Ramayan Singh
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Thin Films
- Mechanical Engineering top 5%
- Heat Transfer Mechanisms
- Heat Transfer and Optimization
Papers in
-
- Fluid Dynamics and Turbulent Flows 12
- Fluid Dynamics and Thin Films 3
-
- Heat Transfer Mechanisms 12
- Advanced materials and composites 2
- Co-authors
- Amit Kumar (12 shared papers)Rajat Tripathi (11 shared papers)Vikas Chaurasiya (2 shared papers)M. Ijaz Khan (1 shared paper)M. Waqas (1 shared paper)Tasawar Hayat (1 shared paper)G. S. Seth (3 shared papers)S.K. Mishra (3 shared papers)
In The Last Decade
Ramayan Singh
20 papers receiving 492 citations
Peers
Comparison fields: 5 of 49
- Computational Mechanics 318
- Mechanical Engineering 374
- Biomedical Engineering 437
- Fluid Flow and Transfer Processes 32
- Modeling and Simulation 8
Countries citing papers authored by Ramayan Singh
This map shows the geographic impact of Ramayan Singh'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 Ramayan Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramayan Singh more than expected).
Fields of papers citing papers by Ramayan Singh
This network shows the impact of papers produced by Ramayan Singh. 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 Ramayan Singh. The network helps show where Ramayan Singh may publish in the future.
Co-authors
The 15 scholars most cited alongside Ramayan Singh, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 136 | |
| 2 | 2020 | 101 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 35 | |
| 7 | 2017 | 23 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2016 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Ramayan Singh
Ramayan Singh is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Mechanics of Materials and Materials Chemistry, having authored 21 papers that have together received 517 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (15 papers), Heat Transfer Mechanisms (12 papers), Fluid Dynamics and Turbulent Flows (12 papers), Fluid Dynamics and Thin Films (3 papers), Metal and Thin Film Mechanics (3 papers), Diamond and Carbon-based Materials Research (3 papers), Multi-Criteria Decision Making (2 papers) and Advanced materials and composites (2 papers). The work is most often cited by research in Computational Mechanics (318 citations), Mechanical Engineering (374 citations), Biomedical Engineering (437 citations), Fluid Flow and Transfer Processes (32 citations) and Modeling and Simulation (8 citations). Ramayan Singh has collaborated with scholars based in India, Russia and Japan. Frequent co-authors include Amit Kumar, Rajat Tripathi, Vikas Chaurasiya, M. Ijaz Khan, M. Waqas, Tasawar Hayat, G. S. Seth, S.K. Mishra, Ranjan Kumar and L. C. Pathak. Their work appears in journals such as Numerical Heat Transfer Part A Applications, Mathematical Methods in the Applied Sciences, Surface and Coatings Technology, Physica A Statistical Mechanics and its Applications and Waves in Random and Complex Media.
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.