Ashwin Rai
Impact in
- Mechanics of Materials top 10%
- Composite Material Mechanics
- Mechanical Behavior of Composites
Papers in
-
- Composite Material Mechanics 7
- Mechanical Behavior of Composites 5
-
- Carbon Nanotubes in Composites 8
- Co-authors
- Aditi Chattopadhyay (26 shared papers)Nithya Subramanian (11 shared papers)Guoyi Li (6 shared papers)Travis Skinner (2 shared papers)Bonsung Koo (3 shared papers)S. K. Datta (3 shared papers)L. A. J. Garvie (3 shared papers)Erik Asphaug (2 shared papers)
- Journals
- Carbon (3 papers)Composite Structures (2 papers)Journal of Composite Materials (1 paper)Advanced Engineering Informatics (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Ashwin Rai
28 papers receiving 362 citations
Peers
Comparison fields: 5 of 66
- Mechanics of Materials 98
- Statistics, Probability and Uncertainty 27
- Ceramics and Composites 22
- Polymers and Plastics 40
- Astronomy and Astrophysics 44
Countries citing papers authored by Ashwin Rai
This map shows the geographic impact of Ashwin Rai'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 Ashwin Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Rai more than expected).
Fields of papers citing papers by Ashwin Rai
This network shows the impact of papers produced by Ashwin Rai. 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 Ashwin Rai. The network helps show where Ashwin Rai may publish in the future.
Co-authors
The 11 scholars most cited alongside Ashwin Rai, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2016 | 47 | |
| 3 | 2015 | 39 | |
| 4 | 2020 | 36 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 20 | |
| 7 | 2016 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2023 | 2 |
About Ashwin Rai
Ashwin Rai is a scholar working on Mechanics of Materials, Materials Chemistry, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 29 papers that have together received 366 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (8 papers), Composite Material Mechanics (7 papers), Force Microscopy Techniques and Applications (6 papers), Fault Detection and Control Systems (6 papers), Polymer crystallization and properties (5 papers), Mechanical Behavior of Composites (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Risk and Safety Analysis (3 papers). The work is most often cited by research in Mechanics of Materials (98 citations), Statistics, Probability and Uncertainty (27 citations), Ceramics and Composites (22 citations), Polymers and Plastics (40 citations) and Astronomy and Astrophysics (44 citations). Ashwin Rai has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Aditi Chattopadhyay, Nithya Subramanian, Guoyi Li, Travis Skinner, Bonsung Koo, S. K. Datta, L. A. J. Garvie, Erik Asphaug, G. Jeyakumar and Fazle Rabbi. Their work appears in journals such as Carbon, Composite Structures, Journal of Composite Materials, Advanced Engineering Informatics and IEEE Sensors Journal.
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.