Prashanta Kumar Mandal
- Computational Mechanics top 1%
- Biomedical Engineering top 5%
- Fluid Flow and Transfer Processes top 1%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- S. ChakravartySantabrata ChakravartyNorsarahaida AminNorzieha MustaphaSarifuddin SarifuddinArabinda MandalJ. MazumdarKelvin K. L. Wong
- Topics
- Rheology and Fluid Dynamics Studies (16 papers)Coronary Interventions and Diagnostics (15 papers)Fluid Dynamics and Turbulent Flows (12 papers)
In The Last Decade
Prashanta Kumar Mandal
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 53
- Computational Mechanics 768
- Biomedical Engineering 708
- Fluid Flow and Transfer Processes 477
- Surgery 432
- Cardiology and Cardiovascular Medicine 218
Countries citing papers authored by Prashanta Kumar Mandal
This map shows the geographic impact of Prashanta Kumar Mandal'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 Prashanta Kumar Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanta Kumar Mandal more than expected).
Fields of papers citing papers by Prashanta Kumar Mandal
This network shows the impact of papers produced by Prashanta Kumar Mandal. 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 Prashanta Kumar Mandal. The network helps show where Prashanta Kumar Mandal may publish in the future.
Co-authorship network of co-authors of Prashanta Kumar Mandal
This figure shows the co-authorship network connecting the top 25 collaborators of Prashanta Kumar Mandal. A scholar is included among the top collaborators of Prashanta Kumar Mandal 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 Prashanta Kumar Mandal. Prashanta Kumar Mandal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 30 | |
| 3 | 45 | |
| 4 | 14 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 99 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 40 | |
| 11 | 87 | |
| 12 | 40 | |
| 13 | 267 | |
| 14 | 7 | |
| 15 | 112 | |
| 16 | 21 | |
| 17 | 31 | |
| 18 | 12 | |
| 19 | 63 | |
| 20 | 29 |
About Prashanta Kumar Mandal
Prashanta Kumar Mandal is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (16 papers), Coronary Interventions and Diagnostics (15 papers) and Fluid Dynamics and Turbulent Flows (12 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (477 citations), Computational Mechanics (768 citations) and Biomedical Engineering (708 citations). Prashanta Kumar Mandal has collaborated with scholars based in India, Malaysia and Australia. Frequent co-authors include S. Chakravarty, Santabrata Chakravarty, Norsarahaida Amin, Norzieha Mustapha, Sarifuddin Sarifuddin, Arabinda Mandal, J. Mazumdar, Kelvin K. L. Wong, Peter R. Johnston and S. Chakravarty. Their work appears in journals such as International Journal of Heat and Mass Transfer, Applied Mathematics and Computation and International Journal of Engineering 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.