Subham Gupta

435 total citations
12 papers, 120 citations indexed

About

Subham Gupta is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Subham Gupta has authored 12 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics, Probability and Uncertainty, 5 papers in Civil and Structural Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Subham Gupta's work include Probabilistic and Robust Engineering Design (6 papers), Structural Health Monitoring Techniques (4 papers) and Structural Response to Dynamic Loads (3 papers). Subham Gupta is often cited by papers focused on Probabilistic and Robust Engineering Design (6 papers), Structural Health Monitoring Techniques (4 papers) and Structural Response to Dynamic Loads (3 papers). Subham Gupta collaborates with scholars based in United States and India. Subham Gupta's co-authors include Meenakshi Tripathi, Jyoti Grover, William V. Harper, Mishal Thapa, Robert W. Walters, Sameer B. Mulani and Steven B. Yabusaki and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Aerospace Science and Technology and Computers & Electrical Engineering.

In The Last Decade

Subham Gupta

10 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subham Gupta United States 6 49 42 40 19 18 12 120
Liyan Xie United States 7 74 1.5× 23 0.5× 73 1.8× 21 1.1× 15 0.8× 22 217
Albert S. Berahas United States 8 106 2.2× 62 1.5× 6 0.1× 5 0.3× 6 0.3× 20 210
Albena Tchamova Bulgaria 7 103 2.1× 18 0.4× 15 0.4× 13 0.7× 4 0.2× 32 164
Mark A. Peot United States 8 188 3.8× 53 1.3× 11 0.3× 14 0.7× 2 0.1× 16 235
Laurent Zwald France 4 52 1.1× 3 0.1× 17 0.4× 18 0.9× 5 0.3× 5 192
Xinjia Chen United States 9 30 0.6× 13 0.3× 42 1.1× 6 0.3× 3 0.2× 46 202
Samory Kpotufe United States 9 120 2.4× 32 0.8× 2 0.1× 14 0.7× 10 0.6× 26 217
George Tadda United States 5 70 1.4× 56 1.3× 11 0.3× 13 0.7× 6 0.3× 6 141
Ky Vu France 4 34 0.7× 8 0.2× 23 0.6× 17 0.9× 5 139
Salar Fattahi United States 9 37 0.8× 33 0.8× 8 0.2× 3 0.2× 10 0.6× 26 208

Countries citing papers authored by Subham Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Subham Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subham Gupta

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

All Works

12 of 12 papers shown
1.
Thapa, Mishal, et al.. (2024). Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification. Computer Methods in Applied Mechanics and Engineering. 422. 116829–116829. 5 indexed citations
3.
Gupta, Subham, et al.. (2023). Optimal sampling-based neural networks for uncertainty quantification and stochastic optimization. Aerospace Science and Technology. 133. 108109–108109. 6 indexed citations
4.
Gupta, Subham, Meenakshi Tripathi, & Jyoti Grover. (2022). Hybrid optimization and deep learning based intrusion detection system. Computers & Electrical Engineering. 100. 107876–107876. 45 indexed citations
5.
Gupta, Subham, et al.. (2022). Higher-order Taylor series expansion for uncertainty quantification with efficient local sensitivity. Aerospace Science and Technology. 126. 107574–107574. 19 indexed citations
6.
Gupta, Subham, Meenakshi Tripathi, & Jyoti Grover. (2021). Towards an Effective Intrusion Detection System using Machine Learning techniques: Comprehensive Analysis and Review. 1–6. 2 indexed citations
7.
Tripathi, Meenakshi, et al.. (2021). Leveraging LSTM-RNN combined with SVM for Network Intrusion Detection. 26–31. 3 indexed citations
8.
Thapa, Mishal, et al.. (2020). Higher-Order Taylor Series Expansion with Efficient Sensitivity Estimation for Uncertainty Analysis. AIAA AVIATION 2020 FORUM. 1 indexed citations
9.
Gupta, Subham, et al.. (2018). A Survey on Moving Object Detection and Tracking Based On Background Subtraction. 2018. 55–62. 4 indexed citations
10.
11.
Yabusaki, Steven B., et al.. (1988). HYDROCOIN (hydrologic code intercomparison) Level 1: Benchmarking and verification test results with CFEST (Coupled Fluid, Energy, and Solute Transport) code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
12.
Harper, William V. & Subham Gupta. (1983). Sensitivity/uncertainty analysis of a borehole scenario comparing Latin Hypercube Sampling and deterministic sensitivity approaches. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 22 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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