Swati Aggarwal
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Management Science and Operations Research top 5%
- Signal Processing top 10%
- Co-authors
- Nupur ChughRanjit BiswasAbdul Quaiyum AnsariRamit SawhneyRaj Mohan SinghYaman KumarRoger ZimmermannRajiv Ratn Shah
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Multi-Criteria Decision Making (7 papers)Neuroscience and Neural Engineering (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Business ResearchRSC Advances
In The Last Decade
Swati Aggarwal
54 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 363
- Artificial Intelligence 207
- Cellular and Molecular Neuroscience 135
- Management Science and Operations Research 110
- Signal Processing 89
Countries citing papers authored by Swati Aggarwal
This map shows the geographic impact of Swati Aggarwal'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 Swati Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Aggarwal more than expected).
Fields of papers citing papers by Swati Aggarwal
This network shows the impact of papers produced by Swati Aggarwal. 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 Swati Aggarwal. The network helps show where Swati Aggarwal may publish in the future.
Co-authorship network of co-authors of Swati Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Aggarwal. A scholar is included among the top collaborators of Swati Aggarwal 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 Swati Aggarwal. Swati Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | Review of Machine Learning Techniques for EEG Based Brain Computer Interfacebreakdown → | 141 |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 33 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Uncertain data mining: A review of optimization methods for UK-means | 1 |
| 18 | 6 | |
| 19 | 40 | |
| 20 | 29 |
About Swati Aggarwal
Swati Aggarwal is a scholar working on Management Science and Operations Research, Artificial Intelligence and Cognitive Neuroscience, having authored 60 papers that have together received 857 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Multi-Criteria Decision Making (7 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (363 citations), Human-Computer Interaction (53 citations) and Management Science and Operations Research (110 citations). Swati Aggarwal has collaborated with scholars based in India, Norway and Singapore. Frequent co-authors include Nupur Chugh, Ranjit Biswas, Abdul Quaiyum Ansari, Ramit Sawhney, Raj Mohan Singh, Yaman Kumar, Roger Zimmermann, Rajiv Ratn Shah, Debanjan Mahata and Ponnurangam Kumaraguru. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Business Research and RSC Advances.
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.