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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- IoT and Edge/Fog Computing 13
- Network Security and Intrusion Detection 8
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- AI in cancer detection 7
- Co-authors
- Rupesh Gupta (14 shared papers)Dankan Gowda (10 shared papers)Vatsala Anand (12 shared papers)P. Ajay (5 shared papers)Neha Sharma (6 shared papers)Kanwarpartap Singh Gill (8 shared papers)Rahul Singh (4 shared papers)Rajiv Kapoor (4 shared papers)
- Journals
- Journal of Computational and Theoretical Nanoscience (16 papers)Journal of Nanoparticle Research (1 paper)Multimedia Tools and Applications (1 paper)Big Data (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- IndiaSaudi ArabiaLiberia
In The Last Decade
Avinash Sharma
100 papers receiving 970 citations
Peers
Comparison fields: 5 of 127
- Health Information Management 62
- Computer Networks and Communications 208
- Information Systems 175
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 200
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-authors
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
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 2022 | 57 | |
| 3 | 2022 | 49 | |
| 4 | 2022 | 47 | |
| 5 | 2022 | 36 | |
| 6 | 2022 | 35 | |
| 7 | 2023 | 31 | |
| 8 | 2022 | 31 | |
| 9 | 2023 | 27 | |
| 10 | 2022 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2022 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2023 | 16 | |
| 20 | 2019 | 15 |
About Avinash Sharma
Avinash Sharma is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Plant Science, having authored 113 papers that have together received 1.0k 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 (8 papers), Artificial Intelligence in Healthcare (8 papers), Network Security and Intrusion Detection (8 papers), AI in cancer detection (7 papers) and Cloud Data Security Solutions (7 papers). The work is most often cited by research in Health Information Management (62 citations), Computer Networks and Communications (208 citations), Information Systems (175 citations), Computer Vision and Pattern Recognition (153 citations) and Artificial Intelligence (200 citations). Avinash Sharma has collaborated with scholars based in India, Saudi Arabia and Liberia. Frequent co-authors include Rupesh Gupta, Dankan Gowda, Vatsala Anand, P. Ajay, 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, Journal of Nanoparticle Research, Multimedia Tools and Applications, Big Data and Journal of the American College of Cardiology.
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.