Apurba Layek
Impact in
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Mechanical Engineering top 2%
- Heat Transfer Mechanisms
- Heat Transfer and Optimization
Papers in
-
- Fluid Dynamics and Turbulent Flows 28
-
- Advanced Combustion Engine Technologies 6
- Co-authors
- Anup KumarD.V.N. LakshmiP. MuthukumarPrakash Kumar NayakS.C. SolankiJ.S. SainiAmit KumarDheeraj Kumar
- Journals
- Renewable Energy (5 papers)Journal of Thermal Science and Engineering Applications (3 papers)Thermal Science and Engineering Progress (2 papers)Solar Energy (2 papers)International Journal of Ambient Energy (2 papers)
- Partner nations
- IndiaOmanUnited States
In The Last Decade
Apurba Layek
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 53
- Computational Mechanics 620
- Mechanical Engineering 1.1k
- Renewable Energy, Sustainability and the Environment 327
- Food Science 313
- Fluid Flow and Transfer Processes 34
Countries citing papers authored by Apurba Layek
This map shows the geographic impact of Apurba Layek'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 Apurba Layek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurba Layek more than expected).
Fields of papers citing papers by Apurba Layek
This network shows the impact of papers produced by Apurba Layek. 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 Apurba Layek. The network helps show where Apurba Layek may publish in the future.
Co-authors
The 16 scholars most cited alongside Apurba Layek, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 161 | |
| 12 | 2019 | 81 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 77 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 40 | |
| 19 | 2014 | 1 | |
| 20 | 2007 | 97 |
About Apurba Layek
Apurba Layek is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Mechanical Engineering, Renewable Energy, Sustainability and the Environment and Food Science, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (33 papers), Fluid Dynamics and Turbulent Flows (28 papers), Heat Transfer and Optimization (17 papers), Tribology and Lubrication Engineering (9 papers), Biodiesel Production and Applications (6 papers), Advanced Combustion Engine Technologies (6 papers), Solar Thermal and Photovoltaic Systems (6 papers) and Food Drying and Modeling (5 papers). The work is most often cited by research in Computational Mechanics (620 citations), Mechanical Engineering (1.1k citations), Renewable Energy, Sustainability and the Environment (327 citations), Food Science (313 citations) and Fluid Flow and Transfer Processes (34 citations). Apurba Layek has collaborated with scholars based in India, Oman and United States. Frequent co-authors include Anup Kumar, D.V.N. Lakshmi, P. Muthukumar, Prakash Kumar Nayak, S.C. Solanki, J.S. Saini, Amit Kumar, Dheeraj Kumar, Jasinta Poonam Ekka and Amit Kumar. Their work appears in journals such as Renewable Energy, Journal of Thermal Science and Engineering Applications, Thermal Science and Engineering Progress, Solar Energy and International Journal of Ambient Energy.
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.