Kaushik Parida
- Biomedical Engineering top 0.5%
- Polymers and Plastics top 0.5%
- Electronic, Optical and Magnetic Materials top 2%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 2%
- Co-authors
- Pooi See LeeJiaqing XiongJiangxin WangVenkateswarlu BhavanasiVipin KumarMeng‐Fang LinXinran ZhouGurunathan Thangavel
- Topics
- Advanced Sensor and Energy Harvesting Materials (33 papers)Conducting polymers and applications (26 papers)Supercapacitor Materials and Fabrication (18 papers)
In The Last Decade
Kaushik Parida
55 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Biomedical Engineering 3.8k
- Polymers and Plastics 2.6k
- Electronic, Optical and Magnetic Materials 1.2k
- Electrical and Electronic Engineering 1.2k
- Cognitive Neuroscience 937
Countries citing papers authored by Kaushik Parida
This map shows the geographic impact of Kaushik Parida'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 Kaushik Parida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaushik Parida more than expected).
Fields of papers citing papers by Kaushik Parida
This network shows the impact of papers produced by Kaushik Parida. 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 Kaushik Parida. The network helps show where Kaushik Parida may publish in the future.
Co-authorship network of co-authors of Kaushik Parida
This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Parida. A scholar is included among the top collaborators of Kaushik Parida 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 Kaushik Parida. Kaushik Parida 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 | 11 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 68 | |
| 12 | 22 | |
| 13 | 60 | |
| 14 | 54 | |
| 15 | 23 | |
| 16 | Extremely stretchable and self-healing conductor based on thermoplastic elastomer for all-three-dimensional printed triboelectric nanogeneratorbreakdown → | 368 |
| 17 | Skin-touch-actuated textile-based triboelectric nanogenerator with black phosphorus for durable biomechanical energy harvestingbreakdown → | 508 |
| 18 | 42 | |
| 19 | 2 | |
| 20 | 108 |
About Kaushik Parida
Kaushik Parida is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 56 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (33 papers), Conducting polymers and applications (26 papers) and Supercapacitor Materials and Fabrication (18 papers). The work is most often cited by research in Polymers and Plastics (2.6k citations), Biomedical Engineering (3.8k citations) and Electronic, Optical and Magnetic Materials (1.2k citations). Kaushik Parida has collaborated with scholars based in Singapore, India and China. Frequent co-authors include Pooi See Lee, Jiaqing Xiong, Jiangxin Wang, Venkateswarlu Bhavanasi, Vipin Kumar, Meng‐Fang Lin, Xinran Zhou, Gurunathan Thangavel, Ramaraju Bendi and Sangbaek Park. Their work appears in journals such as Journal of the American Chemical Society, 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.