Swapnadeep Poddar
- Polymers and Plastics top 5%
- Conducting polymers and applications 9
- Transition Metal Oxide Nanomaterials 5
-
- Perovskite Materials and Applications 29
- Advanced Memory and Neural Computing 15
- Organic Light-Emitting Diodes Research 9
- CCD and CMOS Imaging Sensors 5
- Materials Chemistry top 5%
- Quantum Dots Synthesis And Properties 14
- 2D Materials and Applications 4
- Acoustics and Ultrasonics top 10%
- 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
- Polymers and Plastics 517
- Electrical and Electronic Engineering 2.1k
- Materials Chemistry 1.1k
- Acoustics and Ultrasonics 20
- 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
The 25 scholars most cited alongside Swapnadeep Poddar, 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 | 2024 | 11 | |
| 4 | 2024 | 26 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 84 | |
| 8 | A neuromorphic bionic eye with filter-free color vision using hemispherical perovskite nanowire array retinabreakdown → | 2023 | 123 |
| 9 | 2022 | 41 | |
| 10 | 2022 | 84 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 51 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 41 | |
| 16 | 2020 | 75 | |
| 17 | A biomimetic eye with a hemispherical perovskite nanowire array retinabreakdown → | 2020 | 603 |
| 18 | 2019 | 19 | |
| 19 | 2019 | 206 | |
| 20 | 2018 | 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), Quantum Dots Synthesis And Properties (14 papers), Conducting polymers and applications (9 papers), Organic Light-Emitting Diodes Research (9 papers), CCD and CMOS Imaging Sensors (5 papers), Transition Metal Oxide Nanomaterials (5 papers) and 2D Materials and Applications (4 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.