Tapas Tripura

747 total citations
25 papers, 468 citations indexed

About

Tapas Tripura is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Civil and Structural Engineering. According to data from OpenAlex, Tapas Tripura has authored 25 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 11 papers in Statistical and Nonlinear Physics and 10 papers in Civil and Structural Engineering. Recurrent topics in Tapas Tripura's work include Probabilistic and Robust Engineering Design (12 papers), Model Reduction and Neural Networks (11 papers) and Structural Health Monitoring Techniques (10 papers). Tapas Tripura is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Model Reduction and Neural Networks (11 papers) and Structural Health Monitoring Techniques (10 papers). Tapas Tripura collaborates with scholars based in India, Ireland and United States. Tapas Tripura's co-authors include Souvik Chakraborty, Budhaditya Hazra, Vikram Pakrashi, Basuraj Bhowmik, Somdatta Goswami, George Em Karniadakis, Sondipon Adhikari, Rajdip Nayek, Hariprasad Kodamana and Sitikantha Roy and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Computer Physics Communications and Journal of Sound and Vibration.

In The Last Decade

Tapas Tripura

23 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tapas Tripura India 12 186 140 104 83 79 25 468
Zhilu Lai China 13 487 2.6× 178 1.3× 123 1.2× 66 0.8× 84 1.1× 32 702
Konstantinos Tatsis Switzerland 13 295 1.6× 54 0.4× 90 0.9× 36 0.4× 71 0.9× 36 417
R. Fuentes United Kingdom 9 178 1.0× 51 0.4× 85 0.8× 41 0.5× 64 0.8× 18 366
Yigit Yucesan United States 10 97 0.5× 82 0.6× 204 2.0× 54 0.7× 46 0.6× 16 438
Marco Tezzele Italy 11 60 0.3× 166 1.2× 27 0.3× 44 0.5× 77 1.0× 20 353
Tingwei Ji China 11 61 0.3× 224 1.6× 46 0.4× 41 0.5× 80 1.0× 32 569
Umberto Iemma Italy 15 98 0.5× 38 0.3× 33 0.3× 76 0.9× 174 2.2× 111 850
Lei Hu China 11 42 0.2× 64 0.5× 164 1.6× 26 0.3× 58 0.7× 57 423
Tanmoy Chatterjee United Kingdom 13 194 1.0× 37 0.3× 37 0.4× 29 0.3× 233 2.9× 31 509
Antoine Blanchard United States 13 171 0.9× 64 0.5× 167 1.6× 26 0.3× 34 0.4× 24 411

Countries citing papers authored by Tapas Tripura

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Tripura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapas Tripura

This figure shows the co-authorship network connecting the top 25 collaborators of Tapas Tripura. A scholar is included among the top collaborators of Tapas Tripura 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 Tapas Tripura. Tapas Tripura 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.
Tripura, Tapas, et al.. (2025). Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator. Computer Physics Communications. 316. 109755–109755.
2.
Tripura, Tapas, et al.. (2024). A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data. Mechanical Systems and Signal Processing. 221. 111737–111737. 1 indexed citations
3.
Tripura, Tapas, et al.. (2024). Multi-fidelity wavelet neural operator surrogate model for time-independent and time-dependent reliability analysis. Probabilistic Engineering Mechanics. 77. 103672–103672. 3 indexed citations
4.
Tripura, Tapas, et al.. (2023). Fault detection and isolation using probabilistic wavelet neural operator auto-encoder with application to dynamic processes. Process Safety and Environmental Protection. 173. 215–228. 16 indexed citations
5.
Tripura, Tapas, et al.. (2023). Physics informed WNO. Computer Methods in Applied Mechanics and Engineering. 418. 116546–116546. 5 indexed citations
6.
Tripura, Tapas, et al.. (2023). A wavelet neural operator based elastography for localization and quantification of tumors. Computer Methods and Programs in Biomedicine. 232. 107436–107436. 12 indexed citations
7.
Tripura, Tapas, et al.. (2023). Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems. Computers & Structures. 281. 107008–107008. 24 indexed citations
8.
Tripura, Tapas, et al.. (2023). A Bayesian framework for learning governing partial differential equation from data. Physica D Nonlinear Phenomena. 456. 133927–133927. 9 indexed citations
9.
Goswami, Somdatta, et al.. (2023). Deep neural operators can predict the real-time response of floating offshore structures under irregular waves. Computers & Structures. 291. 107228–107228. 33 indexed citations
10.
Tripura, Tapas, Budhaditya Hazra, & Souvik Chakraborty. (2023). Novel Girsanov correction based Milstein schemes for analysis of nonlinear multi-dimensional stochastic dynamical systems. Applied Mathematical Modelling. 122. 350–372. 1 indexed citations
11.
Tripura, Tapas & Souvik Chakraborty. (2023). Discovering interpretable Lagrangian of dynamical systems from data. Computer Physics Communications. 294. 108960–108960. 4 indexed citations
12.
Tripura, Tapas, et al.. (2023). MAntRA: A framework for model agnostic reliability analysis. Reliability Engineering & System Safety. 235. 109233–109233. 11 indexed citations
13.
Tripura, Tapas & Souvik Chakraborty. (2022). Wavelet Neural Operator for solving parametric partial differential equations in computational mechanics problems. Computer Methods in Applied Mechanics and Engineering. 404. 115783–115783. 91 indexed citations
14.
Tripura, Tapas & Souvik Chakraborty. (2022). A sparse Bayesian framework for discovering interpretable nonlinear stochastic dynamical systems with Gaussian white noise. Mechanical Systems and Signal Processing. 187. 109939–109939. 18 indexed citations
15.
Tripura, Tapas, et al.. (2022). Change of Measure Enhanced Near-Exact Euler–Maruyama Scheme for the Solution to Nonlinear Stochastic Dynamical Systems. Journal of Engineering Mechanics. 148(6). 8 indexed citations
16.
Tripura, Tapas, et al.. (2021). Online damage detection of earthquake-excited structure based on near real-time envelope extraction. Structural Health Monitoring. 21(2). 298–319. 8 indexed citations
17.
Tripura, Tapas, et al.. (2020). An Ito–Taylor weak 3.0 method for stochastic dynamics of nonlinear systems. Applied Mathematical Modelling. 86. 115–141. 24 indexed citations
18.
Tripura, Tapas, et al.. (2020). First-Order Error-Adapted Eigen Perturbation for Real-Time Modal Identification of Vibrating Structures. Journal of vibration and acoustics. 143(5). 14 indexed citations
19.
Bhowmik, Basuraj, Tapas Tripura, Budhaditya Hazra, & Vikram Pakrashi. (2019). Real time structural modal identification using recursive canonical correlation analysis and application towards online structural damage detection. Journal of Sound and Vibration. 468. 115101–115101. 70 indexed citations
20.
Bhowmik, Basuraj, Tapas Tripura, Budhaditya Hazra, & Vikram Pakrashi. (2019). First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications. Applied Mechanics Reviews. 71(6). 58 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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