Mohammad Rezasefat

622 total citations
35 papers, 470 citations indexed

About

Mohammad Rezasefat is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Mohammad Rezasefat has authored 35 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 17 papers in Mechanical Engineering and 14 papers in Civil and Structural Engineering. Recurrent topics in Mohammad Rezasefat's work include Mechanical Behavior of Composites (19 papers), Structural Response to Dynamic Loads (10 papers) and High-Velocity Impact and Material Behavior (7 papers). Mohammad Rezasefat is often cited by papers focused on Mechanical Behavior of Composites (19 papers), Structural Response to Dynamic Loads (10 papers) and High-Velocity Impact and Material Behavior (7 papers). Mohammad Rezasefat collaborates with scholars based in Canada, Italy and Brazil. Mohammad Rezasefat's co-authors include Andrea Manes, Marco Giglio, Tohid Mirzababaie Mostofi, James D. Hogan, Sandro Campos Amico, Togay Ozbakkaloglu, Dayou Ma, Hashem Babaei, Hamed Rajabi and Stanislav N. Gorb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Journal of Materials Science.

In The Last Decade

Mohammad Rezasefat

31 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Rezasefat Canada 14 304 190 175 133 91 35 470
Radha Raman Dash India 12 257 0.8× 268 1.4× 116 0.7× 102 0.8× 190 2.1× 25 617
G. Haugou France 14 213 0.7× 238 1.3× 136 0.8× 189 1.4× 99 1.1× 50 516
Shaoluo Wang China 14 198 0.7× 353 1.9× 73 0.4× 78 0.6× 103 1.1× 24 514
Ian Crouch Australia 10 306 1.0× 210 1.1× 114 0.7× 235 1.8× 118 1.3× 15 529
Pasqualino Corigliano Italy 15 331 1.1× 374 2.0× 136 0.8× 137 1.0× 30 0.3× 34 574
Guiping Zhao China 15 238 0.8× 312 1.6× 136 0.8× 84 0.6× 65 0.7× 43 564
Vasavi Boggarapu India 8 206 0.7× 127 0.7× 74 0.4× 82 0.6× 88 1.0× 19 361
Mehmet Bağcı Türkiye 11 170 0.6× 292 1.5× 85 0.5× 94 0.7× 85 0.9× 33 528
Chandrakant R. Kini India 13 148 0.5× 211 1.1× 86 0.5× 109 0.8× 175 1.9× 63 526
Shijie Guo China 11 156 0.5× 235 1.2× 181 1.0× 78 0.6× 65 0.7× 30 491

Countries citing papers authored by Mohammad Rezasefat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Rezasefat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Rezasefat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Rezasefat. A scholar is included among the top collaborators of Mohammad Rezasefat 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 Mohammad Rezasefat. Mohammad Rezasefat 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.
Zhang, Shunqi, Dayou Ma, Mohammad Rezasefat, Sandro Campos Amico, & Andrea Manes. (2025). Investigation on progressive damage evolution for low-velocity impact simulation of woven composites. International Journal of Impact Engineering. 202. 105316–105316. 2 indexed citations
2.
Rezasefat, Mohammad, et al.. (2025). A high-throughput framework for predicting three-dimensional structural–mechanical relationships of human cranial bones using a deep learning-based method. Journal of the mechanical behavior of biomedical materials. 168. 107007–107007.
3.
Rezasefat, Mohammad, et al.. (2025). On the role of stress state in the failure behavior of alumina ceramics via stereolithography: Quasi-static and dynamic loading. Journal of Manufacturing Processes. 151. 607–622.
5.
Rezasefat, Mohammad, et al.. (2024). Simple projection method: a novel algorithm for estimation of characteristic element length in finite element simulations of composites. International Journal of Fracture. 246(2-3). 309–331. 1 indexed citations
7.
Kumar, Yogesh, Mohammad Rezasefat, Sandro Campos Amico, et al.. (2024). Comparison of two progressive damage models for predicting low-velocity impact behavior of woven composites. Thin-Walled Structures. 197. 111611–111611. 20 indexed citations
8.
Rezasefat, Mohammad, et al.. (2024). Dynamic Behavior and Permanent Indentation in S2-Glass Woven Fabric Reinforced Polymer Composites under Impact: Experimentation and High-Fidelity Modeling. Journal of Composites Science. 8(4). 138–138. 2 indexed citations
9.
Rezasefat, Mohammad, et al.. (2024). Quantification of stress-state and strain-rate-dependent damage evolution in ceramics through a rate-dependent finite-discrete element model. Journal of the European Ceramic Society. 45(5). 117155–117155. 1 indexed citations
11.
Rezasefat, Mohammad & James D. Hogan. (2024). Prediction of 4D stress field evolution around additive manufacturing-induced porosity through progressive deep-learning frameworks. Machine Learning Science and Technology. 5(1). 15038–15038. 8 indexed citations
12.
Rezasefat, Mohammad, et al.. (2024). A comprehensive analysis of human cranial morphology: multiscale characterization and statistical analysis. Journal of Materials Science. 59(32). 15529–15544. 1 indexed citations
13.
Kumar, Yogesh, Mohammad Rezasefat, & James D. Hogan. (2023). Axial crushing of circular thin-walled specimens made of CFRP using progressive failure model (MAT54) in LS-Dyna. Materials Today Proceedings. 4 indexed citations
14.
Rezasefat, Mohammad, et al.. (2023). Experimental and Numerical Study of the Influence of Pre-Existing Impact Damage on the Low-Velocity Impact Response of CFRP Panels. Materials. 16(3). 914–914. 12 indexed citations
15.
Rezasefat, Mohammad & James D. Hogan. (2023). A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions. Machine Learning Science and Technology. 4(4). 45052–45052. 16 indexed citations
16.
Rezasefat, Mohammad & James D. Hogan. (2023). Machine Learning-Assisted Characterization of Pore-Induced Variability in Mechanical Response of Additively Manufactured Components. SHILAP Revista de lepidopterología. 5(1). 1–15. 6 indexed citations
17.
Rezasefat, Mohammad, et al.. (2023). A hybrid micro-macro mechanical damage model to consider the influence of resin-rich zones on the transverse tensile behaviour of unidirectional composites. Composite Structures. 308. 116714–116714. 18 indexed citations
18.
Ma, Dayou, et al.. (2023). Effect of fixture boundary conditions for low-velocity impact: A focus on composites with different matrix and fibers. Materials Letters. 355. 135370–135370. 3 indexed citations
19.
Rezasefat, Mohammad, Marco Giglio, & Andrea Manes. (2022). Numerical Investigation of the Effect of Open Holes on the Impact Response of CFRP Laminates. Applied Composite Materials. 29(4). 1555–1578. 16 indexed citations
20.
Mostofi, Tohid Mirzababaie, et al.. (2021). High-velocity powder compaction: An experimental investigation, modelling, and optimization. STRUCTURAL ENGINEERING AND MECHANICS. 78(2). 145. 1 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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