Avinash Sharma
Impact in
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- Artificial Intelligence in Healthcare
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Artificial Intelligence in Healthcare 8
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- Blockchain Technology Applications and Security 9
- Cloud Data Security Solutions 7
- Co-authors
- Rupesh GuptaDankan GowdaP. AjayVatsala AnandNeha SharmaKanwarpartap Singh GillRahul SinghRajiv Kapoor
- Journals
- Journal of Computational and Theoretical Nanoscience (16 papers)Big Data (1 paper)Journal of Nanoparticle Research (1 paper)Journal of the American College of Cardiology (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- IndiaSaudi ArabiaNepal
In The Last Decade
Avinash Sharma
101 papers receiving 932 citations
Peers
Comparison fields: 5 of 125
- Health Information Management 62
- Computer Networks and Communications 206
- Information Systems 172
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 195
Countries citing papers authored by Avinash Sharma
This map shows the geographic impact of Avinash 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 Avinash Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Sharma more than expected).
Fields of papers citing papers by Avinash Sharma
This network shows the impact of papers produced by Avinash 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 Avinash Sharma. The network helps show where Avinash Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Avinash 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 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 31 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 55 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 24 | |
| 16 | 2022 | 23 | |
| 17 | 2021 | 19 | |
| 18 | 2019 | 5 | |
| 19 | 2011 | 8 | |
| 20 | Utilization indices of Spodoptera litura Fab. larvae as influenced by some plant extracts. | 2010 | 2 |
About Avinash Sharma
Avinash Sharma is a scholar working on Health Information Management, Information Systems, Computer Networks and Communications, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 964 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Smart Agriculture and AI (11 papers), COVID-19 diagnosis using AI (10 papers), Blockchain Technology Applications and Security (9 papers), Network Security and Intrusion Detection (8 papers), Artificial Intelligence in Healthcare (8 papers), Cloud Data Security Solutions (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Information Management (62 citations), Computer Networks and Communications (206 citations), Information Systems (172 citations), Computer Vision and Pattern Recognition (151 citations) and Artificial Intelligence (195 citations). Avinash Sharma has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Rupesh Gupta, Dankan Gowda, P. Ajay, Vatsala Anand, Neha Sharma, Kanwarpartap Singh Gill, Rahul Singh, Rajiv Kapoor, Bhanu Sharma and Sheifali Gupta. Their work appears in journals such as Journal of Computational and Theoretical Nanoscience, Big Data, Journal of Nanoparticle Research, Journal of the American College of Cardiology and Multimedia Tools and Applications.
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.