Shubham Sharma
- Artificial Intelligence top 10%
- Molecular Biology
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Oral Surgery top 10%
- Co-authors
- Tanupriya ChoudhuryArchit AggarwalDhiraj Kumar SrivastavaAshok KumarMandeep MittalVinod MuthusamyYunfeng ZhangKush R. Varshney
- Topics
- Photonic and Optical Devices (3 papers)Brain Tumor Detection and Classification (3 papers)AI in cancer detection (3 papers)
- Partner nations
- IndiaSaudi ArabiaNepal
In The Last Decade
Shubham Sharma
25 papers receiving 304 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 155
- Molecular Biology 57
- Health Information Management 55
- Radiology, Nuclear Medicine and Imaging 55
- Oral Surgery 53
Countries citing papers authored by Shubham Sharma
This map shows the geographic impact of Shubham 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 Shubham Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Sharma more than expected).
Fields of papers citing papers by Shubham Sharma
This network shows the impact of papers produced by Shubham 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 Shubham Sharma. The network helps show where Shubham Sharma may publish in the future.
Co-authorship network of co-authors of Shubham Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Sharma. A scholar is included among the top collaborators of Shubham 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 Shubham Sharma. Shubham 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 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 14 | |
| 15 | 134 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | Antioxidants: Tools to enhance livestock productivity | 2 |
| 20 | Moneylender's Positive Image: Paradigms and Rural Development | 5 |
About Shubham Sharma
Shubham Sharma is a scholar working on General Engineering, Computer Vision and Pattern Recognition and Neurology, having authored 33 papers that have together received 331 indexed citations. Recurring topics across this work include Photonic and Optical Devices (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Information Management (55 citations), Oral Surgery (53 citations) and Health Informatics (8 citations). Shubham Sharma has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Tanupriya Choudhury, Archit Aggarwal, Dhiraj Kumar Srivastava, Ashok Kumar, Mandeep Mittal, Vinod Muthusamy, Yunfeng Zhang, Kush R. Varshney, Djallel Bouneffouf and Sithara Vivek. Their work appears in journals such as Scientific Reports, SAE technical papers on CD-ROM/SAE technical paper series and Nanomedicine.
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.