Navid Zobeiry

2.2k total citations · 1 hit paper
63 papers, 1.6k citations indexed

About

Navid Zobeiry is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Navid Zobeiry has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Mechanics of Materials, 36 papers in Mechanical Engineering and 13 papers in Civil and Structural Engineering. Recurrent topics in Navid Zobeiry's work include Mechanical Behavior of Composites (40 papers), Epoxy Resin Curing Processes (22 papers) and Ultrasonics and Acoustic Wave Propagation (10 papers). Navid Zobeiry is often cited by papers focused on Mechanical Behavior of Composites (40 papers), Epoxy Resin Curing Processes (22 papers) and Ultrasonics and Acoustic Wave Propagation (10 papers). Navid Zobeiry collaborates with scholars based in United States, Canada and Australia. Navid Zobeiry's co-authors include Reza Vaziri, Anoush Poursartip, Keith D. Humfeld, Johannes Reiner, G. Fernlund, Marco Salviato, Carla McGregor, Yuval Freed, Michael R. Wisnom and Stephen R. Hallett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Composites Science and Technology and Composites Part B Engineering.

In The Last Decade

Navid Zobeiry

61 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

2021 290 citations Navid Zobeiry et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Navid Zobeiry United States	23	949	724	333	186	172	63	1.6k
Jiaying Gao United States	15	716 0.8×	341 0.5×	221 0.7×	136 0.7×	119 0.7×	25	1.1k
Julia Mergheim Germany	22	902 1.0×	597 0.8×	208 0.6×	66 0.4×	43 0.3×	93	1.6k
Reza Vaziri Canada	35	2.5k 2.6×	1.6k 2.3×	1.1k 3.3×	446 2.4×	140 0.8×	96	3.3k
Fabian Duddeck Germany	17	229 0.2×	455 0.6×	569 1.7×	59 0.3×	45 0.3×	120	1.2k
Jae Hyuk Lim South Korea	20	507 0.5×	349 0.5×	351 1.1×	77 0.4×	47 0.3×	80	1.1k
Martin Schagerl Austria	16	497 0.5×	405 0.6×	410 1.2×	50 0.3×	26 0.2×	100	982
Boško Rašuo Serbia	27	404 0.4×	413 0.6×	199 0.6×	57 0.3×	34 0.2×	106	1.5k
Claudio Sbarufatti Italy	27	838 0.9×	710 1.0×	1.0k 3.0×	169 0.9×	15 0.1×	139	2.2k
Balaji Raghavan France	19	366 0.4×	216 0.3×	618 1.9×	46 0.2×	95 0.6×	49	1.2k

Countries citing papers authored by Navid Zobeiry

Since Specialization

Citations

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

Fields of papers citing papers by Navid Zobeiry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Zobeiry

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

All Works

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20 of 20 papers shown

Zobeiry, Navid, et al.. (2024). Efficient characterization and optimization of pyrolysis in carbon-carbon composites through machine learning. Composites Part A Applied Science and Manufacturing. 190. 108664–108664. 1 indexed citations

Salviato, Marco, et al.. (2024). Assessment of the effect of processing parameters on peel failure of laser-assisted automated fiber placed thermoplastic composites. Manufacturing Letters. 40. 93–96. 1 indexed citations

Zappino, Enrico, et al.. (2024). Efficient analysis of composites manufacturing using multi-fidelity simulation and probabilistic machine learning. Composites Part B Engineering. 280. 111499–111499. 8 indexed citations

Zappino, Enrico, et al.. (2024). Development of mitigation strategies for process-induced deformations through finite elements. Mechanics of Advanced Materials and Structures. 31(28). 11054–11066. 6 indexed citations

Zobeiry, Navid, et al.. (2024). Theory-guided machine learning for thermal modeling of in-situ automated fiber placement of thermoplastic composites. Composites Science and Technology. 260. 110987–110987. 6 indexed citations

Zobeiry, Navid, et al.. (2024). Hybrid Physics and Machine Learning Modeling for Material Characterization and Failure Analysis. 1 indexed citations

Zobeiry, Navid, et al.. (2023). Investigating the impacts of processing variability on tool-part interaction for interply-toughened aerospace composites using a novel shear technique. Composites Part A Applied Science and Manufacturing. 178. 107973–107973. 2 indexed citations

Zobeiry, Navid, et al.. (2023). An Accelerated Process Optimization Method to Minimize Deformations in Composites Using Theory-guided Probabilistic Machine Learning. Composites Part A Applied Science and Manufacturing. 176. 107842–107842. 17 indexed citations

Zobeiry, Navid, et al.. (2023). Accelerated In Situ Inspection of Release Coating and Tool Surface Condition in Composites Manufacturing Using Global Mapping, Sparse Sensing, and Machine Learning. Journal of Manufacturing and Materials Processing. 7(3). 81–81. 2 indexed citations

10.

Reiner, Johannes, et al.. (2023). Bayesian parameter estimation for the inclusion of uncertainty in progressive damage simulation of composites. Composite Structures. 321. 117257–117257. 15 indexed citations

11.

Fomin, Sergey, et al.. (2023). A Combined Finite Element and Machine Learning Approach to Accelerate Calibration and Validation of Numerical Models for Prediction of Failure in Aerospace Composite Parts. 2 indexed citations

12.

Freed, Yuval, Navid Zobeiry, & Marco Salviato. (2022). Development of aviation industry-oriented methodology for failure predictions of brittle bonded joints using probabilistic machine learning. Composite Structures. 297. 115979–115979. 26 indexed citations

13.

Freed, Yuval, Marco Salviato, & Navid Zobeiry. (2022). Implementation of a probabilistic machine learning strategy for failure predictions of adhesively bonded joints using cohesive zone modeling. International Journal of Adhesion and Adhesives. 118. 103226–103226. 32 indexed citations

14.

Reiner, Johannes, Navid Zobeiry, & Reza Vaziri. (2021). Efficient finite element simulation of compression after impact behaviour in quasi-isotropic composite laminates. Composites Communications. 28. 100967–100967. 22 indexed citations

15.

Zobeiry, Navid, et al.. (2019). Experimental and numerical study of coupled gas and resin transport and its effect on porosity. Journal of Reinforced Plastics and Composites. 38(23-24). 1055–1066. 8 indexed citations

16.

Zobeiry, Navid, Cheol Park, & Anoush Poursartip. (2018). An infrared thermography-based method for the evaluation of the thermal response of tooling for composites manufacturing. Journal of Composite Materials. 53(10). 1277–1290. 11 indexed citations

17.

Vaziri, Reza, et al.. (2016). An Efficient Virtual Testing Framework to Simulate the Interacting Effect of Intra-laminar and Inter-laminar Damage Progression in Composite Laminates. 1 indexed citations

18.

Zobeiry, Navid, et al.. (2016). Multiscale characterization and representation of composite materials during processing. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2071). 20150278–20150278. 54 indexed citations

19.

Xu, Xiaodong, Michael R. Wisnom, Stephen R. Hallett, et al.. (2013). STACKING SEQUENCE EFFECTS IN OVER-HEIGHT COMPACT TENSION TESTS OF QUASI-ISOTROPIC LAMINATES. Explore Bristol Research. 9 indexed citations

20.

Zobeiry, Navid, et al.. (2013). A structural modelling framework for prediction of damage development and failure of composite laminates. Journal of Composite Materials. 47(20-21). 2553–2573. 45 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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