Somdatta Goswami
- Mechanics of Materials top 1%
- Statistical and Nonlinear Physics top 1%
- Civil and Structural Engineering top 1%
- Mechanical Engineering top 5%
- Computational Mechanics top 2%
- Co-authors
- Cosmin AnitescuTimon RabczukKhader M. HamdiaEsteban SamaniegoHongwei GuoXiaoying ZhuangGeorge Em KarniadakisYue Yu
- Topics
- Model Reduction and Neural Networks (17 papers)Numerical methods in engineering (8 papers)Probabilistic and Robust Engineering Design (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyMechanics of Materials
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Somdatta Goswami
29 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Mechanics of Materials 1.0k
- Statistical and Nonlinear Physics 733
- Civil and Structural Engineering 732
- Mechanical Engineering 481
- Computational Mechanics 478
Countries citing papers authored by Somdatta Goswami
This map shows the geographic impact of Somdatta Goswami'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 Somdatta Goswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somdatta Goswami more than expected).
Fields of papers citing papers by Somdatta Goswami
This network shows the impact of papers produced by Somdatta Goswami. 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 Somdatta Goswami. The network helps show where Somdatta Goswami may publish in the future.
Co-authorship network of co-authors of Somdatta Goswami
This figure shows the co-authorship network connecting the top 25 collaborators of Somdatta Goswami. A scholar is included among the top collaborators of Somdatta Goswami 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 Somdatta Goswami. Somdatta Goswami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 31 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 33 | |
| 15 | 31 | |
| 16 | 7 | |
| 17 | 101 | |
| 18 | 21 | |
| 19 | A physics-informed variational DeepONet for predicting crack path in quasi-brittle materialsbreakdown → | 249 |
| 20 | An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applicationsbreakdown → | 1392 |
About Somdatta Goswami
Somdatta Goswami is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 34 papers that have together received 2.6k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (17 papers), Numerical methods in engineering (8 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (733 citations), Statistics, Probability and Uncertainty (304 citations) and Mechanics of Materials (1.0k citations). Somdatta Goswami has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Cosmin Anitescu, Timon Rabczuk, Khader M. Hamdia, Esteban Samaniego, Hongwei Guo, Xiaoying Zhuang, George Em Karniadakis, Yue Yu, Minglang Yin and Subrata Chakraborty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.
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.