Swati Shilaskar
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Ashok GhatolShripad BhatlawandePritam Gajkumar ShahAmit RajRushikesh BorseMilind A. JogMohit AgrawalAditi Kumari
- Topics
- Gaze Tracking and Assistive Technology (11 papers)Advanced Neural Network Applications (8 papers)Vehicle License Plate Recognition (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- IndiaIrelandUnited States
In The Last Decade
Swati Shilaskar
52 papers receiving 330 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 174
- Health Information Management 106
- Computer Vision and Pattern Recognition 72
- Electrical and Electronic Engineering 45
- Information Systems 31
Countries citing papers authored by Swati Shilaskar
This map shows the geographic impact of Swati Shilaskar'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 Shilaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Shilaskar more than expected).
Fields of papers citing papers by Swati Shilaskar
This network shows the impact of papers produced by Swati Shilaskar. 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 Shilaskar. The network helps show where Swati Shilaskar may publish in the future.
Co-authorship network of co-authors of Swati Shilaskar
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Shilaskar. A scholar is included among the top collaborators of Swati Shilaskar 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 Shilaskar. Swati Shilaskar 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | VLSI Implementation of Cryptographic Algorithms & Techniques: A Literature Review | 1 |
About Swati Shilaskar
Swati Shilaskar is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 84 papers that have together received 374 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (11 papers), Advanced Neural Network Applications (8 papers) and Vehicle License Plate Recognition (7 papers). The work is most often cited by research in Health Information Management (106 citations), Artificial Intelligence (174 citations) and Medical Laboratory Technology (6 citations). Swati Shilaskar has collaborated with scholars based in India, Ireland and United States. Frequent co-authors include Ashok Ghatol, Shripad Bhatlawande, Pritam Gajkumar Shah, Amit Raj, Rushikesh Borse, Milind A. Jog, Mohit Agrawal, Aditi Kumari, Mohit Agrawal and Bhavin J. Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.