Atin Roy

923 total citations · 1 hit paper
16 papers, 639 citations indexed

About

Atin Roy is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Atin Roy has authored 16 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 9 papers in Civil and Structural Engineering and 7 papers in Computational Theory and Mathematics. Recurrent topics in Atin Roy's work include Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Structural Health Monitoring Techniques (6 papers). Atin Roy is often cited by papers focused on Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Structural Health Monitoring Techniques (6 papers). Atin Roy collaborates with scholars based in India and United Kingdom. Atin Roy's co-authors include Subrata Chakraborty, Shyamal Ghosh, Sondipon Adhikari and Tanmoy Chatterjee and has published in prestigious journals such as Reliability Engineering & System Safety, Journal of Engineering Mechanics and Structural and Multidisciplinary Optimization.

In The Last Decade

Atin Roy

16 papers receiving 630 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.

Support vector machine in structural reliability analysis: A review

2023 255 citations Atin Roy, Subrata Chakraborty Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atin Roy India	10	343	277	113	91	81	16	639
Rui Teixeira Ireland	12	290 0.8×	203 0.7×	122 1.1×	81 0.9×	62 0.8×	34	606
Yicheng Zhou China	13	468 1.4×	255 0.9×	266 2.4×	82 0.9×	62 0.8×	31	657
Sifeng Bi China	16	444 1.3×	378 1.4×	111 1.0×	77 0.8×	74 0.9×	44	718
Won‐Sun Ruy South Korea	10	248 0.7×	190 0.7×	242 2.1×	53 0.6×	56 0.7×	45	576
Ramesh Rebba United States	9	512 1.5×	277 1.0×	174 1.5×	103 1.1×	71 0.9×	15	712
Harok Bae United States	11	525 1.5×	265 1.0×	204 1.8×	73 0.8×	63 0.8×	44	631
Xinyu Jia China	12	227 0.7×	207 0.7×	59 0.5×	64 0.7×	33 0.4×	27	803
Luyi Li China	16	567 1.7×	330 1.2×	160 1.4×	186 2.0×	87 1.1×	55	739
Wolfgang Betz Germany	10	599 1.7×	489 1.8×	109 1.0×	122 1.3×	224 2.8×	17	907
Sinan Xiao China	17	624 1.8×	328 1.2×	177 1.6×	210 2.3×	125 1.5×	47	792

Countries citing papers authored by Atin Roy

Since Specialization

Citations

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

Fields of papers citing papers by Atin Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atin Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Atin Roy. A scholar is included among the top collaborators of Atin Roy 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 Atin Roy. Atin Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Roy, Atin, et al.. (2025). Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel. Reliability Engineering & System Safety. 265. 111508–111508. 2 indexed citations

Roy, Atin, et al.. (2024). Reliability analyses of underground tunnels by an adaptive support vector regression model. Computers and Geotechnics. 172. 106418–106418. 5 indexed citations

Roy, Atin, Tanmoy Chatterjee, & Sondipon Adhikari. (2024). A physics-informed neural network enhanced importance sampling (PINN-IS) for data-free reliability analysis. Probabilistic Engineering Mechanics. 78. 103701–103701. 4 indexed citations

Roy, Atin, Subrata Chakraborty, & Sondipon Adhikari. (2024). Seismic reliability analysis of nonlinear structures by active learning-based adaptive sparse Bayesian regressions. International Journal of Non-Linear Mechanics. 165. 104817–104817. 2 indexed citations

Roy, Atin & Subrata Chakraborty. (2023). Support vector machine in structural reliability analysis: A review. Reliability Engineering & System Safety. 233. 109126–109126. 255 indexed citations breakdown →

Roy, Atin, et al.. (2023). A comparative study of various metamodeling approaches in tunnel reliability analysis. Probabilistic Engineering Mechanics. 75. 103553–103553. 10 indexed citations

Roy, Atin, Subrata Chakraborty, & Sondipon Adhikari. (2023). Reliability Analysis of Structures by Active Learning Enhanced Sparse Bayesian Regression. Journal of Engineering Mechanics. 149(5). 9 indexed citations

Roy, Atin & Subrata Chakraborty. (2023). Seismic Reliability Analysis of Structures by an Adaptive Support Vector Regression-Based Metamodel. Journal of Earthquake Engineering. 28(6). 1590–1614. 6 indexed citations

Roy, Atin, et al.. (2022). Reliability analysis of underground tunnel by a novel adaptive Kriging based metamodeling approach. Probabilistic Engineering Mechanics. 70. 103351–103351. 15 indexed citations

10.

Roy, Atin, et al.. (2021). Reliability analysis of structures by iterative sequential sampling based response surface. Proceedings of the Institution of Civil Engineers - Structures and Buildings. 176(11). 847–856. 1 indexed citations

11.

Roy, Atin & Subrata Chakraborty. (2021). Reliability analysis of structures by a three-stage sequential sampling based adaptive support vector regression model. Reliability Engineering & System Safety. 219. 108260–108260. 35 indexed citations

12.

Roy, Atin & Subrata Chakraborty. (2020). Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures. Reliability Engineering & System Safety. 200. 106948–106948. 84 indexed citations

13.

Roy, Atin, et al.. (2020). A generalized moving least square–based response surface method for efficient reliability analysis of structure. Structural and Multidisciplinary Optimization. 63(3). 1085–1097. 13 indexed citations

14.

Ghosh, Shyamal, Atin Roy, & Subrata Chakraborty. (2019). Kriging Metamodeling-Based Monte Carlo Simulation for Improved Seismic Fragility Analysis of Structures. Journal of Earthquake Engineering. 25(7). 1316–1336. 27 indexed citations

15.

Ghosh, Shyamal, Atin Roy, & Subrata Chakraborty. (2018). Support vector regression based metamodeling for seismic reliability analysis of structures. Applied Mathematical Modelling. 64. 584–602. 67 indexed citations

16.

Roy, Atin, et al.. (2018). Support vector regression based metamodeling for structural reliability analysis. Probabilistic Engineering Mechanics. 55. 78–89. 104 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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