Swapnadeep Poddar
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 5%
- Polymers and Plastics top 5%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 10%
- Topics
- Perovskite Materials and Applications (29 papers)Advanced Memory and Neural Computing (15 papers)Quantum Dots Synthesis And Properties (14 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Swapnadeep Poddar
39 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Electrical and Electronic Engineering 2.1k
- Materials Chemistry 1.1k
- Polymers and Plastics 517
- Biomedical Engineering 487
- Cellular and Molecular Neuroscience 252
Countries citing papers authored by Swapnadeep Poddar
This map shows the geographic impact of Swapnadeep Poddar'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 Swapnadeep Poddar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnadeep Poddar more than expected).
Fields of papers citing papers by Swapnadeep Poddar
This network shows the impact of papers produced by Swapnadeep Poddar. 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 Swapnadeep Poddar. The network helps show where Swapnadeep Poddar may publish in the future.
Co-authorship network of co-authors of Swapnadeep Poddar
This figure shows the co-authorship network connecting the top 25 collaborators of Swapnadeep Poddar. A scholar is included among the top collaborators of Swapnadeep Poddar 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 Swapnadeep Poddar. Swapnadeep Poddar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 26 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 84 | |
| 8 | A neuromorphic bionic eye with filter-free color vision using hemispherical perovskite nanowire array retinabreakdown → | 123 |
| 9 | 41 | |
| 10 | 84 | |
| 11 | 9 | |
| 12 | 38 | |
| 13 | 51 | |
| 14 | 29 | |
| 15 | 41 | |
| 16 | 75 | |
| 17 | A biomimetic eye with a hemispherical perovskite nanowire array retinabreakdown → | 603 |
| 18 | 19 | |
| 19 | 206 | |
| 20 | 62 |
About Swapnadeep Poddar
Swapnadeep Poddar is a scholar working on Acoustics and Ultrasonics, Polymers and Plastics and Electrical and Electronic Engineering, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (29 papers), Advanced Memory and Neural Computing (15 papers) and Quantum Dots Synthesis And Properties (14 papers). The work is most often cited by research in Polymers and Plastics (517 citations), Electrical and Electronic Engineering (2.1k citations) and Materials Chemistry (1.1k citations). Swapnadeep Poddar has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Zhiyong Fan, Qianpeng Zhang, Daquan Zhang, Leilei Gu, Yuanjing Lin, Lei Shu, Xiao Qiu, Zhenghao Long, Matthew Kam and Ali Javey. Their work appears in journals such as Nature, Advanced Materials and Nature Communications.
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.