Sarita Nanda
- Electrical and Electronic Engineering
- Molecular Biology
- Computational Mechanics top 10%
- Control and Systems Engineering
- Signal Processing top 10%
- Co-authors
- P.K. DashJitendra Kumar DasLopamudra DasShazia HasanMilan BiswalSubhransu Ranjan SamantarayKingshuk BasuJian Dong
- Topics
- Advanced Adaptive Filtering Techniques (23 papers)Machine Learning in Bioinformatics (14 papers)Fractal and DNA sequence analysis (14 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power SystemsIEEE Transactions on Power Delivery
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Sarita Nanda
62 papers receiving 365 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 164
- Molecular Biology 95
- Computational Mechanics 69
- Control and Systems Engineering 53
- Signal Processing 44
Countries citing papers authored by Sarita Nanda
This map shows the geographic impact of Sarita Nanda'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 Sarita Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarita Nanda more than expected).
Fields of papers citing papers by Sarita Nanda
This network shows the impact of papers produced by Sarita Nanda. 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 Sarita Nanda. The network helps show where Sarita Nanda may publish in the future.
Co-authorship network of co-authors of Sarita Nanda
This figure shows the co-authorship network connecting the top 25 collaborators of Sarita Nanda. A scholar is included among the top collaborators of Sarita Nanda 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 Sarita Nanda. Sarita Nanda 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 28 | |
| 19 | 11 | |
| 20 | 2 |
About Sarita Nanda
Sarita Nanda is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering, having authored 76 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (23 papers), Machine Learning in Bioinformatics (14 papers) and Fractal and DNA sequence analysis (14 papers). The work is most often cited by research in Signal Processing (44 citations), Computational Mechanics (69 citations) and Electrical and Electronic Engineering (164 citations). Sarita Nanda has collaborated with scholars based in India, United States and Italy. Frequent co-authors include P.K. Dash, Jitendra Kumar Das, Lopamudra Das, Shazia Hasan, Milan Biswal, Subhransu Ranjan Samantaray, Kingshuk Basu, Jian Dong, Amitkumar V. Jha and Umesh Chandra Samal. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.
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.