Akansha Singh
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Co-authors
- Krishna Kant SinghPoonam SharmaKhushboo JainKaran SinghAmit K. AwasthiNirupama MandalGaurav DhimanPramod Kumar Srivastava
- Topics
- COVID-19 diagnosis using AI (11 papers)Energy Efficient Wireless Sensor Networks (10 papers)AI in cancer detection (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIndustrial & Engineering Chemistry Research
- Partner nations
- IndiaSaudi ArabiaEgypt
In The Last Decade
Akansha Singh
97 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 285
- Computer Networks and Communications 278
- Computer Vision and Pattern Recognition 266
- Radiology, Nuclear Medicine and Imaging 196
- Electrical and Electronic Engineering 162
Countries citing papers authored by Akansha Singh
This map shows the geographic impact of Akansha Singh'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 Akansha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akansha Singh more than expected).
Fields of papers citing papers by Akansha Singh
This network shows the impact of papers produced by Akansha Singh. 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 Akansha Singh. The network helps show where Akansha Singh may publish in the future.
Co-authorship network of co-authors of Akansha Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Akansha Singh. A scholar is included among the top collaborators of Akansha Singh 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 Akansha Singh. Akansha Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | 17 | |
| 15 | 28 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | Lightweight multilevel key management scheme for large scale wireless sensor network | 3 |
| 19 | Review of brain tumor detection from MRI images | 12 |
| 20 | Change detection from remotely sensed images based on a decision theoretic method | 1 |
About Akansha Singh
Akansha Singh is a scholar working on Media Technology, Health Information Management and Computer Networks and Communications, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (11 papers), Energy Efficient Wireless Sensor Networks (10 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Health Informatics (21 citations), Media Technology (127 citations) and Computer Vision and Pattern Recognition (266 citations). Akansha Singh has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include Krishna Kant Singh, Poonam Sharma, Khushboo Jain, Karan Singh, Amit K. Awasthi, Nirupama Mandal, Gaurav Dhiman, Pramod Kumar Srivastava, Ivan Izonin and Fengqi You. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Industrial & Engineering Chemistry Research.
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.