Kaushik Bhattacharya
- Materials Chemistry top 0.5%
- Shape Memory Alloy Transformations 46
- Ferroelectric and Piezoelectric Materials 26
- Mechanics of Materials top 0.2%
- Composite Material Mechanics 25
- Adhesion, Friction, and Surface Interactions 19
- Mechanical Engineering top 0.5%
- Advanced Materials and Mechanics 33
- Biomedical Engineering top 0.5%
- Acoustic Wave Resonator Technologies 19
- Advanced Sensor and Energy Harvesting Materials 17
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- Advanced Mathematical Modeling in Engineering 24
Kaushik Bhattacharya
207 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Materials Chemistry 5.0k
- Mechanics of Materials 2.4k
- Electronic, Optical and Magnetic Materials 1.8k
- Mechanical Engineering 2.3k
- Biomedical Engineering 2.7k
Countries citing papers authored by Kaushik Bhattacharya
This map shows the geographic impact of Kaushik Bhattacharya'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 Kaushik Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaushik Bhattacharya more than expected).
Fields of papers citing papers by Kaushik Bhattacharya
This network shows the impact of papers produced by Kaushik Bhattacharya. 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 Kaushik Bhattacharya. The network helps show where Kaushik Bhattacharya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaushik Bhattacharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 27 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 12 | |
| 14 | Fourier Neural Operator for Parametric Partial Differential Equations | 2021 | 123 |
| 15 | Multipole Graph Neural Operator for Parametric Partial Differential Equations | 2020 | 8 |
| 16 | 2018 | 20 | |
| 17 | 2014 | 2 | |
| 18 | 2006 | 21 | |
| 19 | 1994 | 79 | |
| 20 | 1991 | 3 |
About Kaushik Bhattacharya
Kaushik Bhattacharya is a scholar working on Mechanics of Materials, Materials Chemistry and Computational Theory and Mathematics, having authored 211 papers that have together received 8.8k indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (46 papers), Advanced Materials and Mechanics (33 papers), Ferroelectric and Piezoelectric Materials (26 papers), Composite Material Mechanics (25 papers), Advanced Mathematical Modeling in Engineering (24 papers), Acoustic Wave Resonator Technologies (19 papers), Adhesion, Friction, and Surface Interactions (19 papers) and Advanced Sensor and Energy Harvesting Materials (17 papers). The work is most often cited by research in Materials Chemistry (5.0k citations), Mechanics of Materials (2.4k citations) and Electronic, Optical and Magnetic Materials (1.8k citations). Kaushik Bhattacharya has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include G. Ravichandran, Richard D. James, Robert V. Kohn, M. Ortíz, Yi-Chung Shu, M. Warner, Gal deBotton, G. Ravichandran, Kaushik Dayal and Jiangyu Li. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.