Aakanksha Sharma
- Artificial Intelligence
- Molecular Biology
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Health Information Management top 10%
- Co-authors
- Narina ThakurAmanpreet SinghRashmi KhanalPrantesh JainYan FengRhonda CliffordNeelesh SharmaShipra Agarwal
- Topics
- Vibrio bacteria research studies (2 papers)Facial Trauma and Fracture Management (2 papers)Renal Diseases and Glomerulopathies (2 papers)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Aakanksha Sharma
21 papers receiving 274 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 71
- Molecular Biology 28
- Computer Networks and Communications 27
- Electrical and Electronic Engineering 27
- Health Information Management 24
Countries citing papers authored by Aakanksha Sharma
This map shows the geographic impact of Aakanksha 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 Aakanksha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aakanksha Sharma more than expected).
Fields of papers citing papers by Aakanksha Sharma
This network shows the impact of papers produced by Aakanksha 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 Aakanksha Sharma. The network helps show where Aakanksha Sharma may publish in the future.
Co-authorship network of co-authors of Aakanksha Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Aakanksha Sharma. A scholar is included among the top collaborators of Aakanksha 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 Aakanksha Sharma. Aakanksha 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 | 2 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | A review of supervised machine learning algorithms | 211 |
| 17 | 1 | |
| 18 | Seroprevalence of Salmonella typhi in a Tertiary Care Facility in North India | 2 |
| 19 | 14 | |
| 20 | 2 |
About Aakanksha Sharma
Aakanksha Sharma is a scholar working on Complementary and Manual Therapy, Nephrology and Endocrinology, having authored 26 papers that have together received 288 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (2 papers), Facial Trauma and Fracture Management (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Health Information Management (24 citations), Health Informatics (4 citations) and Geriatrics and Gerontology (9 citations). Aakanksha Sharma has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Narina Thakur, Amanpreet Singh, Rashmi Khanal, Prantesh Jain, Yan Feng, Rhonda Clifford, Neelesh Sharma, Shipra Agarwal, Pankaj Hari and H. B. Bohidar. Their work appears in journals such as Circulation, Applied Physics Letters and The American Journal 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.