I.B.C.M. Rocha

934 total citations
29 papers, 672 citations indexed

About

I.B.C.M. Rocha is a scholar working on Mechanics of Materials, Statistical and Nonlinear Physics and Civil and Structural Engineering. According to data from OpenAlex, I.B.C.M. Rocha has authored 29 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanics of Materials, 11 papers in Statistical and Nonlinear Physics and 9 papers in Civil and Structural Engineering. Recurrent topics in I.B.C.M. Rocha's work include Composite Material Mechanics (12 papers), Model Reduction and Neural Networks (11 papers) and Mechanical Behavior of Composites (10 papers). I.B.C.M. Rocha is often cited by papers focused on Composite Material Mechanics (12 papers), Model Reduction and Neural Networks (11 papers) and Mechanical Behavior of Composites (10 papers). I.B.C.M. Rocha collaborates with scholars based in Netherlands, France and Brazil. I.B.C.M. Rocha's co-authors include F.P. van der Meer, L.J. Sluys, R.P.L. Nijssen, Pierre Kerfriden, Andrey E. Krauklis, Abedin I. Gagani, Olesja Starkova, Christian W. Karl, Juris Burlakovs and Evandro Parente and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids and Composites Science and Technology.

In The Last Decade

I.B.C.M. Rocha

27 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I.B.C.M. Rocha Netherlands 15 416 229 176 113 86 29 672
Xuehui Gan China 18 396 1.0× 483 2.1× 160 0.9× 224 2.0× 202 2.3× 67 825
Jacob Muthu South Africa 11 316 0.8× 128 0.6× 119 0.7× 196 1.7× 191 2.2× 25 664
R.P.L. Nijssen Netherlands 11 387 0.9× 198 0.9× 135 0.8× 124 1.1× 57 0.7× 27 541
Su Tian United States 4 167 0.4× 105 0.5× 29 0.2× 107 0.9× 50 0.6× 13 338
Weizhao Zhang Hong Kong 13 375 0.9× 252 1.1× 154 0.9× 141 1.2× 42 0.5× 47 545
Guojun Zheng China 16 379 0.9× 309 1.3× 44 0.3× 219 1.9× 99 1.2× 43 673
Weikang Sun China 15 312 0.8× 168 0.7× 84 0.5× 189 1.7× 113 1.3× 42 653
Stuart Dutton Australia 6 371 0.9× 231 1.0× 105 0.6× 186 1.6× 80 0.9× 10 628
Jiuyang Yu China 14 138 0.3× 235 1.0× 34 0.2× 46 0.4× 140 1.6× 53 549
Nagaraja Iyyer United States 18 598 1.4× 463 2.0× 31 0.2× 184 1.6× 203 2.4× 61 827

Countries citing papers authored by I.B.C.M. Rocha

Since Specialization
Citations

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

Fields of papers citing papers by I.B.C.M. Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.B.C.M. Rocha. 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 I.B.C.M. Rocha. The network helps show where I.B.C.M. Rocha may publish in the future.

