Kalpna Sharma
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Fluid Flow and Transfer Processes top 10%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Sumit GuptaRifaqat AliDharmendra TripathiHamza BerrehalMohamed AbbasK. LoganathanPooja SharmaNazek Alessa
- Topics
- Nanofluid Flow and Heat Transfer (37 papers)Fluid Dynamics and Turbulent Flows (24 papers)Heat Transfer Mechanisms (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityPhysics of Fluids
- Partner nations
- IndiaSaudi ArabiaAlgeria
In The Last Decade
Kalpna Sharma
32 papers receiving 297 citations
Peers
Comparison fields: 5 of 47
- Biomedical Engineering 281
- Computational Mechanics 207
- Mechanical Engineering 199
- Fluid Flow and Transfer Processes 33
- Renewable Energy, Sustainability and the Environment 14
Countries citing papers authored by Kalpna Sharma
This map shows the geographic impact of Kalpna Sharma'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 Kalpna Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalpna Sharma more than expected).
Fields of papers citing papers by Kalpna Sharma
This network shows the impact of papers produced by Kalpna Sharma. 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 Kalpna Sharma. The network helps show where Kalpna Sharma may publish in the future.
Co-authorship network of co-authors of Kalpna Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Kalpna Sharma. A scholar is included among the top collaborators of Kalpna Sharma 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 Kalpna Sharma. Kalpna Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 41 | |
| 19 | Analytical study of MHD boundary layer flow and heat transfer towards a porous exponentially stretching sheet in presence of thermal radiation | 8 |
| 20 | 38 |
About Kalpna Sharma
Kalpna Sharma is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering, having authored 43 papers that have together received 318 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (37 papers), Fluid Dynamics and Turbulent Flows (24 papers) and Heat Transfer Mechanisms (18 papers). The work is most often cited by research in Computational Mechanics (207 citations), Biomedical Engineering (281 citations) and Fluid Flow and Transfer Processes (33 citations). Kalpna Sharma has collaborated with scholars based in India, Saudi Arabia and Algeria. Frequent co-authors include Sumit Gupta, Rifaqat Ali, Sumit Gupta, Dharmendra Tripathi, Hamza Berrehal, Mohamed Abbas, K. Loganathan, Pooja Sharma, Nazek Alessa and Ali J. Chamkha. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Physics of Fluids.
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.