Neha Sharma
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Electrical and Electronic Engineering
- Topics
- Generative Adversarial Networks and Image Synthesis (5 papers)Face recognition and analysis (5 papers)Advanced Image Processing Techniques (3 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Neha Sharma
8 papers receiving 282 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 66
- Radiology, Nuclear Medicine and Imaging 28
- Biomedical Engineering 22
- Electrical and Electronic Engineering 22
Countries citing papers authored by Neha Sharma
This map shows the geographic impact of Neha 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 Neha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Sharma more than expected).
Fields of papers citing papers by Neha Sharma
This network shows the impact of papers produced by Neha 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 Neha Sharma. The network helps show where Neha Sharma may publish in the future.
Co-authorship network of co-authors of Neha Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Sharma. A scholar is included among the top collaborators of Neha 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 Neha Sharma. Neha 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 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | Machine Learning and Deep Learning Applications-A Visionbreakdown → | 246 |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 0 |
About Neha Sharma
Neha Sharma is a scholar working on Business and International Management, Computer Vision and Pattern Recognition and Health Information Management, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Face recognition and analysis (5 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Health Informatics (11 citations), Computer Vision and Pattern Recognition (83 citations) and Artificial Intelligence (66 citations). Neha Sharma has collaborated with scholars based in India and United States. Frequent co-authors include Neeru Jindal, Reecha Sharma, Arun Aggarwal, Aditya S. Pandey and Jatin Arora. Their work appears in journals such as Multimedia Tools and Applications, Wireless Personal Communications and Sadhana.
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.