Vandana Sharma
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- Artificial Intelligence in Healthcare 8
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 6
- Medical Laboratory Technology top 10%
- Information Systems top 5%
- Blockchain Technology Applications and Security 13
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- IoT and Edge/Fog Computing 9
- Network Security and Intrusion Detection 6
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- Smart Agriculture and AI 8
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- Brain Tumor Detection and Classification 6
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- Traffic Prediction and Management Techniques 5
- Co-authors
- Sushruta MishraAhmed AlkhayyatVinay KukrejaShanmugasundaram HariharanDeepak BanerjeeBalamurugan BalusamyDeepak GuptaAmir H. Gandomi
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Phytochemistry (1 paper)
- Partner nations
- IndiaIraqUnited Arab Emirates
In The Last Decade
Vandana Sharma
92 papers receiving 731 citations
Peers
Comparison fields: 5 of 112
- Health Information Management 74
- Health Informatics 20
- Artificial Intelligence 209
- Medical Laboratory Technology 10
- Information Systems 143
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
The 25 scholars most cited alongside Vandana Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 18 | |
| 20 | 2001 | 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), Artificial Intelligence in Healthcare (8 papers), Smart Agriculture and AI (8 papers), Network Security and Intrusion Detection (6 papers), Brain Tumor Detection and Classification (6 papers), Machine Learning in Healthcare (6 papers) and Traffic Prediction and Management Techniques (5 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.