Shubhi Gupta
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ashutosh GuptaSanjeev ThakurSuman Avdhesh YadavSmita SharmaBiswa Mohan SahooLipsa DasPradeep Kumar KushwahaRakhi Singh
- Topics
- Retinal Imaging and Analysis (7 papers)Retinal Diseases and Treatments (5 papers)IoT and Edge/Fog Computing (4 papers)
- Journals
- Energy Conversion and ManagementMultimedia Tools and ApplicationsAdvances in computational intelligence and robotics book series
- Partner nations
- IndiaUnited Arab EmiratesUnited States
In The Last Decade
Shubhi Gupta
34 papers receiving 318 citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 103
- Artificial Intelligence 62
- Electrical and Electronic Engineering 57
- Information Systems 52
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Shubhi Gupta
This map shows the geographic impact of Shubhi Gupta'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 Shubhi Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubhi Gupta more than expected).
Fields of papers citing papers by Shubhi Gupta
This network shows the impact of papers produced by Shubhi Gupta. 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 Shubhi Gupta. The network helps show where Shubhi Gupta may publish in the future.
Co-authorship network of co-authors of Shubhi Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhi Gupta. A scholar is included among the top collaborators of Shubhi Gupta 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 Shubhi Gupta. Shubhi Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 31 | |
| 20 | 14 |
About Shubhi Gupta
Shubhi Gupta is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 37 papers that have together received 331 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (5 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Health Information Management (27 citations), Computer Networks and Communications (103 citations) and Health Informatics (4 citations). Shubhi Gupta has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include Ashutosh Gupta, Sanjeev Thakur, Suman Avdhesh Yadav, Smita Sharma, Biswa Mohan Sahoo, Lipsa Das, Pradeep Kumar Kushwaha, Rakhi Singh, Garima Bhardwaj and Mamta Bansal. Their work appears in journals such as Energy Conversion and Management, Multimedia Tools and Applications and Advances in computational intelligence and robotics book series.
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.