Subham Gupta

448 citations
15 papers · 145 · h-index 6

Impact in

Papers in

Subham Gupta

12 papers receiving 142 citations

Peers

Subham Gupta
Comparison fields: 5 of 44
  • Statistics, Probability and Uncertainty 44
  • Signal Processing 23
  • Computer Networks and Communications 47
  • Artificial Intelligence 57
  • Computational Theory and Mathematics 19
Replace Liyan Xie with:
Liyan Xie United States
Charlie Vanaret Germany
Farbod Roosta-Khorasani United States
Xinjia Chen United States
N.S. Vichare United States
P. Gopalakrishnan United States
Michele Taragna Italy
E.A. Bloem Netherlands
Alexander Nazin Russia
Albert S. Berahas United States
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Citations per field
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Citations per year

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-authors

The 8 scholars most cited alongside Subham Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subham Gupta Line = papers co-authored together Subham Gupta links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202252
2
Sensitivity/uncertainty analysis of a borehole scenario comparing Latin Hypercube Sampling and deterministic sensitivity approaches
198325
3 202223
4 201816
5 20237
6 20246
7 20185
8 20213
9 20212
10 20212
11
HYDROCOIN (hydrologic code intercomparison) Level 1: Benchmarking and verification test results with CFEST (Coupled Fluid, Energy, and Solute Transport) code
19882
12 20201
13 20221
14 20230
15 20240

About Subham Gupta

Subham Gupta is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 15 papers that have together received 145 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (7 papers), Structural Health Monitoring Techniques (4 papers), Structural Response to Dynamic Loads (3 papers), Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Groundwater flow and contamination studies (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (44 citations), Signal Processing (23 citations), Computer Networks and Communications (47 citations), Artificial Intelligence (57 citations) and Computational Theory and Mathematics (19 citations). Subham Gupta has collaborated with scholars based in United States and India. Frequent co-authors include Meenakshi Tripathi, Jyoti Grover, William V. Harper, Mishal Thapa, Sameer B. Mulani, Robert W. Walters, Steven B. Yabusaki and Robert Walters. Their work appears in journals such as Aerospace Science and Technology, Computers & Electrical Engineering, Computer Methods in Applied Mechanics and Engineering, Advances in intelligent systems and computing and AIAA SCITECH 2022 Forum.

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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