Annapurna Singh
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biophysics top 5%
- Plant Science
- Co-authors
- H.S. BhadauriaJyoti RawatJitendra VirmaniNoor MohdM. L. DewalDileep Kumar YadavAnuj KumarIndrajeet Kumar
- Topics
- AI in cancer detection (10 papers)Digital Imaging for Blood Diseases (9 papers)Medical Image Segmentation Techniques (6 papers)
- Journals
- Multimedia Tools and ApplicationsComputers & Electrical EngineeringJournal of Ambient Intelligence and Humanized Computing
- Partner nations
- India
In The Last Decade
Annapurna Singh
31 papers receiving 553 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 402
- Artificial Intelligence 277
- Radiology, Nuclear Medicine and Imaging 153
- Biophysics 86
- Plant Science 76
Countries citing papers authored by Annapurna Singh
This map shows the geographic impact of Annapurna 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 Annapurna Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annapurna Singh more than expected).
Fields of papers citing papers by Annapurna Singh
This network shows the impact of papers produced by Annapurna 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 Annapurna Singh. The network helps show where Annapurna Singh may publish in the future.
Co-authorship network of co-authors of Annapurna Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Annapurna Singh. A scholar is included among the top collaborators of Annapurna 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 Annapurna Singh. Annapurna 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 | 7 | |
| 2 | 34 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 23 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 82 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | Review of leukocyte classification techniques for microscopic blood images | 20 |
| 16 | 96 | |
| 17 | 11 | |
| 18 | Hyperspectral Data Dimensionality Reduction Using Hybrid Approach | 0 |
| 19 | 16 | |
| 20 | Road Extraction from High Resolution Satellite Imagery | 1 |
About Annapurna Singh
Annapurna Singh is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 32 papers that have together received 587 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (9 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (402 citations), Biophysics (86 citations) and Artificial Intelligence (277 citations). Annapurna Singh has collaborated with scholars based in India. Frequent co-authors include H.S. Bhadauria, Jyoti Rawat, Jitendra Virmani, Noor Mohd, M. L. Dewal, Dileep Kumar Yadav, Anuj Kumar, Indrajeet Kumar, Pratibha Singh and Abhishek Gupta. Their work appears in journals such as Multimedia Tools and Applications, Computers & Electrical Engineering and Journal of Ambient Intelligence and Humanized Computing.
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.