Veera Sundararaghavan
- Mechanics of Materials top 0.5%
- Composite Material Mechanics 18
- Metallurgy and Material Forming 18
- Numerical methods in engineering 16
- Metals and Alloys top 5%
- Mechanical Engineering top 1%
- Aluminum Alloys Composites Properties 15
- Materials Chemistry top 5%
- Microstructure and mechanical properties 25
- Machine Learning in Materials Science 13
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- Magnesium Alloys: Properties and Applications 16
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- Topology Optimization in Engineering 12
- Co-authors
- Nicholas ZabarasPınar AcarJohn E. AllisonMohammadreza YaghoobiAbhishek KumarAaditya LakshmananAnthony M. WaasAli Ramazani
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Veera Sundararaghavan
124 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 89
- Mechanics of Materials 1.4k
- Metals and Alloys 116
- Mechanical Engineering 1.3k
- Materials Chemistry 1.4k
- Statistics, Probability and Uncertainty 191
Countries citing papers authored by Veera Sundararaghavan
This map shows the geographic impact of Veera Sundararaghavan'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 Veera Sundararaghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veera Sundararaghavan more than expected).
Fields of papers citing papers by Veera Sundararaghavan
This network shows the impact of papers produced by Veera Sundararaghavan. 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 Veera Sundararaghavan. The network helps show where Veera Sundararaghavan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veera Sundararaghavan, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 60 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 46 | |
| 12 | 2020 | 29 | |
| 13 | 2018 | 68 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2017 | 35 | |
| 17 | 2015 | 4 | |
| 18 | 2014 | 81 | |
| 19 | 2013 | 34 | |
| 20 | 2013 | 28 |
About Veera Sundararaghavan
Veera Sundararaghavan is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty and Mechanical Engineering, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microstructure and mechanical properties (25 papers), Composite Material Mechanics (18 papers), Metallurgy and Material Forming (18 papers), Magnesium Alloys: Properties and Applications (16 papers), Numerical methods in engineering (16 papers), Aluminum Alloys Composites Properties (15 papers), Machine Learning in Materials Science (13 papers) and Topology Optimization in Engineering (12 papers). The work is most often cited by research in Mechanics of Materials (1.4k citations), Metals and Alloys (116 citations) and Mechanical Engineering (1.3k citations). Veera Sundararaghavan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Nicholas Zabaras, Pınar Acar, John E. Allison, Mohammadreza Yaghoobi, Abhishek Kumar, Aaditya Lakshmanan, Anthony M. Waas, Ali Ramazani, Ankit Agrawal and Samantha Daly. Their work appears in journals such as Science, Applied Physics Letters and Physical Review B.
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.