Sambit Kumar Das
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Mechanical Engineering top 5%
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Welding Techniques and Residual Stresses
Papers in
-
- Machine Learning in Materials Science 5
- Microstructure and mechanical properties 3
- Boron and Carbon Nanomaterials Research 2
- Co-authors
- Vikram Gavini (15 shared papers)Hovav Shacham (1 shared paper)Phani Motamarri (4 shared papers)Shiva Rudraraju (1 shared paper)Krishnendu Ghosh (1 shared paper)Denis V. Davydov (1 shared paper)Ravindra Jategaonkar (1 shared paper)Liang Qi (1 shared paper)
- Journals
- Physical review. B. (2 papers)The Journal of Chemical Physics (2 papers)Journal of Computational and Nonlinear Dynamics (2 papers)Journal of Guidance Control and Dynamics (1 paper)Thin Solid Films (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sambit Kumar Das
27 papers receiving 930 citations
Peers
Comparison fields: 5 of 78
- Automotive Engineering 242
- Mechanical Engineering 387
- Metals and Alloys 26
- Computational Mathematics 6
- Hardware and Architecture 40
Countries citing papers authored by Sambit Kumar Das
This map shows the geographic impact of Sambit Kumar 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 Kumar 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 Kumar Das more than expected).
Fields of papers citing papers by Sambit Kumar Das
This network shows the impact of papers produced by Sambit Kumar 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 Kumar Das. The network helps show where Sambit Kumar Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sambit Kumar 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 376 | |
| 2 | 2011 | 126 | |
| 3 | 2019 | 103 | |
| 4 | 2023 | 57 | |
| 5 | 2019 | 42 | |
| 6 | 2018 | 34 | |
| 7 | 2010 | 32 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 25 | |
| 11 | 2013 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2012 | 5 |
About Sambit Kumar Das
Sambit Kumar Das is a scholar working on Materials Chemistry, Condensed Matter Physics, Mechanics of Materials, Modeling and Simulation and Numerical Analysis, having authored 28 papers that have together received 969 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Semiconductor materials and devices (5 papers), Advanced Chemical Physics Studies (4 papers), Advanced NMR Techniques and Applications (3 papers), Microstructure and mechanical properties (3 papers), Metal and Thin Film Mechanics (3 papers), Boron and Carbon Nanomaterials Research (2 papers) and Fractional Differential Equations Solutions (2 papers). The work is most often cited by research in Automotive Engineering (242 citations), Mechanical Engineering (387 citations), Metals and Alloys (26 citations), Computational Mathematics (6 citations) and Hardware and Architecture (40 citations). Sambit Kumar Das has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Vikram Gavini, Hovav Shacham, Phani Motamarri, Shiva Rudraraju, Krishnendu Ghosh, Denis V. Davydov, Ravindra Jategaonkar, Liang Qi, Ying Wai Li and Bruno Turcksin. Their work appears in journals such as Physical review. B., The Journal of Chemical Physics, Journal of Computational and Nonlinear Dynamics, Journal of Guidance Control and Dynamics and Thin Solid Films.
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.