Rupesh Gupta
Impact in
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
Papers in
-
- Smart Agriculture and AI 46
- Leaf Properties and Growth Measurement 10
-
- Digital Imaging for Blood Diseases 15
- Co-authors
- Vatsala Anand (39 shared papers)Kanwarpartap Singh Gill (41 shared papers)Neha Sharma (62 shared papers)Avinash Sharma (14 shared papers)Rahul Singh (24 shared papers)Sheifali Gupta (22 shared papers)Anupma Prakash (1 shared paper)Rahul Chauhan (32 shared papers)
- Journals
- Biometrika (2 papers)Indian Journal of Science and Technology (2 papers)Scientific Reports (2 papers)Journal of Statistical Computation and Simulation (1 paper)International journal of greenhouse gas control (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Rupesh Gupta
175 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 155
- Statistics and Probability 98
- Health Information Management 51
- Computer Vision and Pattern Recognition 243
- Neurology 84
- Radiology, Nuclear Medicine and Imaging 175
Countries citing papers authored by Rupesh Gupta
This map shows the geographic impact of Rupesh 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 Rupesh Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupesh Gupta more than expected).
Fields of papers citing papers by Rupesh Gupta
This network shows the impact of papers produced by Rupesh 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 Rupesh Gupta. The network helps show where Rupesh Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupesh Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 72 | |
| 2 | 1999 | 68 | |
| 3 | 2023 | 66 | |
| 4 | 2022 | 57 | |
| 5 | 2021 | 42 | |
| 6 | 2007 | 40 | |
| 7 | 2021 | 38 | |
| 8 | 2022 | 35 | |
| 9 | 1999 | 33 | |
| 10 | 2023 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 1994 | 27 | |
| 13 | 2023 | 27 | |
| 14 | 2013 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2023 | 26 | |
| 17 | 2014 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2023 | 22 | |
| 20 | 1987 | 20 |
About Rupesh Gupta
Rupesh Gupta is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 218 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (46 papers), AI in cancer detection (18 papers), Spectroscopy and Chemometric Analyses (17 papers), COVID-19 diagnosis using AI (16 papers), Digital Imaging for Blood Diseases (15 papers), Brain Tumor Detection and Classification (14 papers), Leaf Properties and Growth Measurement (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Statistics and Probability (98 citations), Health Information Management (51 citations), Computer Vision and Pattern Recognition (243 citations), Neurology (84 citations) and Radiology, Nuclear Medicine and Imaging (175 citations). Rupesh Gupta has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Vatsala Anand, Kanwarpartap Singh Gill, Neha Sharma, Avinash Sharma, Rahul Singh, Sheifali Gupta, Anupma Prakash, Rahul Chauhan, Dilip Roy and Subhash C. Kochar. Their work appears in journals such as Biometrika, Indian Journal of Science and Technology, Scientific Reports, Journal of Statistical Computation and Simulation and International journal of greenhouse gas control.
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.