Deepak Kumar Maurya
Impact in
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- Rheology and Fluid Dynamics Studies
- Computational Mechanics top 10%
- Heat and Mass Transfer in Porous Media
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Turbulent Flows
Papers in
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- Lattice Boltzmann Simulation Studies 7
- Heat and Mass Transfer in Porous Media 6
- Fluid Dynamics and Turbulent Flows 5
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- Nanofluid Flow and Heat Transfer 8
- Co-authors
- Satya Deo (9 shared papers)Jainendra Pathak (1 shared paper)Shailendra P. Singh (1 shared paper)Rajneesh (1 shared paper)Rajeshwar P. Sinha (1 shared paper)Donat‐P. Häder (1 shared paper)А. Н. Филиппов (2 shared papers)R. Tamil Selvi (2 shared papers)
In The Last Decade
Deepak Kumar Maurya
22 papers receiving 338 citations
Peers
Comparison fields: 5 of 61
- Fluid Flow and Transfer Processes 46
- Computational Mechanics 141
- Renewable Energy, Sustainability and the Environment 95
- Environmental Chemistry 39
- Biomedical Engineering 158
Countries citing papers authored by Deepak Kumar Maurya
This map shows the geographic impact of Deepak Kumar Maurya'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 Deepak Kumar Maurya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Kumar Maurya more than expected).
Fields of papers citing papers by Deepak Kumar Maurya
This network shows the impact of papers produced by Deepak Kumar Maurya. 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 Deepak Kumar Maurya. The network helps show where Deepak Kumar Maurya may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Kumar Maurya, 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 | 2018 | 149 | |
| 2 | 2023 | 36 | |
| 3 | 2020 | 21 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 12 | |
| 10 | 2014 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2008 | 1 | |
| 20 | Stress markers in the plasma and milk of murrah buffaloes during summer | 2013 | 1 |
About Deepak Kumar Maurya
Deepak Kumar Maurya is a scholar working on Computational Mechanics, Biomedical Engineering, Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 25 papers that have together received 341 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (8 papers), Lattice Boltzmann Simulation Studies (7 papers), Heat and Mass Transfer in Porous Media (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Reproductive Physiology in Livestock (3 papers), Heat Transfer Mechanisms (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (46 citations), Computational Mechanics (141 citations), Renewable Energy, Sustainability and the Environment (95 citations), Environmental Chemistry (39 citations) and Biomedical Engineering (158 citations). Deepak Kumar Maurya has collaborated with scholars based in India, Russia and Kuwait. Frequent co-authors include Satya Deo, Jainendra Pathak, Shailendra P. Singh, Rajneesh, Rajeshwar P. Sinha, Donat‐P. Häder, А. Н. Филиппов, R. Tamil Selvi, Anjali Aggarwal and Gulab Chandra. Their work appears in journals such as Physics of Fluids, Mathematical Methods in the Applied Sciences, Advanced Optical Materials, Frontiers in Environmental Science and Microfluidics and Nanofluidics.
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.