Subham Gupta

435 citations
12 papers · 120 · h-index 6

Impact in

Papers in

Subham Gupta

10 papers receiving 116 citations

Peers

Subham Gupta
Comparison fields: 5 of 40
  • Statistics, Probability and Uncertainty 40
  • Computer Networks and Communications 42
  • Signal Processing 19
  • Artificial Intelligence 49
  • Computational Theory and Mathematics 18
Replace Liyan Xie with:
Liyan Xie United States
P. Gopalakrishnan United States
Xinjia Chen United States
Salar Fattahi United States
Andreas Venzke Denmark
Albert S. Berahas United States
H. Ye China
Albena Tchamova Bulgaria
Laurent Zwald France
Tianzhe Wang China
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Citations per field
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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 7 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

12 of 12 papers shown
#Work
1 202245
2
Sensitivity/uncertainty analysis of a borehole scenario comparing Latin Hypercube Sampling and deterministic sensitivity approaches
198322
3 202219
4 201811
5 20236
6 20245
7 20184
8 20213
9 20212
10
HYDROCOIN (hydrologic code intercomparison) Level 1: Benchmarking and verification test results with CFEST (Coupled Fluid, Energy, and Solute Transport) code
19882
11 20201
12 20230

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 12 papers that have together received 120 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Structural Health Monitoring Techniques (4 papers), Advanced Malware Detection Techniques (3 papers), Structural Response to Dynamic Loads (3 papers), Network Security and Intrusion Detection (3 papers), Groundwater flow and contamination studies (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (40 citations), Computer Networks and Communications (42 citations), Signal Processing (19 citations), Artificial Intelligence (49 citations) and Computational Theory and Mathematics (18 citations). Subham Gupta has collaborated with scholars based in United States and India. Frequent co-authors include Meenakshi Tripathi, Jyoti Grover, William V. Harper, Robert W. Walters, Mishal Thapa, Sameer B. Mulani and Steven B. Yabusaki. Their work appears in journals such as Aerospace Science and Technology, Computers & Electrical Engineering, Computer Methods in Applied Mechanics and Engineering, AIAA AVIATION 2020 FORUM and AIAA SCITECH 2023 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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