R. Srinivasan
- Mechanical Engineering top 10%
- Materials Chemistry
- Mechanics of Materials top 10%
- Biomedical Engineering
- Polymers and Plastics
- Co-authors
- Steven R. AuvilEli RuckensteinC.S. HartleyJoan M. SchorkE. ThandapaniBruce A. FinlaysonM. Syed AliGrienggrai Rajchakit
- Topics
- Neural Networks Stability and Synchronization (7 papers)Nonlinear Differential Equations Analysis (5 papers)Neural Networks and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Colloid and Interface ScienceJournal of Membrane Science
- Partner nations
- IndiaUnited StatesThailand
In The Last Decade
R. Srinivasan
26 papers receiving 435 citations
Peers
Comparison fields: 5 of 79
- Mechanical Engineering 214
- Materials Chemistry 100
- Mechanics of Materials 90
- Biomedical Engineering 89
- Polymers and Plastics 59
Countries citing papers authored by R. Srinivasan
This map shows the geographic impact of R. Srinivasan'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 R. Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Srinivasan more than expected).
Fields of papers citing papers by R. Srinivasan
This network shows the impact of papers produced by R. Srinivasan. 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 R. Srinivasan. The network helps show where R. Srinivasan may publish in the future.
Co-authorship network of co-authors of R. Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of R. Srinivasan. A scholar is included among the top collaborators of R. Srinivasan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Srinivasan. R. Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 187 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 24 | |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | 47 |
About R. Srinivasan
R. Srinivasan is a scholar working on Applied Mathematics, Numerical Analysis and Fluid Flow and Transfer Processes, having authored 28 papers that have together received 454 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (7 papers), Nonlinear Differential Equations Analysis (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Mechanical Engineering (214 citations), Numerical Analysis (25 citations) and Polymers and Plastics (59 citations). R. Srinivasan has collaborated with scholars based in India, United States and Thailand. Frequent co-authors include Steven R. Auvil, Eli Ruckenstein, C.S. Hartley, Joan M. Schork, E. Thandapani, Bruce A. Finlayson, M. Syed Ali, Grienggrai Rajchakit, Martin Böhner and George E. Chatzarakis. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Colloid and Interface Science and Journal of Membrane Science.
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.