Shahed Rezaei

1.8k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Shahed Rezaei is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Shahed Rezaei has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanics of Materials, 19 papers in Mechanical Engineering and 18 papers in Materials Chemistry. Recurrent topics in Shahed Rezaei's work include Numerical methods in engineering (13 papers), Model Reduction and Neural Networks (9 papers) and Composite Material Mechanics (8 papers). Shahed Rezaei is often cited by papers focused on Numerical methods in engineering (13 papers), Model Reduction and Neural Networks (9 papers) and Composite Material Mechanics (8 papers). Shahed Rezaei collaborates with scholars based in Germany, Iran and United States. Shahed Rezaei's co-authors include Stefanie Reese, Bai‐Xiang Xu, Stephan Wulfinghoff, Jaber Rezaei Mianroodi, Seyyed M. Hasheminejad, Tamara Reinicke, Mohammad Reza Khosravani, Ali M. Harandi, Dietmar Groß and Sarbajit Banerjee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Materials and Journal of Power Sources.

In The Last Decade

Shahed Rezaei

51 papers receiving 1.2k 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 mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method

2022 113 citations Shahed Rezaei, Bai‐Xiang Xu et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahed Rezaei Germany	22	482	353	296	254	223	54	1.2k
Bailin Zheng China	21	236 0.5×	482 1.4×	225 0.8×	643 2.5×	571 2.6×	86	1.5k
Yanfei Chen China	22	559 1.2×	578 1.6×	444 1.5×	88 0.3×	82 0.4×	44	1.4k
P. R. Budarapu India	23	730 1.5×	513 1.5×	507 1.7×	227 0.9×	179 0.8×	58	1.8k
Soheil Soghrati United States	24	971 2.0×	429 1.2×	343 1.2×	180 0.7×	91 0.4×	73	1.7k
Zhenghua Rao China	20	255 0.5×	820 2.3×	103 0.3×	148 0.6×	60 0.3×	58	1.2k
Colin Bonatti Switzerland	12	353 0.7×	1.2k 3.5×	246 0.8×	46 0.2×	424 1.9×	13	1.5k
Weibin Wen China	27	423 0.9×	1.7k 4.7×	317 1.1×	152 0.6×	492 2.2×	80	2.5k
Yong Huang China	20	159 0.3×	569 1.6×	133 0.4×	193 0.8×	90 0.4×	105	1.1k
Sheng‐Jye Hwang Taiwan	21	247 0.5×	791 2.2×	264 0.9×	545 2.1×	303 1.4×	108	1.5k

Countries citing papers authored by Shahed Rezaei

Since Specialization

Citations

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

Fields of papers citing papers by Shahed Rezaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahed Rezaei

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Linka, Kevin, et al.. (2025). SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures. Journal of the Mechanics and Physics of Solids. 203. 106219–106219. 4 indexed citations

Rezaei, Shahed, Ali M. Harandi, Tim Brepols, et al.. (2025). Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning. npj Computational Materials. 11(1). 1 indexed citations

Rezaei, Shahed, et al.. (2024). Microstructure impact on chemo-mechanical fracture of polycrystalline lithium-ion battery cathode materials. Engineering Fracture Mechanics. 309. 110370–110370. 9 indexed citations

Rezaei, Shahed, et al.. (2024). A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations. International Journal for Numerical Methods in Engineering. 126(1). 10 indexed citations

Zeng, Quan, Shahed Rezaei, Rachel D. Davidson, et al.. (2024). Chemomechanical damage prediction from phase-field simulation video sequences using a deep-learning-based methodology. iScience. 27(9). 110822–110822. 1 indexed citations

Rezaei, Shahed, et al.. (2024). A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. Engineering Fracture Mechanics. 314. 110675–110675. 1 indexed citations

Brepols, Tim, et al.. (2023). A comparative study between phase‐field and micromorphic gradient‐extended damage models for brittle fracture. PAMM. 22(1). 3 indexed citations

Rezaei, Shahed, Chaowei Du, Tim Brepols, et al.. (2023). Numerical and experimental studies on crack nucleation and propagation in thin films. International Journal of Mechanical Sciences. 258. 108568–108568. 7 indexed citations

Rezaei, Shahed, et al.. (2023). Data-driven multiscale simulation of solid-state batteries via machine learning. Computational Materials Science. 226. 112186–112186. 15 indexed citations

10.

Harandi, Ali M., et al.. (2023). Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains. International Journal for Numerical Methods in Engineering. 125(4). 44 indexed citations

11.

Faroughi, Shirko, et al.. (2023). On the order of derivation in the training of physics-informed neural networks: case studies for non-uniform beam structures. Acta Mechanica. 234(11). 5673–5695. 18 indexed citations

12.

Rezaei, Shahed, et al.. (2023). A cohesive phase-field fracture model for chemo-mechanical environments: Studies on degradation in battery materials. Theoretical and Applied Fracture Mechanics. 124. 103758–103758. 27 indexed citations

13.

Santos, David A., Shahed Rezaei, Delin Zhang, et al.. (2022). Chemistry–mechanics–geometry coupling in positive electrode materials: a scale-bridging perspective for mitigating degradation in lithium-ion batteries through materials design. Chemical Science. 14(3). 458–484. 26 indexed citations

14.

Rezaei, Shahed, et al.. (2022). A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. arXiv (Cornell University). 113 indexed citations breakdown →

15.

Luo, Yuting, Yang Bai, Aashutosh Mistry, et al.. (2021). Effect of crystallite geometries on electrochemical performance of porous intercalation electrodes by multiscale operando investigation. Nature Materials. 21(2). 217–227. 76 indexed citations

16.

Rezaei, Shahed, et al.. (2018). Atomistically motivated interface model to account for coupled plasticity and damage at grain boundaries. Journal of the Mechanics and Physics of Solids. 124. 325–349. 33 indexed citations

17.

Khaledi, Kavan, Shahed Rezaei, Stephan Wulfinghoff, & Stefanie Reese. (2018). A microscale finite element model for joining of metals by large plastic deformations. Comptes Rendus Mécanique. 346(8). 743–755. 21 indexed citations

18.

Khaledi, Kavan, Shahed Rezaei, Stephan Wulfinghoff, & Stefanie Reese. (2018). Modeling of joining by plastic deformation using a bonding interface finite element. International Journal of Solids and Structures. 160. 68–79. 20 indexed citations

19.

Rezaei, Shahed, Stephan Wulfinghoff, & Stefanie Reese. (2017). Application and parameter identification of cohesive zone elements for intergranular fracture in thin layer. PAMM. 17(1). 269–270. 1 indexed citations

20.

Rezaei, Shahed, Stephan Wulfinghoff, & Stefanie Reese. (2017). Prediction of fracture and damage in micro/nano coating systems using cohesive zone elements. International Journal of Solids and Structures. 121. 62–74. 52 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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