Sayak Banerjee
- Computational Mechanics top 2%
- Fluid Flow and Transfer Processes top 2%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Co-authors
- Saravanan BalusamyKirti Chandra SahuCraig T. BowmanHai WangRui XuDong Joon LeeHan XuShengkai Wang
- Topics
- Nanomaterials and Printing Technologies (9 papers)Advanced Combustion Engine Technologies (8 papers)Innovative Microfluidic and Catalytic Techniques Innovation (7 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Sayak Banerjee
21 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computational Mechanics 428
- Fluid Flow and Transfer Processes 305
- Biomedical Engineering 232
- Electrical and Electronic Engineering 212
- Aerospace Engineering 123
Countries citing papers authored by Sayak Banerjee
This map shows the geographic impact of Sayak Banerjee'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 Sayak Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayak Banerjee more than expected).
Fields of papers citing papers by Sayak Banerjee
This network shows the impact of papers produced by Sayak Banerjee. 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 Sayak Banerjee. The network helps show where Sayak Banerjee may publish in the future.
Co-authorship network of co-authors of Sayak Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Sayak Banerjee. A scholar is included among the top collaborators of Sayak Banerjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sayak Banerjee. Sayak Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 15 | |
| 9 | 36 | |
| 10 | 58 | |
| 11 | 2 | |
| 12 | 40 | |
| 13 | 12 | |
| 14 | 27 | |
| 15 | An investigation into LPG Sooting Diffusion Flame with Rainbow Schlieren Deflectometry | 1 |
| 16 | 80 | |
| 17 | A physics-based approach to modeling real-fuel combustion chemistry – II. Reaction kinetic models of jet and rocket fuelsbreakdown → | 264 |
| 18 | 71 | |
| 19 | 33 | |
| 20 | 1 |
About Sayak Banerjee
Sayak Banerjee is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Sensory Systems, having authored 22 papers that have together received 737 indexed citations. Recurring topics across this work include Nanomaterials and Printing Technologies (9 papers), Advanced Combustion Engine Technologies (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (305 citations), Computational Mechanics (428 citations) and Surfaces, Coatings and Films (41 citations). Sayak Banerjee has collaborated with scholars based in India and United States. Frequent co-authors include Saravanan Balusamy, Kirti Chandra Sahu, Craig T. Bowman, Hai Wang, Rui Xu, Dong Joon Lee, Han Xu, Shengkai Wang, Ronald K. Hanson and Yang Gao. Their work appears in journals such as Langmuir, International Journal of Heat and Mass Transfer and Energy Conversion and Management.
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.