Subodh Wairya
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 2%
- Biomedical Engineering
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- Neeraj Kumar MisraR. K. NagariaShashank TiwariBibhash SenDigvijay PandeyBinay Kumar PandeySudarshan TiwariManoj Kumar Jain
- Topics
- Quantum-Dot Cellular Automata (32 papers)Advancements in Semiconductor Devices and Circuit Design (27 papers)Low-power high-performance VLSI design (18 papers)
- Cited by
- Computational Theory and MathematicsElectrical and Electronic EngineeringHardware and Architecture
- Journals
- SHILAP Revista de lepidopterologíaHeliyonSoft Computing
In The Last Decade
Subodh Wairya
59 papers receiving 409 citations
Peers
Comparison fields: 5 of 54
- Electrical and Electronic Engineering 350
- Computational Theory and Mathematics 213
- Biomedical Engineering 134
- Artificial Intelligence 76
- Atomic and Molecular Physics, and Optics 40
Countries citing papers authored by Subodh Wairya
This map shows the geographic impact of Subodh Wairya'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 Subodh Wairya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subodh Wairya more than expected).
Fields of papers citing papers by Subodh Wairya
This network shows the impact of papers produced by Subodh Wairya. 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 Subodh Wairya. The network helps show where Subodh Wairya may publish in the future.
Co-authorship network of co-authors of Subodh Wairya
This figure shows the co-authorship network connecting the top 25 collaborators of Subodh Wairya. A scholar is included among the top collaborators of Subodh Wairya 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 Subodh Wairya. Subodh Wairya 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 13 | |
| 13 | An Energy Dissipation and Cell Optimization of Vedic Multiplier Topologies for Nanocomputing Applications | 2 |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 6 |
About Subodh Wairya
Subodh Wairya is a scholar working on Computational Theory and Mathematics, Structural Biology and Electrical and Electronic Engineering, having authored 66 papers that have together received 470 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (32 papers), Advancements in Semiconductor Devices and Circuit Design (27 papers) and Low-power high-performance VLSI design (18 papers). The work is most often cited by research in Computational Theory and Mathematics (213 citations), Electrical and Electronic Engineering (350 citations) and Hardware and Architecture (22 citations). Subodh Wairya has collaborated with scholars based in India, Nepal and Bulgaria. Frequent co-authors include Neeraj Kumar Misra, R. K. Nagaria, Shashank Tiwari, Bibhash Sen, Digvijay Pandey, Binay Kumar Pandey, Sudarshan Tiwari, Manoj Kumar Jain, A. K. Singh and Manvinder Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Heliyon and Soft Computing.
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.