Anirban Chaudhuri

1.6k total citations · 1 hit paper
66 papers, 1.2k citations indexed

About

Anirban Chaudhuri is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Anirban Chaudhuri has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 23 papers in Statistics, Probability and Uncertainty and 15 papers in Management Science and Operations Research. Recurrent topics in Anirban Chaudhuri's work include Advanced Multi-Objective Optimization Algorithms (24 papers), Probabilistic and Robust Engineering Design (23 papers) and Optimal Experimental Design Methods (13 papers). Anirban Chaudhuri is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (24 papers), Probabilistic and Robust Engineering Design (23 papers) and Optimal Experimental Design Methods (13 papers). Anirban Chaudhuri collaborates with scholars based in United States, India and France. Anirban Chaudhuri's co-authors include Norman M. Wereley, Raphael T. Haftka, Karen Willcox, Shaju John, R. Radhakrishnan, S. Kotha, T. S. Sudarshan, Joonhyuk Yoo, Brian J. Love and Jyotirmay Mathur and has published in prestigious journals such as Applied Energy, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

In The Last Decade

Anirban Chaudhuri

63 papers receiving 1.2k citations

Hit Papers

Survey and perspective on verification, validation, and u... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anirban Chaudhuri United States 18 450 318 294 264 252 66 1.2k
Shengli Xu China 20 574 1.3× 451 1.4× 259 0.9× 66 0.3× 168 0.7× 59 1.4k
Abdelkhalak El Hami France 25 570 1.3× 409 1.3× 685 2.3× 148 0.6× 733 2.9× 197 1.9k
Michel Salaün France 18 324 0.7× 227 0.7× 275 0.9× 159 0.6× 201 0.8× 58 1.5k
Dong-Hoon Choi South Korea 22 338 0.8× 317 1.0× 644 2.2× 69 0.3× 172 0.7× 92 1.3k
Christian Gogu France 21 301 0.7× 240 0.8× 274 0.9× 48 0.2× 316 1.3× 59 1.1k
Byung Man Kwak South Korea 23 659 1.5× 455 1.4× 474 1.6× 228 0.9× 431 1.7× 102 1.8k
Fabian Duddeck Germany 17 569 1.3× 350 1.1× 455 1.5× 59 0.2× 198 0.8× 120 1.2k
Yi Gao China 15 192 0.4× 167 0.5× 160 0.5× 104 0.4× 262 1.0× 72 863
José Herskovits Brazil 22 833 1.9× 381 1.2× 227 0.8× 150 0.6× 150 0.6× 66 1.6k

Countries citing papers authored by Anirban Chaudhuri

Since Specialization
Citations

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

Fields of papers citing papers by Anirban Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirban Chaudhuri

This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Chaudhuri. A scholar is included among the top collaborators of Anirban Chaudhuri 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 Anirban Chaudhuri. Anirban Chaudhuri 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.
Du, Xiaosong, Mengwu Guo, Joaquim R. R. A. Martins, et al.. (2025). Improving Neural Network Efficiency With Multifidelity and Dimensionality Reduction Techniques. Lund University Publications (Lund University). 2 indexed citations
2.
Sel, Kaan, Andrea Hawkins‐Daarud, Anirban Chaudhuri, et al.. (2025). Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. npj Digital Medicine. 8(1). 40–40. 22 indexed citations breakdown →
3.
Qian, Elizabeth, et al.. (2024). Multifidelity linear regression for scientific machine learning from scarce data. 7(1). 271–297. 2 indexed citations
4.
Chaudhuri, Anirban, David A. Hormuth, Guillermo Lorenzo, et al.. (2023). Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers in Artificial Intelligence. 6. 1222612–1222612. 41 indexed citations
5.
Du, Xiaosong, et al.. (2023). Learning Optimal Aerodynamic Designs through Multi-Fidelity Reduced-Dimensional Neural Networks. AIAA SCITECH 2023 Forum. 4 indexed citations
6.
Chaudhuri, Anirban, et al.. (2019). mfEGRA: Multifidelity Efficient Global Reliability Analysis.. 6 indexed citations
7.
Chaudhuri, Anirban, et al.. (2019). Series Realization of Non-Linear Analog Functions using Current Mode Device. 36. 694–699. 2 indexed citations
8.
Gogu, Christian, Anirban Chaudhuri, & Christian Bès. (2016). How Adaptively Constructed Reduced Order Models Can Benefit Sampling-Based Methodsfor Reliability Analyses. International Journal of Reliability Quality and Safety Engineering. 23(5). 1650019–1650019. 2 indexed citations
9.
Chaudhuri, Anirban, et al.. (2015). Multi-Objective Experimental Optimization with Multiple Simultaneous Sampling for Flapping Wings. 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2 indexed citations
10.
Chaudhuri, Anirban & Raphael T. Haftka. (2015). Effectiveness Indicators for Stopping Criteria based on Minimum Required Improvement. 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
11.
Chaudhuri, Anirban. (2014). Implications of optimization cost for balancing exploration and exploitation in global search and for experimental optimization. PhDT. 4 indexed citations
12.
Chaudhuri, Anirban & Raphael T. Haftka. (2014). Efficient Global Optimization with Adaptive Target Setting. AIAA Journal. 52(7). 1573–1578. 40 indexed citations
13.
Chaudhuri, Anirban & Raphael T. Haftka. (2013). Separable Monte Carlo combined with importance sampling for variance reduction. International Journal of Reliability and Safety. 7(3). 201–201. 9 indexed citations
14.
Chaudhuri, Anirban, Raphael T. Haftka, & Layne T. Watson. (2012). How to Decide Whether to Run One More Cycle in Efficient Global Optimization. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 6 indexed citations
15.
Chaudhuri, Anirban, Raphael T. Haftka, & Felipe Viana. (2012). Efficient Global Optimization with Adaptive Target for Probability of Targeted Improvement. 9 indexed citations
16.
Chaudhuri, Anirban & Norman M. Wereley. (2011). Compact hybrid electrohydraulic actuators using smart materials: A review. Journal of Intelligent Material Systems and Structures. 23(6). 597–634. 44 indexed citations
17.
Chaudhuri, Anirban, et al.. (2007). Blocked force and free displacement characterization of PMN-32%PT stacks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6526. 652603–652603. 2 indexed citations
18.
Wereley, Norman M., Anirban Chaudhuri, Joonhyuk Yoo, et al.. (2006). Bidisperse Magnetorheological Fluids using Fe Particles at Nanometer and Micron Scale. Journal of Intelligent Material Systems and Structures. 17(5). 393–401. 196 indexed citations
19.
Chaudhuri, Anirban, Jin-Hyeong Yoo, & Norman M. Wereley. (2006). Dynamic Modeling of Magnetostrictive Hydraulic Pump. Aerospace. 331–337. 7 indexed citations
20.
Chaudhuri, Anirban, Norman M. Wereley, & R. Radhakrishnan. (2005). Genetic algorithms for rheological parameter estimation of magnetorheological fluids. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5761. 164–164. 3 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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