Manish Kumar Sharma
- Biomedical Engineering
- Electrical and Electronic Engineering
- Materials Chemistry
- Polymers and Plastics
- Electronic, Optical and Magnetic Materials
- Co-authors
- Zong‐Hong LinArshad KhanSangmin LeeAnindita GangulyParag ParasharFu‐Cheng KaoTing-Wei WangRadhamanohar Aepuru
- Topics
- Advanced Sensor and Energy Harvesting Materials (10 papers)Model Reduction and Neural Networks (4 papers)Conducting polymers and applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalJournal of Materials Chemistry A
- Partner nations
- TaiwanIndiaSouth Korea
In The Last Decade
Manish Kumar Sharma
30 papers receiving 376 citations
Peers
Comparison fields: 5 of 75
- Biomedical Engineering 228
- Electrical and Electronic Engineering 141
- Materials Chemistry 105
- Polymers and Plastics 82
- Electronic, Optical and Magnetic Materials 64
Countries citing papers authored by Manish Kumar Sharma
This map shows the geographic impact of Manish Kumar Sharma'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 Manish Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar Sharma more than expected).
Fields of papers citing papers by Manish Kumar Sharma
This network shows the impact of papers produced by Manish Kumar Sharma. 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 Manish Kumar Sharma. The network helps show where Manish Kumar Sharma may publish in the future.
Co-authorship network of co-authors of Manish Kumar Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar Sharma. A scholar is included among the top collaborators of Manish Kumar Sharma 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 Manish Kumar Sharma. Manish Kumar Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 37 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 93 | |
| 14 | 0 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Building extraction from very high resolution multispectral images using NDVI based segmentation and morphological operators | 1 |
| 19 | 7 | |
| 20 | 0 |
About Manish Kumar Sharma
Manish Kumar Sharma is a scholar working on General Dentistry, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 35 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Model Reduction and Neural Networks (4 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Polymers and Plastics (82 citations), Biomedical Engineering (228 citations) and Electronic, Optical and Magnetic Materials (64 citations). Manish Kumar Sharma has collaborated with scholars based in Taiwan, India and South Korea. Frequent co-authors include Zong‐Hong Lin, Arshad Khan, Sangmin Lee, Anindita Ganguly, Parag Parashar, Fu‐Cheng Kao, Ting-Wei Wang, Radhamanohar Aepuru, Sanjay Sahare and Marcin Ziółek. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Journal of Materials Chemistry A.
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.