K. Chandan
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 8
- Computational Fluid Dynamics and Aerodynamics 2
- Mechanical Engineering top 10%
- Heat Transfer and Optimization 16
- Heat Transfer Mechanisms 16
- Heat Transfer and Boiling Studies 2
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- Nanofluid Flow and Heat Transfer 11
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- Model Reduction and Neural Networks 7
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- Power Transformer Diagnostics and Insulation 2
- Co-authors
- K.V. NagarajaR. S. Varun KumarK. KarthikUmair KhanTaseer MuhammadB. C. PrasannakumaraR. Naveen KumarIoannis E. Sarris
- Journals
- International Journal of Thermofluids (2 papers)Scientific Reports (2 papers)Case Studies in Thermal Engineering (2 papers)
- Partner nations
- IndiaSaudi ArabiaMalaysia
In The Last Decade
K. Chandan
29 papers receiving 364 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computational Mechanics 153
- Mechanical Engineering 227
- Biomedical Engineering 231
- Statistical and Nonlinear Physics 34
- Modeling and Simulation 12
Countries citing papers authored by K. Chandan
This map shows the geographic impact of K. Chandan'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 K. Chandan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Chandan more than expected).
Fields of papers citing papers by K. Chandan
This network shows the impact of papers produced by K. Chandan. 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 K. Chandan. The network helps show where K. Chandan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Chandan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 16 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 41 | |
| 17 | 2023 | 46 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 34 | |
| 20 | 2023 | 31 |
About K. Chandan
K. Chandan is a scholar working on Computational Mechanics, Mechanical Engineering, Statistical and Nonlinear Physics, Biomedical Engineering and Modeling and Simulation, having authored 35 papers that have together received 376 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (16 papers), Heat Transfer Mechanisms (16 papers), Nanofluid Flow and Heat Transfer (11 papers), Fluid Dynamics and Turbulent Flows (8 papers), Model Reduction and Neural Networks (7 papers), Heat Transfer and Boiling Studies (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Power Transformer Diagnostics and Insulation (2 papers). The work is most often cited by research in Computational Mechanics (153 citations), Mechanical Engineering (227 citations), Biomedical Engineering (231 citations), Statistical and Nonlinear Physics (34 citations) and Modeling and Simulation (12 citations). K. Chandan has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include K.V. Nagaraja, R. S. Varun Kumar, K. Karthik, Umair Khan, Taseer Muhammad, B. C. Prasannakumara, R. Naveen Kumar, Ioannis E. Sarris, Raman Kumar and K. Vinutha. Their work appears in journals such as International Journal of Thermofluids, Scientific Reports, Case Studies in Thermal Engineering, Energies and Engineering Applications of Artificial Intelligence.
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.