Meenu Gupta
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Health Information Management top 2%
- Co-authors
- Rachna JainSoham TanejaRakesh KumarD. Jude HemanthGopal ChaudharyVishal GuptaAhmed J. ObaidPritee Parwekar
- Topics
- COVID-19 diagnosis using AI (18 papers)AI in cancer detection (14 papers)Artificial Intelligence in Healthcare (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaIraqUnited States
In The Last Decade
Meenu Gupta
139 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 465
- Radiology, Nuclear Medicine and Imaging 458
- Computer Vision and Pattern Recognition 222
- Information Systems 133
- Health Information Management 99
Countries citing papers authored by Meenu Gupta
This map shows the geographic impact of Meenu 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 Meenu Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meenu Gupta more than expected).
Fields of papers citing papers by Meenu Gupta
This network shows the impact of papers produced by Meenu 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 Meenu Gupta. The network helps show where Meenu Gupta may publish in the future.
Co-authorship network of co-authors of Meenu Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Meenu Gupta. A scholar is included among the top collaborators of Meenu 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 Meenu Gupta. Meenu 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 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | IoT based Smart Healthcare Monitoring System: A Systematic Review | 8 |
| 19 | Chronic Diseases Prediction Using Machine Learning – A Review | 5 |
| 20 | Insider and flooding attack in cloud: A discussion | 1 |
About Meenu Gupta
Meenu Gupta is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Neurology, having authored 175 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (18 papers), AI in cancer detection (14 papers) and Artificial Intelligence in Healthcare (11 papers). The work is most often cited by research in Health Informatics (77 citations), Health Information Management (99 citations) and Radiology, Nuclear Medicine and Imaging (458 citations). Meenu Gupta has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include Rachna Jain, Soham Taneja, Rakesh Kumar, D. Jude Hemanth, Gopal Chaudhary, Vishal Gupta, Ahmed J. Obaid, Rakesh Kumar, Pritee Parwekar and Jafar A. Alzubi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.