Vandana Sharma
- Artificial Intelligence top 5%
- Information Systems top 5%
- Plant Science
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sushruta MishraAhmed AlkhayyatVinay KukrejaShanmugasundaram HariharanDeepak BanerjeeBalamurugan BalusamyDeepak GuptaAmir H. Gandomi
- Topics
- Blockchain Technology Applications and Security (13 papers)IoT and Edge/Fog Computing (9 papers)Artificial Intelligence in Healthcare (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhytochemistry
- Partner nations
- IndiaIraqUnited Arab Emirates
In The Last Decade
Vandana Sharma
92 papers receiving 731 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 209
- Information Systems 143
- Plant Science 109
- Computer Networks and Communications 101
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by Vandana Sharma
This map shows the geographic impact of Vandana Sharma'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 Vandana Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vandana Sharma more than expected).
Fields of papers citing papers by Vandana Sharma
This network shows the impact of papers produced by Vandana Sharma. 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 Vandana Sharma. The network helps show where Vandana Sharma may publish in the future.
Co-authorship network of co-authors of Vandana Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vandana Sharma. A scholar is included among the top collaborators of Vandana Sharma 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 Vandana Sharma. Vandana Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 5 |
About Vandana Sharma
Vandana Sharma is a scholar working on Health Information Management, Health Informatics and Information Systems, having authored 121 papers that have together received 773 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (13 papers), IoT and Edge/Fog Computing (9 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Health Information Management (74 citations), Health Informatics (20 citations) and Artificial Intelligence (209 citations). Vandana Sharma has collaborated with scholars based in India, Iraq and United Arab Emirates. Frequent co-authors include Sushruta Mishra, Ahmed Alkhayyat, Vinay Kukreja, Shanmugasundaram Hariharan, Deepak Banerjee, Balamurugan Balusamy, Deepak Gupta, Amir H. Gandomi, Dipti Srinivasan and Celestine Iwendi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Phytochemistry.
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.