Sanjukta Bhanja
- Electrical and Electronic Engineering top 5%
- Computational Theory and Mathematics top 0.5%
- Atomic and Molecular Physics, and Optics top 5%
- Hardware and Architecture top 2%
- Artificial Intelligence top 10%
- Co-authors
- Sudeep SarkarSaket SrivastavaN. RanganathanNeal G. AndersonSyed M. AlamAnita KumariFabrizio LombardiSalvatore Pontarelli
- Topics
- Advanced Memory and Neural Computing (48 papers)Quantum-Dot Cellular Automata (43 papers)Magnetic properties of thin films (16 papers)
- Cited by
- Computational Theory and MathematicsHardware and ArchitectureElectrical and Electronic Engineering
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Sanjukta Bhanja
95 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 1.3k
- Computational Theory and Mathematics 867
- Atomic and Molecular Physics, and Optics 520
- Hardware and Architecture 336
- Artificial Intelligence 126
Countries citing papers authored by Sanjukta Bhanja
This map shows the geographic impact of Sanjukta Bhanja'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 Sanjukta Bhanja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjukta Bhanja more than expected).
Fields of papers citing papers by Sanjukta Bhanja
This network shows the impact of papers produced by Sanjukta Bhanja. 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 Sanjukta Bhanja. The network helps show where Sanjukta Bhanja may publish in the future.
Co-authorship network of co-authors of Sanjukta Bhanja
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjukta Bhanja. A scholar is included among the top collaborators of Sanjukta Bhanja 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 Sanjukta Bhanja. Sanjukta Bhanja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 29 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | Probabilistic error analysis models for nano-domain vlsi circuits | 2 |
| 13 | 6 | |
| 14 | Proceedings of the 18th ACM Great Lakes symposium on VLSI | 1 |
| 15 | 3 | |
| 16 | Bayesian modeling of quantum-dot-cellular-automata circuits | 5 |
| 17 | 15 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | A Qualitative Expert System for Clinical Trial Assignment | 6 |
About Sanjukta Bhanja
Sanjukta Bhanja is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Software, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (48 papers), Quantum-Dot Cellular Automata (43 papers) and Magnetic properties of thin films (16 papers). The work is most often cited by research in Computational Theory and Mathematics (867 citations), Hardware and Architecture (336 citations) and Electrical and Electronic Engineering (1.3k citations). Sanjukta Bhanja has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Sudeep Sarkar, Saket Srivastava, N. Ranganathan, Neal G. Anderson, Syed M. Alam, Anita Kumari, Fabrizio Lombardi, Salvatore Pontarelli, Marco Ottavi and Alex K. Jones. Their work appears in journals such as Journal of Applied Physics, Nature Nanotechnology and IEEE Transactions on Computers.
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.