Nitin Rai
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
- Weed Control and Herbicide Applications
-
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 11
- Date Palm Research Studies 4
- Plant Disease Management Techniques 3
- Leaf Properties and Growth Measurement 1
- Ecology 6
- Remote Sensing in Agriculture 6
- Co-authors
- Xin Sun (9 shared papers)Yu Zhang (2 shared papers)Sreekala G. Bajwa (2 shared papers)Leon Schumacher (1 shared paper)Xin Sun (1 shared paper)Billy G. Ram (1 shared paper)Kirk Howatt (4 shared papers)Michael Ostlie (3 shared papers)
- Journals
- Computers and Electronics in Agriculture (4 papers)Data in Brief (1 paper)Pest Management Science (1 paper)Journal of Agriculture and Food Research (1 paper)Journal of the ASABE (1 paper)
- Partner nations
- United StatesIndiaThailand
In The Last Decade
Nitin Rai
11 papers receiving 312 citations
Nitin Rai's Hit Papers
Peers
Comparison fields: 5 of 53
- Plant Science 260
- Analytical Chemistry 33
- Ecology 59
- Food Science 29
- Ecological Modeling 5
Countries citing papers authored by Nitin Rai
This map shows the geographic impact of Nitin Rai'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 Nitin Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Rai more than expected).
Fields of papers citing papers by Nitin Rai
This network shows the impact of papers produced by Nitin Rai. 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 Nitin Rai. The network helps show where Nitin Rai may publish in the future.
Co-authors
The 22 scholars most cited alongside Nitin Rai, 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 | Applications of deep learning in precision weed management: A review Hit paper breakdown → | 2023 | 141 |
| 2 | 2023 | 54 | |
| 3 | 2024 | 52 | |
| 4 | 2024 | 35 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Nitin Rai
Nitin Rai is a scholar working on Plant Science, Ecology, Analytical Chemistry, Molecular Biology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 318 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (6 papers), Date Palm Research Studies (4 papers), Plant Disease Management Techniques (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Biological Control of Invasive Species (1 paper) and Leaf Properties and Growth Measurement (1 paper). The work is most often cited by research in Plant Science (260 citations), Analytical Chemistry (33 citations), Ecology (59 citations), Food Science (29 citations) and Ecological Modeling (5 citations). Nitin Rai has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Xin Sun, Yu Zhang, Sreekala G. Bajwa, Leon Schumacher, Xin Sun, Billy G. Ram, Kirk Howatt, Michael Ostlie, Yu Zhang and María B. Villamil. Their work appears in journals such as Computers and Electronics in Agriculture, Data in Brief, Pest Management Science, Journal of Agriculture and Food Research and Journal of the ASABE.
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.