Poonam Sharma
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Akansha SinghPiyush Kumar ShuklaPrashant Kumar ShuklaM. KaurParesh RawatK. V. AryaRam Narayan YadavKrishna Kant Singh
- Topics
- Face and Expression Recognition (10 papers)Video Surveillance and Tracking Methods (7 papers)Vehicle License Plate Recognition (5 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Poonam Sharma
43 papers receiving 407 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 105
- Media Technology 56
- Signal Processing 54
- Computational Theory and Mathematics 40
Countries citing papers authored by Poonam Sharma
This map shows the geographic impact of Poonam 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 Poonam Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poonam Sharma more than expected).
Fields of papers citing papers by Poonam Sharma
This network shows the impact of papers produced by Poonam 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 Poonam Sharma. The network helps show where Poonam Sharma may publish in the future.
Co-authorship network of co-authors of Poonam Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Sharma. A scholar is included among the top collaborators of Poonam 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 Poonam Sharma. Poonam 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | Movie Recommendation System Using Item Based Collaborative Filtering | 1 |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | Image processing techniques for offline handwritten recognition | 2 |
| 11 | Survey on acoustic modeling and feature extraction for speech recognition | 9 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 14 | |
| 20 | PrefixSpan: Mining Sequential Patterns by Prefix- Projected Pattern | 1 |
About Poonam Sharma
Poonam Sharma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 51 papers that have together received 439 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Video Surveillance and Tracking Methods (7 papers) and Vehicle License Plate Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (161 citations), Media Technology (56 citations) and Signal Processing (54 citations). Poonam Sharma has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Akansha Singh, Piyush Kumar Shukla, Prashant Kumar Shukla, M. Kaur, Paresh Rawat, K. V. Arya, Ram Narayan Yadav, Krishna Kant Singh, M. A. Rizvi and Yadunath Pathak. Their work appears in journals such as IEEE Access, Synthesis and Signal Processing.
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.