Rupesh Gupta
Impact in
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
-
- Digital Imaging for Blood Diseases
Papers in
-
- Digital Imaging for Blood Diseases 15
- Neurology 14
- Brain Tumor Detection and Classification 14
- Co-authors
- Vatsala AnandKanwarpartap Singh GillNeha SharmaAvinash SharmaRahul SinghSheifali GuptaAnupma PrakashRahul Chauhan
- Journals
- Scientific Reports (2 papers)Biometrika (2 papers)Indian Journal of Science and Technology (2 papers)IEEE Transactions on Consumer Electronics (1 paper)Journal of Multivariate Analysis (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Rupesh Gupta
167 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 153
- Statistics and Probability 97
- Computer Vision and Pattern Recognition 233
- Health Information Management 49
- Neurology 83
- Artificial Intelligence 245
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 55 | |
| 16 | Effect of Inhibitors on the Blood taken from Earthy Surfaces and D.N.A. Profiling in Forensic Cases | 2017 | 1 |
| 17 | 2016 | 0 | |
| 18 | Study of Correlation, Magnitude of Genetic Diversity and Selection Indices in Popular Rice ( Oryza sativa L.) Landraces of Bangladesh | 2014 | 3 |
| 19 | 2004 | 3 | |
| 20 | 1994 | 27 |
About Rupesh Gupta
Rupesh Gupta is a scholar working on Computer Vision and Pattern Recognition, Neurology, Analytical Chemistry, Statistics and Probability and Health Information Management, having authored 210 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (43 papers), AI in cancer detection (17 papers), COVID-19 diagnosis using AI (16 papers), Spectroscopy and Chemometric Analyses (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 (97 citations), Computer Vision and Pattern Recognition (233 citations), Health Information Management (49 citations), Neurology (83 citations) and Artificial Intelligence (245 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 Scientific Reports, Biometrika, Indian Journal of Science and Technology, IEEE Transactions on Consumer Electronics and Journal of Multivariate Analysis.
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.