports. 10(1). 8222–8222. 88 indexed citations
4.
Nazari, Foad, et al.. (2020). Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics. 1–6. 8 indexed citations
5.
Nazari, Foad, et al.. (2020). On Modeling of Vibration and Crack Growth in a Rotor for Prognostics. Annual Conference of the PHM Society. 12(1). 9–9.
6.
Nazari, Foad, Seyed Mahmoud Hosseini, & Mohammad Hossein Abolbashari. (2019). Active tuning and maximization of natural frequency in three-dimensional functionally graded shape memory alloy composite structures using meshless local Petrov–Galerkin method. Journal of Vibration and Control. 25(15). 2093–2107. 6 indexed citations
7.
Nazari, Foad, et al.. (2019). A Review of Phase Space Topology Methods for Vibration-Based Fault Diagnostics in Nonlinear Systems. Journal of Vibration Engineering & Technologies. 8(3). 393–401. 11 indexed citations
8.
Nazari, Foad, Mohammad Hossein Abolbashari, & Seyed Mahmoud Hosseini. (2015). Three Dimensional Natural Frequency Analysis of Sandwich Plates with Functionally Graded Core Using Hybrid Meshless Local Petrov-Galerkin Method and Artificial Neural Network. Computer Modeling in Engineering & Sciences. 105(4). 271–299. 5 indexed citations
9.
Abolbashari, Mohammad Hossein, Navid Freidoonimehr, Foad Nazari, & Mohammad Mehdi Rashidi. (2015). Analytical modeling of entropy generation for Casson nano-fluid flow induced by a stretching surface. Advanced Powder Technology. 26(2). 542–552. 245 indexed citations
10.
Abolbashari, Mohammad Hossein, et al.. (2014). A multi-crack effects analysis and crack identification in functionally graded beams using particle swarm optimization algorithm and artificial neural network. STRUCTURAL ENGINEERING AND MECHANICS. 51(2). 299–313. 7 indexed citations
11.
Abolbashari, Mohammad Hossein, Navid Freidoonimehr, Foad Nazari, & Mohammad Mehdi Rashidi. (2014). Entropy analysis for an unsteady MHD flow past a stretching permeable surface in nano-fluid. Powder Technology. 267. 256–267. 253 indexed citations
12.
Freidoonimehr, Navid, Mohammad Mehdi Rashidi, Shohel Mahmud, & Foad Nazari. (2014). Slip Effects on MHD Stagnation Point-flow and Heat Transfer over a Porous Rotating Disk. Physical Science International Journal. 5(1). 34–50. 8 indexed citations
13.
Nazari, Foad & Mohammad Hossein Abolbashari. (2013). DOUBLE CRACKS IDENTIFICATION IN FUNCTIONALLY GRADED BEAMS USING ARTIFICIAL NEURAL NETWORK. Journal of solid mechanics.. 5(1). 14–21. 2 indexed citations
14.
Bonakdari, Hossein, et al.. (2012). Closed-Form Solution for Flow Field in Curved Channels in Comparison with Experimental and Numerical Analyses and Artificial Neural Network. Engineering Applications of Computational Fluid Mechanics. 6(4). 514–526. 30 indexed citations
15.
Nazari, Foad, et al.. (2012). Applying artificial neural network and wavelet analysis for multiple cracks identification in beams. International Journal of Vehicle Noise and Vibration. 8(1). 51–51. 2 indexed citations
16.
Kazemi, Mohammad Ali Afshar, et al.. (2011). Detection of multiple cracks in beams using particle swarm optimization and artificial neural network. 14. 1–5. 8 indexed citations

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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