Gaurav Gupta
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Ahmad Waleed SalehiShakir KhanFrank HararyPreety BaglatTamanna SiddiquiAbrar AlmjallyBayan AlabduallahA. Mellit
- Topics
- AI in cancer detection (10 papers)IoT and Edge/Fog Computing (8 papers)Brain Tumor Detection and Classification (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Gaurav Gupta
79 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 376
- Computer Vision and Pattern Recognition 252
- Radiology, Nuclear Medicine and Imaging 224
- Neurology 182
- Computer Networks and Communications 148
Countries citing papers authored by Gaurav Gupta
This map shows the geographic impact of Gaurav 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 Gaurav Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Gupta more than expected).
Fields of papers citing papers by Gaurav Gupta
This network shows the impact of papers produced by Gaurav 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 Gaurav Gupta. The network helps show where Gaurav Gupta may publish in the future.
Co-authorship network of co-authors of Gaurav Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Gupta. A scholar is included among the top collaborators of Gaurav 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 Gaurav Gupta. Gaurav 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 | 0 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 62 | |
| 10 | 32 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 14 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 26 | |
| 20 | Digital Forensic Analysis of E-Mails: A Trusted E-Mail Protocol | 9 |
About Gaurav Gupta
Gaurav Gupta is a scholar working on Health Information Management, Neurology and Computer Networks and Communications, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Health Informatics (42 citations), Developmental Biology (55 citations) and Neurology (182 citations). Gaurav Gupta has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Ahmad Waleed Salehi, Shakir Khan, Frank Harary, Preety Baglat, Tamanna Siddiqui, Abrar Almjally, Bayan Alabduallah, A. Mellit, Hadeel Alsolai and Manju Khari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.