R. K. Sharma
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience
- Control and Systems Engineering
- Co-authors
- Raj SenaniD. R. BhaskarVinod Kumar SinghA. K. SinghSubhashish BhattacharyaLaxmidhar BeheraShuchi GuptaShanti S. Gupta
- Topics
- Analog and Mixed-Signal Circuit Design (24 papers)Advancements in PLL and VCO Technologies (15 papers)Radio Frequency Integrated Circuit Design (11 papers)
- Cited by
- Biomedical EngineeringElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- IEEE AccessComputer Methods and Programs in BiomedicineCanadian Journal of Physiology and Pharmacology
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
R. K. Sharma
34 papers receiving 482 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 432
- Biomedical Engineering 392
- Computer Networks and Communications 67
- Cellular and Molecular Neuroscience 62
- Control and Systems Engineering 60
Countries citing papers authored by R. K. Sharma
This map shows the geographic impact of R. K. 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 R. K. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. K. Sharma more than expected).
Fields of papers citing papers by R. K. Sharma
This network shows the impact of papers produced by R. K. 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 R. K. Sharma. The network helps show where R. K. Sharma may publish in the future.
Co-authorship network of co-authors of R. K. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of R. K. Sharma. A scholar is included among the top collaborators of R. K. 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 R. K. Sharma. R. K. 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 | 0 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | Performance Analysis and Study of Buck-Boost Converter | 0 |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 92 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | 13 |
About R. K. Sharma
R. K. Sharma is a scholar working on Biomedical Engineering, General Dentistry and Electrical and Electronic Engineering, having authored 38 papers that have together received 529 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (24 papers), Advancements in PLL and VCO Technologies (15 papers) and Radio Frequency Integrated Circuit Design (11 papers). The work is most often cited by research in Biomedical Engineering (392 citations), Electrical and Electronic Engineering (432 citations) and Cellular and Molecular Neuroscience (62 citations). R. K. Sharma has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Raj Senani, D. R. Bhaskar, Vinod Kumar Singh, A. K. Singh, Subhashish Bhattacharya, Laxmidhar Behera, Shuchi Gupta, Shanti S. Gupta, Eugenio Vocaturo and Ester Zumpano. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Canadian Journal of Physiology and Pharmacology.
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.