Anindya Bhaduri

443 total citations · 1 hit paper
23 papers, 300 citations indexed

About

Anindya Bhaduri is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Anindya Bhaduri has authored 23 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Mechanics of Materials and 6 papers in Mechanical Engineering. Recurrent topics in Anindya Bhaduri's work include Model Reduction and Neural Networks (7 papers), Probabilistic and Robust Engineering Design (4 papers) and Composite Material Mechanics (4 papers). Anindya Bhaduri is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Probabilistic and Robust Engineering Design (4 papers) and Composite Material Mechanics (4 papers). Anindya Bhaduri collaborates with scholars based in United States, United Kingdom and Spain. Anindya Bhaduri's co-authors include Lori Graham‐Brady, Audrey Olivier, Michael D. Shields, Robert M. Kirby, Yanyan He, Ryan Hurley, Liping Wang, Philippe H. Geubelle, Dimitri N. Mavris and Sayan Ghosh and has published in prestigious journals such as Journal of Computational Physics, Journal of Applied Mechanics and Composites Part B Engineering.

In The Last Decade

Anindya Bhaduri

19 papers receiving 289 citations

Hit Papers

Stress field prediction in fiber-reinforced composite mat... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Stress field prediction in fiber-reinforced composite materials using a deep learning approach
    2022 142 citations Anindya Bhaduri, Lori Graham‐Brady et al. profile →

Peers

Anindya Bhaduri
Mahsa Tajdari United States
Atsuya Oishi Japan
Robert Eggersmann Germany
Vladimir Buljak Serbia
Shirko Faroughi Iran
Biagio Carboni Italy
Shouyan Jiang China
A.A. Al-Qaisia Jordan
Zhonggang Li China
Pierre Joyot France
Mahsa Tajdari United States
Anindya Bhaduri
Citations per year, relative to Anindya Bhaduri Anindya Bhaduri (= 1×) peers Mahsa Tajdari

Countries citing papers authored by Anindya Bhaduri

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Bhaduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Bhaduri

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Bhaduri. A scholar is included among the top collaborators of Anindya Bhaduri 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 Anindya Bhaduri. Anindya Bhaduri 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.
Wang, Zihan, Anindya Bhaduri, Hongyi Xu, & Liping Wang. (2025). An uncertainty-aware deep learning framework-based robust design optimization of metamaterial units. Structural and Multidisciplinary Optimization. 68(3). 2 indexed citations
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Bhaduri, Anindya, et al.. (2024). Shock wave prediction in transonic flow fields using domain-informed probabilistic deep learning. Physics of Fluids. 36(1). 9 indexed citations
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Bhaduri, Anindya, et al.. (2024). Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. Journal of Computing and Information Science in Engineering. 24(5). 2 indexed citations
6.
Voo, Liming, et al.. (2024). Validation of a computational biomechanical mouse brain model for rotational head acceleration. Biomechanics and Modeling in Mechanobiology. 23(4). 1347–1367. 1 indexed citations
7.
Michopoulos, John G., Anindya Bhaduri, Francisco Chinesta, et al.. (2024). Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems. Journal of Computing and Information Science in Engineering. 24(11). 2 indexed citations
8.
Ghosh, Sayan, Zhihui Yang, Anindya Bhaduri, et al.. (2024). Climate Impact of Contrails from an Aircraft Fleet-Level Perspective.
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Yuan, Lang, Shenyan Huang, Yang Jiao, et al.. (2023). Validation and application of cellular automaton model for microstructure evolution in IN718 during directed energy deposition. Computational Materials Science. 230. 112450–112450. 8 indexed citations
11.
Kitt, Alexander L., et al.. (2023). Physics-based crack formation model for René 80 in laser blown directed energy deposition: Theory and experiment. Additive manufacturing. 73. 103675–103675.
12.
Ghosh, Sayan, et al.. (2023). Probabilistic Transfer Learning through Ensemble Probabilistic Deep Neural Network. AIAA SCITECH 2023 Forum. 2 indexed citations
13.
Bhaduri, Anindya, Liping Wang, Andrew Hoffman, et al.. (2023). On Uncertainty Quantification in Materials Modeling and Discovery: Applications of GE's BHM and IDACE. AIAA SCITECH 2023 Forum. 6 indexed citations
14.
Bhaduri, Anindya, et al.. (2023). Accelerated multiscale mechanics modeling in a deep learning framework. Mechanics of Materials. 184. 104709–104709. 38 indexed citations
15.
Bhaduri, Anindya, Jing Li, Sayan Ghosh, & Liping Wang. (2022). Efficient Surrogate Modeling for Turbine Blade Row Cyclic Symmetric Mode Shapes. 1 indexed citations
16.
Bhaduri, Anindya, et al.. (2021). An efficient optimization based microstructure reconstruction approach with multiple loss functions. arXiv (Cornell University). 31 indexed citations
17.
Bhaduri, Anindya, et al.. (2021). Failure Modeling and Sensitivity Analysis of Ceramics Under Impact. Journal of Applied Mechanics. 88(5). 12 indexed citations
18.
Bhaduri, Anindya, et al.. (2020). On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models. Probabilistic Engineering Mechanics. 60. 103024–103024. 16 indexed citations
19.
Bhaduri, Anindya, et al.. (2019). Free energy calculation using space filled design and weighted reconstruction: a modified single sweep approach. Molecular Simulation. 46(3). 193–206. 5 indexed citations
20.
Bhaduri, Anindya, Yanyan He, Michael D. Shields, Lori Graham‐Brady, & Robert M. Kirby. (2018). Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis. Journal of Computational Physics. 371. 732–750. 20 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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