Krishnendu Bhattacharyya
- Biomedical Engineering top 0.2%
- Mechanical Engineering top 0.2%
- Computational Mechanics top 0.1%
- Fluid Flow and Transfer Processes top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- G. C. LayekSwati MukhopadhyayAli J. ChamkhaTasawar HayatSharidan ShafieK. VajraveluAjeet Kumar VermaAurang Zaib
- Topics
- Nanofluid Flow and Heat Transfer (109 papers)Fluid Dynamics and Turbulent Flows (73 papers)Heat Transfer Mechanisms (62 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysical review. B, Condensed matterPLoS ONE
In The Last Decade
Krishnendu Bhattacharyya
149 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 70
- Biomedical Engineering 4.2k
- Mechanical Engineering 3.3k
- Computational Mechanics 3.1k
- Fluid Flow and Transfer Processes 421
- Atomic and Molecular Physics, and Optics 328
Countries citing papers authored by Krishnendu Bhattacharyya
This map shows the geographic impact of Krishnendu Bhattacharyya'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 Krishnendu Bhattacharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnendu Bhattacharyya more than expected).
Fields of papers citing papers by Krishnendu Bhattacharyya
This network shows the impact of papers produced by Krishnendu Bhattacharyya. 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 Krishnendu Bhattacharyya. The network helps show where Krishnendu Bhattacharyya may publish in the future.
Co-authorship network of co-authors of Krishnendu Bhattacharyya
This figure shows the co-authorship network connecting the top 25 collaborators of Krishnendu Bhattacharyya. A scholar is included among the top collaborators of Krishnendu Bhattacharyya 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 Krishnendu Bhattacharyya. Krishnendu Bhattacharyya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 15 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 6 | |
| 18 | Dual distributions for the metallic and semiconducting single-walled carbon nanotubes observed by Raman spectroscopy. | 1 |
| 19 | 5 | |
| 20 | 11 |
About Krishnendu Bhattacharyya
Krishnendu Bhattacharyya is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering, having authored 151 papers that have together received 4.8k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (109 papers), Fluid Dynamics and Turbulent Flows (73 papers) and Heat Transfer Mechanisms (62 papers). The work is most often cited by research in Computational Mechanics (3.1k citations), Biomedical Engineering (4.2k citations) and Mechanical Engineering (3.3k citations). Krishnendu Bhattacharyya has collaborated with scholars based in India, Kuwait and Pakistan. Frequent co-authors include G. C. Layek, Swati Mukhopadhyay, Ali J. Chamkha, Tasawar Hayat, Sharidan Shafie, K. Vajravelu, Ajeet Kumar Verma, Aurang Zaib, Ioan Pop and Dhananjay Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and PLoS ONE.
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.