S. Baag
Impact in
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Heat and Mass Transfer in Porous Media
- Fluid Dynamics and Thin Films
- Lattice Boltzmann Simulation Studies
- Biomedical Engineering top 5%
- Nanofluid Flow and Heat Transfer
Papers in
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- Nanofluid Flow and Heat Transfer 24
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- Heat Transfer Mechanisms 20
- Heat Transfer and Optimization 8
- Co-authors
- S. R. Mishra (24 shared papers)G. C. Dash (8 shared papers)M. R. Acharya (9 shared papers)Subhajit Panda (4 shared papers)P. K. Pattnaik (4 shared papers)D.K. Mohapatra (1 shared paper)M. M. Bhatti (2 shared papers)Mohammad Mainul Hoque (1 shared paper)
In The Last Decade
S. Baag
25 papers receiving 625 citations
Peers
Comparison fields: 5 of 28
- Computational Mechanics 414
- Biomedical Engineering 618
- Mechanical Engineering 475
- Fluid Flow and Transfer Processes 42
- Modeling and Simulation 18
Countries citing papers authored by S. Baag
This map shows the geographic impact of S. Baag'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 S. Baag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Baag more than expected).
Fields of papers citing papers by S. Baag
This network shows the impact of papers produced by S. Baag. 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 S. Baag. The network helps show where S. Baag may publish in the future.
Co-authors
The 17 scholars most cited alongside S. Baag, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2016 | 78 | |
| 3 | 2021 | 58 | |
| 4 | 2022 | 57 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 42 | |
| 7 | 2014 | 39 | |
| 8 | 2023 | 36 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2024 | 34 | |
| 12 | 2019 | 18 | |
| 13 | 2015 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2019 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2015 | 4 |
About S. Baag
S. Baag is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Fluid Flow and Transfer Processes and Modeling and Simulation, having authored 25 papers that have together received 639 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (24 papers), Heat Transfer Mechanisms (20 papers), Fluid Dynamics and Turbulent Flows (12 papers), Heat Transfer and Optimization (8 papers), Heat and Mass Transfer in Porous Media (3 papers), Fractional Differential Equations Solutions (2 papers), Fluid Dynamics and Thin Films (2 papers) and Rheology and Fluid Dynamics Studies (2 papers). The work is most often cited by research in Computational Mechanics (414 citations), Biomedical Engineering (618 citations), Mechanical Engineering (475 citations), Fluid Flow and Transfer Processes (42 citations) and Modeling and Simulation (18 citations). S. Baag has collaborated with scholars based in India, China and Pakistan. Frequent co-authors include S. R. Mishra, G. C. Dash, M. R. Acharya, Subhajit Panda, P. K. Pattnaik, D.K. Mohapatra, M. M. Bhatti, Mohammad Mainul Hoque, Rupa Baithalu and Yunxiang Li. Their work appears in journals such as Alexandria Engineering Journal, Ain Shams Engineering Journal, Journal of Thermal Analysis and Calorimetry, International Journal of Ambient Energy and Journal of King Saud University - Engineering Sciences.
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.