Savina Bansal
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Materials Chemistry
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Kuldip SinghRakesh Kumar BansalSonal SinghalPradeep KumarSantosh BhukalKailash ChandraTsering NamgyalManisha Dhiman
- Topics
- Parallel Computing and Optimization Techniques (14 papers)Distributed and Parallel Computing Systems (12 papers)Cloud Computing and Resource Management (9 papers)
- Journals
- RSC AdvancesThe Journal of BiochemistryIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Savina Bansal
45 papers receiving 687 citations
Peers
Comparison fields: 5 of 80
- Computer Networks and Communications 361
- Hardware and Architecture 195
- Materials Chemistry 194
- Information Systems 178
- Electrical and Electronic Engineering 157
Countries citing papers authored by Savina Bansal
This map shows the geographic impact of Savina Bansal'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 Savina Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savina Bansal more than expected).
Fields of papers citing papers by Savina Bansal
This network shows the impact of papers produced by Savina Bansal. 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 Savina Bansal. The network helps show where Savina Bansal may publish in the future.
Co-authorship network of co-authors of Savina Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Savina Bansal. A scholar is included among the top collaborators of Savina Bansal 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 Savina Bansal. Savina Bansal 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 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Performance Comparison of MADM Algorithms for Network Selection in Heterogeneous Networks | 1 |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 24 | |
| 15 | 16 | |
| 16 | 79 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 60 |
About Savina Bansal
Savina Bansal is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 740 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed and Parallel Computing Systems (12 papers) and Cloud Computing and Resource Management (9 papers). The work is most often cited by research in Hardware and Architecture (195 citations), Computer Networks and Communications (361 citations) and Information Systems (178 citations). Savina Bansal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kuldip Singh, Rakesh Kumar Bansal, Sonal Singhal, Pradeep Kumar, Santosh Bhukal, Kailash Chandra, Tsering Namgyal, Manisha Dhiman, Sumeet Kaur and Roli Bansal. Their work appears in journals such as RSC Advances, The Journal of Biochemistry and IEEE Transactions on Parallel and Distributed Systems.
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.