Co-authorship network of co-authors of I.B.C.M. Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of I.B.C.M. Rocha. A scholar is included among the top collaborators of I.B.C.M. Rocha 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 I.B.C.M. Rocha. I.B.C.M. Rocha 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.
Rocha, I.B.C.M., et al.. (2025). Towards practical Bayesian system identification of engineering structures with spatially dense measurements. Engineering Structures. 334. 120214–120214. 1 indexed citations
2.
Sun, WaiChing, et al.. (2025). Mixing Data‐Driven and Physics‐Based Constitutive Models Using Uncertainty‐Driven Phase Fields. International Journal for Numerical Methods in Engineering. 126(20).
3.
Rocha, I.B.C.M., et al.. (2024). Unifying creep and fatigue modeling of composites: A time-homogenized micromechanical framework with viscoplasticity and cohesive damage. Journal of the Mechanics and Physics of Solids. 193. 105904–105904. 3 indexed citations
4.
Rocha, I.B.C.M., et al.. (2024). Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework. Mechanics of Materials. 198. 105145–105145. 6 indexed citations
5.
Kerfriden, Pierre, et al.. (2024). A Bayesian approach to modeling finite element discretization error. Statistics and Computing. 34(5).
6.
Rocha, I.B.C.M., et al.. (2024). A microstructure-based graph neural network for accelerating multiscale simulations. Computer Methods in Applied Mechanics and Engineering. 427. 117001–117001. 7 indexed citations
7.
Mirkhalaf, Mohsen & I.B.C.M. Rocha. (2024). Micromechanics-based deep-learning for composites: Challenges and future perspectives. European Journal of Mechanics - A/Solids. 105. 105242–105242. 17 indexed citations
8.
Rocha, I.B.C.M., Pierre Kerfriden, & F.P. van der Meer. (2023). Machine learning of evolving physics-based material models for multiscale solid mechanics. Mechanics of Materials. 184. 104707–104707. 17 indexed citations
9.
Rocha, I.B.C.M., et al.. (2023). Physically recurrent neural networks for path-dependent heterogeneous materials: Embedding constitutive models in a data-driven surrogate. Computer Methods in Applied Mechanics and Engineering. 407. 115934–115934. 39 indexed citations
10.
Krauklis, Andrey E., Christian W. Karl, I.B.C.M. Rocha, et al.. (2022). Modelling of Environmental Ageing of Polymers and Polymer Composites—Modular and Multiscale Methods. Polymers. 14(1). 216–216. 59 indexed citations
11.
Starkova, Olesja, Abedin I. Gagani, Christian W. Karl, et al.. (2022). Modelling of Environmental Ageing of Polymers and Polymer Composites—Durability Prediction Methods. Polymers. 14(5). 907–907. 66 indexed citations
12.
13.
Rocha, I.B.C.M., Pierre Kerfriden, & F.P. van der Meer. (2020). Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks. European Journal of Mechanics - A/Solids. 82. 103995–103995. 52 indexed citations
14.
Rocha, I.B.C.M., et al.. (2019). Numerical/experimental study of the monotonic and cyclic viscoelastic/viscoplastic/fracture behavior of an epoxy resin. International Journal of Solids and Structures. 168. 153–165. 43 indexed citations
15.
Rocha, I.B.C.M., et al.. (2019). Accelerating crack growth simulations through adaptive model order reduction. International Journal for Numerical Methods in Engineering. 121(10). 2147–2173. 9 indexed citations
16.
Rocha, I.B.C.M., F.P. van der Meer, & L.J. Sluys. (2018). Efficient micromechanical analysis of fiber-reinforced composites subjected to cyclic loading through time homogenization and reduced-order modeling. Computer Methods in Applied Mechanics and Engineering. 345. 644–670. 17 indexed citations
17.
Rocha, I.B.C.M., F.P. van der Meer, R.P.L. Nijssen, & L.J. Sluys. (2017). A multiscale and multiphysics numerical framework for modelling of hygrothermal ageing in laminated composites. International Journal for Numerical Methods in Engineering. 112(4). 360–379. 18 indexed citations
18.
Rocha, I.B.C.M., et al.. (2016). Experimental/numerical study of anisotropic water diffusion in glass/epoxy composites. IOP Conference Series Materials Science and Engineering. 139. 12044–12044. 8 indexed citations
19.
Rocha, I.B.C.M., et al.. (2015). HYDROTHERMAL AGEING OF GLASS-EPOXY COMPOSITES FOR WIND TURBINE BLADES. Research Repository (Delft University of Technology). 1 indexed citations
20.
Rocha, I.B.C.M., et al.. (2010). OPTIMIZATION OF LAMINATED TUBES USING FINITE ELEMENT ANALYSIS. 2 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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