Arun K. Nayak
- Aerospace Engineering top 1%
- Nuclear Engineering Thermal-Hydraulics 81
- Nuclear reactor physics and engineering 65
- Computational Mechanics top 2%
- Heat transfer and supercritical fluids 22
- Mechanical Engineering top 2%
- Heat Transfer and Boiling Studies 41
- Biomedical Engineering top 5%
- Fluid Dynamics and Mixing 24
- Nanofluid Flow and Heat Transfer 18
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- Nuclear Materials and Properties 50
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- Nuclear and radioactivity studies 10
Arun K. Nayak
159 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Aerospace Engineering 1.0k
- Computational Mechanics 612
- Mechanical Engineering 983
- Statistics, Probability and Uncertainty 114
- Biomedical Engineering 548
Countries citing papers authored by Arun K. Nayak
This map shows the geographic impact of Arun K. Nayak'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 Arun K. Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun K. Nayak more than expected).
Fields of papers citing papers by Arun K. Nayak
This network shows the impact of papers produced by Arun K. Nayak. 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 Arun K. Nayak. The network helps show where Arun K. Nayak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arun K. Nayak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 18 | |
| 10 | Effects of yoga on mental and physical health | 2016 | 1 |
| 11 | 2016 | 1 | |
| 12 | 2016 | 4 | |
| 13 | Effect of hand-eye coordination on motor coordinative ability of tribal adolescents | 2015 | 10 |
| 14 | 2015 | 30 | |
| 15 | 2015 | 1 | |
| 16 | Big dams and protests in India: a study of Hirakud dam. | 2010 | 13 |
| 17 | 2008 | 8 | |
| 18 | 1998 | 17 | |
| 19 | 1998 | 26 | |
| 20 | Thermal and quantitative thermal-analysis of Al-Zn alloys and determination of equilibrium diagram of binary-system | 1973 | 1 |
About Arun K. Nayak
Arun K. Nayak is a scholar working on Aerospace Engineering, Computational Mechanics, Statistics, Probability and Uncertainty, Mechanical Engineering and Safety, Risk, Reliability and Quality, having authored 169 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (81 papers), Nuclear reactor physics and engineering (65 papers), Nuclear Materials and Properties (50 papers), Heat Transfer and Boiling Studies (41 papers), Fluid Dynamics and Mixing (24 papers), Heat transfer and supercritical fluids (22 papers), Nanofluid Flow and Heat Transfer (18 papers) and Nuclear and radioactivity studies (10 papers). The work is most often cited by research in Aerospace Engineering (1.0k citations), Computational Mechanics (612 citations), Mechanical Engineering (983 citations), Statistics, Probability and Uncertainty (114 citations) and Biomedical Engineering (548 citations). Arun K. Nayak has collaborated with scholars based in India, Japan and Sweden. Frequent co-authors include P.K. Vijayan, Jyeshtharaj B. Joshi, P.K. Vijayan, Dilip Saha, Manas Ranjan Gartia, R.K. Sinha, Vikas Jain, V. Venkat Raj, Pradyumna Ghosh and Masanori ARITOMI. Their work appears in journals such as Nuclear Engineering and Design, Nuclear Science and Engineering, International Journal of Heat and Mass Transfer, Experimental Thermal and Fluid Science and Journal of Heat Transfer.
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.