Kalidas Das
Impact in
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows
- Heat and Mass Transfer in Porous Media
- Fluid Dynamics and Thin Films
- Lattice Boltzmann Simulation Studies
- Biomedical Engineering top 1%
- Nanofluid Flow and Heat Transfer
Papers in
-
- Nanofluid Flow and Heat Transfer 69
-
- Heat Transfer Mechanisms 51
- Heat Transfer and Optimization 16
- Co-authors
- Prabir Kumar Kundu (39 shared papers)Nilankush Acharya (13 shared papers)Prabir Kumar Kundu (6 shared papers)Fazle Mabood (1 shared paper)Amit Sarkar (4 shared papers)Ram Prakash Sharma (3 shared papers)Liancun Zheng (1 shared paper)Subrata Jana (2 shared papers)
In The Last Decade
Kalidas Das
68 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 34
- Computational Mechanics 1.5k
- Biomedical Engineering 2.1k
- Mechanical Engineering 1.8k
- Fluid Flow and Transfer Processes 118
- Modeling and Simulation 49
Countries citing papers authored by Kalidas Das
This map shows the geographic impact of Kalidas Das'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 Kalidas Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalidas Das more than expected).
Fields of papers citing papers by Kalidas Das
This network shows the impact of papers produced by Kalidas Das. 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 Kalidas Das. The network helps show where Kalidas Das may publish in the future.
Co-authors
The 8 scholars most cited alongside Kalidas Das, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2014 | 101 | |
| 3 | 2016 | 96 | |
| 4 | 2016 | 93 | |
| 5 | 2016 | 90 | |
| 6 | 2015 | 88 | |
| 7 | 2019 | 79 | |
| 8 | 2017 | 78 | |
| 9 | 2014 | 77 | |
| 10 | 2014 | 70 | |
| 11 | 2014 | 63 | |
| 12 | 2016 | 60 | |
| 13 | 2015 | 59 | |
| 14 | 2019 | 51 | |
| 15 | 2016 | 51 | |
| 16 | 2017 | 50 | |
| 17 | 2016 | 49 | |
| 18 | 2014 | 45 | |
| 19 | 2018 | 42 | |
| 20 | 2017 | 41 |
About Kalidas Das
Kalidas Das is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Fluid Flow and Transfer Processes and Ocean Engineering, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (69 papers), Heat Transfer Mechanisms (51 papers), Fluid Dynamics and Turbulent Flows (43 papers), Heat Transfer and Optimization (16 papers), Fluid Dynamics and Thin Films (8 papers), Rheology and Fluid Dynamics Studies (5 papers), Heat and Mass Transfer in Porous Media (4 papers) and Fractional Differential Equations Solutions (2 papers). The work is most often cited by research in Computational Mechanics (1.5k citations), Biomedical Engineering (2.1k citations), Mechanical Engineering (1.8k citations), Fluid Flow and Transfer Processes (118 citations) and Modeling and Simulation (49 citations). Kalidas Das has collaborated with scholars based in India, Canada and China. Frequent co-authors include Prabir Kumar Kundu, Nilankush Acharya, Prabir Kumar Kundu, Fazle Mabood, Amit Sarkar, Ram Prakash Sharma, Liancun Zheng and Subrata Jana. Their work appears in journals such as Alexandria Engineering Journal, Journal of Molecular Liquids, Arabian Journal for Science and Engineering, Microfluidics and Nanofluidics and Journal of Computational Design and Engineering.
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.