Neha Sharma
Impact in
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
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- Digital Imaging for Blood Diseases 15
- Co-authors
- Vibhor JainAnju MishraRupesh GuptaKailash SinghRahul SinghUsha BatraNarendra Singh YadavAvinash Sharma
- Journals
- Tetrahedron (3 papers)IEEE Access (3 papers)Global and Planetary Change (2 papers)Tribology International (2 papers)Biotechnology Reports (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Neha Sharma
262 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 392
- Health Information Management 73
- Artificial Intelligence 461
- Neurology 103
- Analytical Chemistry 113
Countries citing papers authored by Neha Sharma
This map shows the geographic impact of Neha 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 Neha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Sharma more than expected).
Fields of papers citing papers by Neha Sharma
This network shows the impact of papers produced by Neha 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 Neha Sharma. The network helps show where Neha Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Neha 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 19 | |
| 20 | 2022 | 4 |
About Neha Sharma
Neha Sharma is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Health Informatics, Computer Networks and Communications and Neurology, having authored 326 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (39 papers), AI in cancer detection (21 papers), Blockchain Technology Applications and Security (18 papers), Brain Tumor Detection and Classification (16 papers), Digital Imaging for Blood Diseases (15 papers), IoT and Edge/Fog Computing (15 papers), Spectroscopy and Chemometric Analyses (14 papers) and COVID-19 diagnosis using AI (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Health Information Management (73 citations), Artificial Intelligence (461 citations), Neurology (103 citations) and Analytical Chemistry (113 citations). Neha Sharma has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Vibhor Jain, Anju Mishra, Rupesh Gupta, Kailash Singh, Rahul Singh, Usha Batra, Narendra Singh Yadav, Avinash Sharma, S. Dash and Chinmay Chakraborty. Their work appears in journals such as Tetrahedron, IEEE Access, Global and Planetary Change, Tribology International and Biotechnology Reports.
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.