Rajeev Kumar Gupta
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Genetics and Plant Breeding 9
- Rice Cultivation and Yield Improvement 7
-
- AI in cancer detection 10
- Co-authors
- I. P. Abrol (8 shared papers)R. K. Pateriya (16 shared papers)P.S. Minhas (6 shared papers)D. K. Bhumbla (3 shared papers)Santosh Kumar Bharti (13 shared papers)Ramgopal Kashyap (2 shared papers)S. Banik (1 shared paper)Ashutosh Sharma (2 shared papers)
- Journals
- Soil Science (9 papers)Multimedia Tools and Applications (5 papers)Sustainability (3 papers)Agricultural Water Management (3 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Rajeev Kumar Gupta
161 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 137
- Soil Science 247
- Neurology 94
- Computer Networks and Communications 275
- Health Informatics 14
- Artificial Intelligence 345
Countries citing papers authored by Rajeev Kumar Gupta
This map shows the geographic impact of Rajeev Kumar 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 Rajeev Kumar Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Kumar Gupta more than expected).
Fields of papers citing papers by Rajeev Kumar Gupta
This network shows the impact of papers produced by Rajeev Kumar 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 Rajeev Kumar Gupta. The network helps show where Rajeev Kumar Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajeev Kumar 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 85 | |
| 2 | 2022 | 69 | |
| 3 | 1982 | 68 | |
| 4 | 2022 | 65 | |
| 5 | 2022 | 55 | |
| 6 | 2023 | 53 | |
| 7 | Physico-chemical constituents and engineering properties of food crops. | 1994 | 52 |
| 8 | 2013 | 51 | |
| 9 | 2022 | 48 | |
| 10 | 1992 | 43 | |
| 11 | 2018 | 42 | |
| 12 | 1993 | 41 | |
| 13 | 2018 | 40 | |
| 14 | 2023 | 36 | |
| 15 | 2021 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2022 | 28 | |
| 18 | 1987 | 24 | |
| 19 | 2011 | 23 | |
| 20 | 2022 | 22 |
About Rajeev Kumar Gupta
Rajeev Kumar Gupta is a scholar working on Plant Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 180 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), IoT and Edge/Fog Computing (11 papers), Agricultural Science and Fertilization (10 papers), AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Genetics and Plant Breeding (9 papers), Rice Cultivation and Yield Improvement (7 papers) and COVID-19 diagnosis using AI (7 papers). The work is most often cited by research in Soil Science (247 citations), Neurology (94 citations), Computer Networks and Communications (275 citations), Health Informatics (14 citations) and Artificial Intelligence (345 citations). Rajeev Kumar Gupta has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include I. P. Abrol, R. K. Pateriya, P.S. Minhas, D. K. Bhumbla, Santosh Kumar Bharti, Ramgopal Kashyap, S. Banik, Ashutosh Sharma, R. Kachru and Ruchi Shukla. Their work appears in journals such as Soil Science, Multimedia Tools and Applications, Sustainability, Agricultural Water Management 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.