Paawan Sharma
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Samir PatelParita OzaAdesh KumarAlessandro BrunoFestus Fatai AdedoyinMukul Kumar GuptaAmit V. SantRoushan Kumar
- Topics
- AI in cancer detection (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)COVID-19 diagnosis using AI (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeural Computing and Applications
- Partner nations
- IndiaUnited KingdomSaudi Arabia
In The Last Decade
Paawan Sharma
46 papers receiving 527 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 223
- Electrical and Electronic Engineering 137
- Radiology, Nuclear Medicine and Imaging 136
- Control and Systems Engineering 98
- Computer Vision and Pattern Recognition 88
Countries citing papers authored by Paawan Sharma
This map shows the geographic impact of Paawan 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 Paawan Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paawan Sharma more than expected).
Fields of papers citing papers by Paawan Sharma
This network shows the impact of papers produced by Paawan 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 Paawan Sharma. The network helps show where Paawan Sharma may publish in the future.
Co-authorship network of co-authors of Paawan Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Paawan Sharma. A scholar is included among the top collaborators of Paawan 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 Paawan Sharma. Paawan 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 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 66 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | Selection of three RC Branches in Equivalent Circuit Model of Lithium-ion Batteries for Improved Accuracy | 5 |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 1 |
About Paawan Sharma
Paawan Sharma is a scholar working on General Dentistry, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 50 papers that have together received 558 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Neurology (45 citations). Paawan Sharma has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Samir Patel, Parita Oza, Adesh Kumar, Alessandro Bruno, Festus Fatai Adedoyin, Mukul Kumar Gupta, Amit V. Sant, Roushan Kumar, Amit Kumar Mondal and Kamal Kant Hiran. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.
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.