Rajni Jain
- Plant Science top 10%
- General Agricultural and Biological Sciences top 2%
- Analytical Chemistry top 5%
- Ecology
- Environmental Engineering top 10%
- Co-authors
- Sapna NigamAlka AroraRanjana AgrawalSudeep MarwahaSurajit ChattopadhyayGoutami ChattopadhyayVaibhav Kumar SinghS. S. Raju
- Topics
- Agricultural Economics and Practices (16 papers)Smart Agriculture and AI (14 papers)Data Mining Algorithms and Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBiometrics
- Partner nations
- IndiaBulgariaUnited States
In The Last Decade
Rajni Jain
63 papers receiving 674 citations
Peers
Comparison fields: 5 of 104
- Plant Science 336
- General Agricultural and Biological Sciences 119
- Analytical Chemistry 117
- Ecology 86
- Environmental Engineering 78
Countries citing papers authored by Rajni Jain
This map shows the geographic impact of Rajni Jain'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 Rajni Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajni Jain more than expected).
Fields of papers citing papers by Rajni Jain
This network shows the impact of papers produced by Rajni Jain. 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 Rajni Jain. The network helps show where Rajni Jain may publish in the future.
Co-authorship network of co-authors of Rajni Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Rajni Jain. A scholar is included among the top collaborators of Rajni Jain 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 Rajni Jain. Rajni Jain 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 70 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | Farmers and social perspective on optimal crop planning for ground water sustainability: a case of Punjab state in India. | 3 |
| 10 | AGRETL: Tool for ETL activities for agriculture domain | 1 |
| 11 | Online system for Integrated Pest Management on tomato in AGRIdaksh | 2 |
| 12 | 8 | |
| 13 | Socio-economic impact of mobile phone in agriculture: A case study of Karnal district | 1 |
| 14 | 3 | |
| 15 | Machine learning for forewarning crop diseases. | 13 |
| 16 | Rough Set Theory: Approach for Similarity Measure in Cluster Analysis. | 5 |
| 17 | Should Decision Trees be Learned using Rough Sets | 3 |
| 18 | Hybridized rough set framework for classification: an experimental view | 3 |
| 19 | Forecasting of rice yield using climatic variables. | 29 |
| 20 | 27 |
About Rajni Jain
Rajni Jain is a scholar working on General Agricultural and Biological Sciences, Soil Science and Analytical Chemistry, having authored 71 papers that have together received 738 indexed citations. Recurring topics across this work include Agricultural Economics and Practices (16 papers), Smart Agriculture and AI (14 papers) and Data Mining Algorithms and Applications (10 papers). The work is most often cited by research in General Agricultural and Biological Sciences (119 citations), Analytical Chemistry (117 citations) and Plant Science (336 citations). Rajni Jain has collaborated with scholars based in India, Bulgaria and United States. Frequent co-authors include Sapna Nigam, Alka Arora, Ranjana Agrawal, Sudeep Marwaha, Surajit Chattopadhyay, Goutami Chattopadhyay, Vaibhav Kumar Singh, S. S. Raju, Md. Ashraful Haque and Amrit Pal Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biometrics.
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.