Vinay Gautam
- Plant Science top 5%
- Analytical Chemistry top 2%
- Artificial Intelligence top 10%
- Ecology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Naresh Kumar TrivediPrabhjot KaurShilpi HarnalAbhineet AnandNitin GoyalMukund Pratap SinghSantar Pal SinghDivya Anand
- Topics
- Smart Agriculture and AI (36 papers)Spectroscopy and Chemometric Analyses (15 papers)Leaf Properties and Growth Measurement (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- IndiaIndonesiaSaudi Arabia
In The Last Decade
Vinay Gautam
69 papers receiving 829 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Plant Science 595
- Analytical Chemistry 211
- Artificial Intelligence 97
- Ecology 89
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Vinay Gautam
This map shows the geographic impact of Vinay Gautam'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 Vinay Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Gautam more than expected).
Fields of papers citing papers by Vinay Gautam
This network shows the impact of papers produced by Vinay Gautam. 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 Vinay Gautam. The network helps show where Vinay Gautam may publish in the future.
Co-authorship network of co-authors of Vinay Gautam
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Gautam. A scholar is included among the top collaborators of Vinay Gautam 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 Vinay Gautam. Vinay Gautam 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 | 2 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 45 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Networkbreakdown → | 235 |
| 20 | SOCIAL NETWORKING IN SMARTPHONE THROUGH A PROTOTYPE IMPLEMENTATION USING ANDROID | 0 |
About Vinay Gautam
Vinay Gautam is a scholar working on Analytical Chemistry, Plant Science and Health Information Management, having authored 90 papers that have together received 881 indexed citations. Recurring topics across this work include Smart Agriculture and AI (36 papers), Spectroscopy and Chemometric Analyses (15 papers) and Leaf Properties and Growth Measurement (12 papers). The work is most often cited by research in Analytical Chemistry (211 citations), Plant Science (595 citations) and Health Information Management (25 citations). Vinay Gautam has collaborated with scholars based in India, Indonesia and Saudi Arabia. Frequent co-authors include Naresh Kumar Trivedi, Prabhjot Kaur, Shilpi Harnal, Abhineet Anand, Nitin Goyal, Mukund Pratap Singh, Santar Pal Singh, Divya Anand, Seifedine Kadry and Hani Moaiteq Aljahdali. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.