Sambit Das
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Machine Learning in Materials Science 3
- Microstructure and mechanical properties 2
-
- Semiconductor materials and devices 4
- Ferroelectric and Negative Capacitance Devices 2
- Co-authors
- Vikram Gavini (12 shared papers)Hovav Shacham (1 shared paper)Phani Motamarri (4 shared papers)Denis Davydov (1 shared paper)Krishnendu Ghosh (1 shared paper)Shiva Rudraraju (1 shared paper)Ravindra Jategaonkar (1 shared paper)Wenyuan Liao (1 shared paper)
- Journals
- Physical review. B. (2 papers)Journal of Computational and Nonlinear Dynamics (2 papers)Physical Review Materials (1 paper)The Journal of Chemical Physics (1 paper)Journal of Guidance Control and Dynamics (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sambit Das
23 papers receiving 754 citations
Peers
Comparison fields: 5 of 68
- Automotive Engineering 221
- Computational Mathematics 6
- Mechanical Engineering 342
- Metals and Alloys 23
- Hardware and Architecture 31
Countries citing papers authored by Sambit Das
This map shows the geographic impact of Sambit Das'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 Sambit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sambit Das more than expected).
Fields of papers citing papers by Sambit Das
This network shows the impact of papers produced by Sambit Das. 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 Sambit Das. The network helps show where Sambit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sambit Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 345 | |
| 2 | 2011 | 104 | |
| 3 | 2019 | 98 | |
| 4 | 2019 | 36 | |
| 5 | 2010 | 31 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 24 | |
| 8 | 2013 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2019 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2025 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2006 | 3 | |
| 20 | 2012 | 3 |
About Sambit Das
Sambit Das is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Mechanics of Materials and Condensed Matter Physics, having authored 23 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (4 papers), Semiconductor materials and devices (4 papers), Machine Learning in Materials Science (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Metal and Thin Film Mechanics (2 papers), Fractional Differential Equations Solutions (2 papers), Microstructure and mechanical properties (2 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Automotive Engineering (221 citations), Computational Mathematics (6 citations), Mechanical Engineering (342 citations), Metals and Alloys (23 citations) and Hardware and Architecture (31 citations). Sambit Das has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Vikram Gavini, Hovav Shacham, Phani Motamarri, Denis Davydov, Krishnendu Ghosh, Shiva Rudraraju, Ravindra Jategaonkar, Wenyuan Liao, Ying Wai Li and Liang Qi. Their work appears in journals such as Physical review. B., Journal of Computational and Nonlinear Dynamics, Physical Review Materials, The Journal of Chemical Physics and Journal of Guidance Control and Dynamics.
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.