Arash Noshadravan

940 total citations
39 papers, 670 citations indexed

About

Arash Noshadravan is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Arash Noshadravan has authored 39 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 12 papers in Civil and Structural Engineering and 12 papers in Environmental Engineering. Recurrent topics in Arash Noshadravan's work include Probabilistic and Robust Engineering Design (7 papers), Rock Mechanics and Modeling (7 papers) and Hydraulic Fracturing and Reservoir Analysis (7 papers). Arash Noshadravan is often cited by papers focused on Probabilistic and Robust Engineering Design (7 papers), Rock Mechanics and Modeling (7 papers) and Hydraulic Fracturing and Reservoir Analysis (7 papers). Arash Noshadravan collaborates with scholars based in United States, France and Portugal. Arash Noshadravan's co-authors include Jeremy Gregory, Randolph Kirchain, Amir H. Behzadan, Elsa Olivetti, Roger Ghanem, Johann Guilleminot, Christian Soize, Vahid Keshavarzzadeh, Fausto Freire and Sara Abedi and has published in prestigious journals such as Environmental Science & Technology, Journal of Cleaner Production and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Arash Noshadravan

37 papers receiving 650 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arash Noshadravan 249 211 100 95 80 39 670
Saleh Abu Dabous 562 2.3× 143 0.7× 62 0.6× 278 2.9× 121 1.5× 82 1.1k
Xiong Chen 777 3.1× 117 0.6× 118 1.2× 256 2.7× 63 0.8× 74 1.4k
Kuo‐Wei Liao 409 1.6× 71 0.3× 41 0.4× 47 0.5× 82 1.0× 52 690
I.U. Ekanayake 254 1.0× 140 0.7× 33 0.3× 110 1.2× 63 0.8× 20 725
Jia Fu 116 0.5× 112 0.5× 64 0.6× 147 1.5× 121 1.5× 60 1.2k
Seong‐Hoon Hwang 1.1k 4.4× 129 0.6× 75 0.8× 341 3.6× 145 1.8× 28 1.6k
Jie Ma 167 0.7× 103 0.5× 28 0.3× 172 1.8× 51 0.6× 58 725
Irina Stipanović 397 1.6× 48 0.2× 55 0.6× 102 1.1× 119 1.5× 64 717
Eslam Mohammed Abdelkader 457 1.8× 113 0.5× 57 0.6× 274 2.9× 135 1.7× 85 1.0k
Manh Duc Nguyen 381 1.5× 108 0.5× 59 0.6× 57 0.6× 66 0.8× 22 742

Countries citing papers authored by Arash Noshadravan

Since Specialization
Citations

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

Fields of papers citing papers by Arash Noshadravan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Noshadravan

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Noshadravan. A scholar is included among the top collaborators of Arash Noshadravan 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 Arash Noshadravan. Arash Noshadravan 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
1.
Noshadravan, Arash, et al.. (2025). Efficient reliability analysis for offshore wind turbines: Leveraging SVM and augmented oversampling technique. Structural Safety. 115. 102597–102597. 1 indexed citations
2.
Jian, Tao, et al.. (2025). Probabilistic digital twin for reliability-based maintenance optimization of offshore wind turbines. Renewable Energy. 256. 123777–123777. 1 indexed citations
3.
4.
Behzadan, Amir H., et al.. (2024). A post-hurricane building debris estimation workflow enabled by uncertainty-aware AI and crowdsourcing. International Journal of Disaster Risk Reduction. 112. 104785–104785. 1 indexed citations
5.
Noshadravan, Arash, et al.. (2024). Enhancing post-hurricane regional loss assessment with crowdsourcing: A probabilistic inference approach. International Journal of Disaster Risk Reduction. 107. 104456–104456. 1 indexed citations
6.
Noshadravan, Arash, et al.. (2023). Estimating mode II fracture energy of rocks using the scratch test and phase field modeling. Acta Geotechnica. 19(6). 3751–3767. 3 indexed citations
7.
Prakash, Ravi, et al.. (2022). Chemical reactions of carbonate-rich mudstones with aqueous CO2 and their impacts on rock's local microstructural and chemo-mechanical properties. Journal of Natural Gas Science and Engineering. 103. 104587–104587. 6 indexed citations
8.
9.
Noshadravan, Arash, et al.. (2020). Probabilistic Hurricane Wind-Induced Loss Model for Risk Assessment on a Regional Scale. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 6(2). 16 indexed citations
10.
Noshadravan, Arash, et al.. (2020). A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete. Computers & Structures. 237. 106272–106272. 13 indexed citations
11.
Prakash, R., et al.. (2019). Chemo-Mechanical Investigation of CO 2 -Fluid-Rock Interaction in CO 2 Storage and CO 2 -EOR Processes in Unconventional Reservoirs. 53rd U.S. Rock Mechanics/Geomechanics Symposium. 4 indexed citations
12.
Abedi, Sara, et al.. (2018). Multiscale Modelling of Microcrack-Induced Mechanical Properties in Shales. 52nd U.S. Rock Mechanics/Geomechanics Symposium. 2 indexed citations
13.
Abedi, Sara, et al.. (2018). A Probabilistic Multiscale Approach for Modeling Poromechanical Properties of Shales. 52nd U.S. Rock Mechanics/Geomechanics Symposium. 1 indexed citations
14.
Alcaraz, M.L., et al.. (2018). Streamlined life cycle assessment: A case study on tablets and integrated circuits. Journal of Cleaner Production. 200. 819–826. 11 indexed citations
15.
Noshadravan, Arash, T. Reed Miller, & Jeremy Gregory. (2017). A Lifecycle Cost Analysis of Residential Buildings Including Natural Hazard Risk. Journal of Construction Engineering and Management. 143(7). 30 indexed citations
16.
Caldeira, Carla, et al.. (2016). Incorporating uncertainty in the life cycle assessment of biodiesel from waste cooking oil addressing different collection systems. Resources Conservation and Recycling. 112. 83–92. 28 indexed citations
17.
Gregory, Jeremy, Arash Noshadravan, Elsa Olivetti, & Randolph Kirchain. (2016). A Methodology for Robust Comparative Life Cycle Assessments Incorporating Uncertainty. Environmental Science & Technology. 50(12). 6397–6405. 68 indexed citations
18.
Qomi, Mohammad Javad Abdolhosseini, Arash Noshadravan, Jameson L. Toole, et al.. (2016). Data analytics for simplifying thermal efficiency planning in cities. Journal of The Royal Society Interface. 13(117). 20150971–20150971. 28 indexed citations
19.
Swei, Omar, et al.. (2014). Supplementary Information for Comparative Pavement Life Cycle Assessment and Life Cycle Cost Analysis. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations
20.
Noshadravan, Arash, et al.. (2013). Comparative pavement life cycle assessment with parameter uncertainty. Transportation Research Part D Transport and Environment. 25. 131–138. 80 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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