Ramin Bostanabad

2.7k total citations · 3 hit papers
44 papers, 2.0k citations indexed

About

Ramin Bostanabad is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ramin Bostanabad has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ramin Bostanabad's work include Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Machine Learning in Materials Science (8 papers). Ramin Bostanabad is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (12 papers) and Machine Learning in Materials Science (8 papers). Ramin Bostanabad collaborates with scholars based in United States, Netherlands and China. Ramin Bostanabad's co-authors include Daniel W. Apley, Miguel A. Bessa, Wing Kam Liu, Wei Chen, Jian Cao, Mojtaba Mozaffar, Kornel F. Ehmann, Anqi Hu, Zeliang Liu and Yichi Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Acta Materialia and Scientific Reports.

In The Last Decade

Ramin Bostanabad

39 papers receiving 2.0k 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.

Deep learning predicts path-dependent plasticity

2019 410 citations Ramin Bostanabad, Miguel A. Bessa et al. profile →
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

2017 406 citations Miguel A. Bessa, Ramin Bostanabad et al. Computer Methods in Applied Mechanics and Engineering profile →
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques

2018 295 citations Ramin Bostanabad, Yichi Zhang et al. Progress in Materials Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramin Bostanabad United States	18	789	585	506	392	330	44	2.0k
Zeliang Liu China	20	1.1k 1.4×	858 1.5×	483 1.0×	410 1.0×	286 0.9×	46	2.5k
Miguel A. Bessa United States	20	1.5k 1.9×	744 1.3×	452 0.9×	677 1.7×	217 0.7×	45	2.5k
Seid Korić United States	24	542 0.7×	748 1.3×	302 0.6×	502 1.3×	147 0.4×	73	2.1k
Somdatta Goswami United States	18	1.0k 1.3×	481 0.8×	361 0.7×	732 1.9×	121 0.4×	34	2.6k
Hu Wang China	31	776 1.0×	1.1k 1.8×	288 0.6×	756 1.9×	645 2.0×	229	3.1k
Khader M. Hamdia Germany	17	1.1k 1.4×	537 0.9×	508 1.0×	1.0k 2.7×	81 0.2×	24	2.7k
Laurent Stainier France	26	1.4k 1.7×	605 1.0×	705 1.4×	369 0.9×	308 0.9×	94	2.6k
WaiChing Sun United States	37	2.2k 2.8×	695 1.2×	507 1.0×	979 2.5×	317 1.0×	122	3.9k
Cosmin Anitescu Germany	28	2.4k 3.0×	835 1.4×	612 1.2×	1.3k 3.2×	218 0.7×	62	4.5k
Lori Graham‐Brady United States	25	932 1.2×	333 0.6×	412 0.8×	740 1.9×	172 0.5×	71	1.9k

Countries citing papers authored by Ramin Bostanabad

Since Specialization

Citations

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

Fields of papers citing papers by Ramin Bostanabad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramin Bostanabad

This figure shows the co-authorship network connecting the top 25 collaborators of Ramin Bostanabad. A scholar is included among the top collaborators of Ramin Bostanabad 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 Ramin Bostanabad. Ramin Bostanabad 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

Yousefpour, Amin, et al.. (2025). Compliance minimization via physics-informed Gaussian processes. Structural and Multidisciplinary Optimization. 68(12). 1 indexed citations

Johnson, Tyler, et al.. (2025). Simultaneous Calibration of an Arbitrary Number of Multiresponse Computer Models. Journal of Mechanical Design. 148(2).

Amiri, Mahsa, et al.. (2025). Unveiling processing–property relationships in laser powder bed fusion: The synergy of machine learning and high-throughput experiments. Materials & Design. 252. 113705–113705. 4 indexed citations

Yousefpour, Amin, et al.. (2025). Simultaneous and meshfree topology optimization with physics-informed Gaussian processes. Computer Methods in Applied Mechanics and Engineering. 437. 117698–117698. 6 indexed citations

Yousefpour, Amin, et al.. (2025). Localized Physics-Informed Gaussian Processes With Curriculum Training for Topology Optimization. 1 indexed citations

Amiri, M.C., et al.. (2025). An Experimental Study to Assess the Feasibility of Foundation Process–Property Models in Process Optimization. Journal of Mechanical Design. 148(2).

Bostanabad, Ramin, et al.. (2025). Cost-Aware Bayesian Optimization With Automatic Stop Condition Under Multi-Fidelity Constraints and Data. Journal of Mechanical Design. 148(2).

Shishehbor, Mehdi, et al.. (2024). Parametric encoding with attention and convolution mitigate spectral bias of neural partial differential equation solvers. Structural and Multidisciplinary Optimization. 67(7). 5 indexed citations

Yousefpour, Amin, et al.. (2024). Operator learning with Gaussian processes. Computer Methods in Applied Mechanics and Engineering. 434. 117581–117581. 1 indexed citations

10.

Yousefpour, Amin, et al.. (2024). GP+: A Python library for kernel-based learning via Gaussian processes. Advances in Engineering Software. 195. 103686–103686. 17 indexed citations

11.

Yousefpour, Amin, et al.. (2024). A gaussian process framework for solving forward and inverse problems involving nonlinear partial differential equations. Computational Mechanics. 75(4). 1213–1239. 3 indexed citations

12.

Won, Yoonjin, et al.. (2024). Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications. Journal of Mechanical Design. 146(10). 3 indexed citations

13.

Bostanabad, Ramin, et al.. (2023). Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets. Computer Methods in Applied Mechanics and Engineering. 415. 116207–116207. 10 indexed citations

14.

Shishehbor, Mehdi, et al.. (2022). Multi-Fidelity Cost-Aware Bayesian Optimization. SSRN Electronic Journal. 7 indexed citations

15.

Apelian, Diran, et al.. (2022). Data-Driven Calibration of Multifidelity Multiscale Fracture Models Via Latent Map Gaussian Process. Journal of Mechanical Design. 145(1). 14 indexed citations

16.

Suh, Youngjoon, Ramin Bostanabad, & Yoonjin Won. (2021). Deep learning predicts boiling heat transfer. Scientific Reports. 11(1). 5622–5622. 66 indexed citations

17.

Bostanabad, Ramin. (2019). Quantification of Microstructure Induced Uncertainty in Multiscale Materials with Random Processes. PhDT. 1 indexed citations

18.

Bostanabad, Ramin, Yichi Zhang, Xiaolin Li, et al.. (2018). Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques. Progress in Materials Science. 95. 1–41. 295 indexed citations breakdown →

19.

Bessa, Miguel A., Ramin Bostanabad, Zeliang Liu, et al.. (2017). A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality. Computer Methods in Applied Mechanics and Engineering. 320. 633–667. 406 indexed citations breakdown →

20.

Bostanabad, Ramin, et al.. (2017). Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering. 114(5). 501–516. 53 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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