Subhayan De
- Civil and Structural Engineering top 10%
- Statistics, Probability and Uncertainty top 2%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Mechanical Engineering
- Co-authors
- Alireza DoostanKurt MauteSteven F. WojtkiewiczE. A. JohnsonJerrad HamptonMalik HassanalyPatrick T. BrewickRyan King
- Topics
- Probabilistic and Robust Engineering Design (14 papers)Structural Health Monitoring Techniques (6 papers)Model Reduction and Neural Networks (6 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsCivil and Structural Engineering
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringMechanical Systems and Signal Processing
- Partner nations
- United StatesGermany
In The Last Decade
Subhayan De
20 papers receiving 258 citations
Peers
Comparison fields: 5 of 52
- Civil and Structural Engineering 101
- Statistics, Probability and Uncertainty 90
- Statistical and Nonlinear Physics 80
- Computational Theory and Mathematics 60
- Mechanical Engineering 41
Countries citing papers authored by Subhayan De
This map shows the geographic impact of Subhayan De'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 Subhayan De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhayan De more than expected).
Fields of papers citing papers by Subhayan De
This network shows the impact of papers produced by Subhayan De. 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 Subhayan De. The network helps show where Subhayan De may publish in the future.
Co-authorship network of co-authors of Subhayan De
This figure shows the co-authorship network connecting the top 25 collaborators of Subhayan De. A scholar is included among the top collaborators of Subhayan De 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 Subhayan De. Subhayan De is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 49 | |
| 14 | 18 | |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 1 |
About Subhayan De
Subhayan De is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 21 papers that have together received 266 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Structural Health Monitoring Techniques (6 papers) and Model Reduction and Neural Networks (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (90 citations), Statistical and Nonlinear Physics (80 citations) and Civil and Structural Engineering (101 citations). Subhayan De has collaborated with scholars based in United States and Germany. Frequent co-authors include Alireza Doostan, Kurt Maute, Steven F. Wojtkiewicz, E. A. Johnson, Jerrad Hampton, Malik Hassanaly, Patrick T. Brewick, Ryan King, Kenneth E. Jansen and Andrew M. Colclasure. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mechanical Systems and Signal Processing.
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.