Shiva Mehta
- Plant Science top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Vinay KukrejaSatvik VatsAmit GuptaRishika YadavRicha GuptaVikrant SharmaManisha AeriDibyahash Bordoloi
- Topics
- Smart Agriculture and AI (98 papers)Plant Disease Management Techniques (36 papers)Brain Tumor Detection and Classification (24 papers)
- Journals
- International Journal of Gynecology & ObstetricsCurrent Medical Imaging Formerly Current Medical Imaging ReviewsBiomedical & Pharmacology Journal
In The Last Decade
Shiva Mehta
154 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Plant Science 548
- Artificial Intelligence 273
- Computer Vision and Pattern Recognition 139
- Information Systems 93
- Computer Networks and Communications 91
Countries citing papers authored by Shiva Mehta
This map shows the geographic impact of Shiva Mehta'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 Shiva Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiva Mehta more than expected).
Fields of papers citing papers by Shiva Mehta
This network shows the impact of papers produced by Shiva Mehta. 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 Shiva Mehta. The network helps show where Shiva Mehta may publish in the future.
Co-authorship network of co-authors of Shiva Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Mehta. A scholar is included among the top collaborators of Shiva Mehta 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 Shiva Mehta. Shiva Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 58 | |
| 19 | 23 | |
| 20 | 0 |
About Shiva Mehta
Shiva Mehta is a scholar working on Neurology, Plant Science and Computer Vision and Pattern Recognition, having authored 231 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (98 papers), Plant Disease Management Techniques (36 papers) and Brain Tumor Detection and Classification (24 papers). The work is most often cited by research in Plant Science (548 citations), Neurology (83 citations) and Analytical Chemistry (89 citations). Shiva Mehta has collaborated with scholars based in India, Zimbabwe and Oman. Frequent co-authors include Vinay Kukreja, Satvik Vats, Amit Gupta, Rishika Yadav, Richa Gupta, Vikrant Sharma, Manisha Aeri, Dibyahash Bordoloi, Ankit Bansal and Manika Manwal. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Current Medical Imaging Formerly Current Medical Imaging Reviews and Biomedical & Pharmacology Journal.
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.