K. Lavanya
- Plant Science top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Daizy R. BatishRavinder Kumar KohliHarminder Pal SinghR. RameshC. DeisyShaurya BajajRamachandran ChelliahB. Umamaheswari
- Topics
- IoT-based Smart Home Systems (4 papers)Sentiment Analysis and Opinion Mining (3 papers)Plant responses to elevated CO2 (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Manufacturing SystemsPlant Growth Regulation
In The Last Decade
K. Lavanya
26 papers receiving 326 citations
Peers
Comparison fields: 5 of 86
- Plant Science 202
- Electrical and Electronic Engineering 37
- Artificial Intelligence 33
- Control and Systems Engineering 27
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by K. Lavanya
This map shows the geographic impact of K. Lavanya'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 K. Lavanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Lavanya more than expected).
Fields of papers citing papers by K. Lavanya
This network shows the impact of papers produced by K. Lavanya. 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 K. Lavanya. The network helps show where K. Lavanya may publish in the future.
Co-authorship network of co-authors of K. Lavanya
This figure shows the co-authorship network connecting the top 25 collaborators of K. Lavanya. A scholar is included among the top collaborators of K. Lavanya 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 K. Lavanya. K. Lavanya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | SIMULATION APPROACH TO DESIGN HIGH SENSITIVE NEMS BASED SENSOR FOR MOLECULAR BIOSENSING APPLICATIONS | 3 |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 19 | |
| 14 | 23 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | MORINGA OLEIFERA: A PLANT WITH MULTIPLE MEDICINAL USES AND FOOD PRESERVATIVE | 2 |
| 18 | 2 | |
| 19 | Air Pollution Tolerance Index Assessment of Yercaud Road Side Plants | 3 |
| 20 | 32 |
About K. Lavanya
K. Lavanya is a scholar working on Control and Systems Engineering, Pharmacology and Information Systems, having authored 30 papers that have together received 368 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Plant responses to elevated CO2 (3 papers). The work is most often cited by research in Plant Science (202 citations), Industrial and Manufacturing Engineering (22 citations) and Human-Computer Interaction (8 citations). K. Lavanya has collaborated with scholars based in India, Australia and Jordan. Frequent co-authors include Daizy R. Batish, Ravinder Kumar Kohli, Harminder Pal Singh, R. Ramesh, C. Deisy, Shaurya Bajaj, Ramachandran Chelliah, B. Umamaheswari, M. Krishnaveni and N. Ch. S. N. Iyengar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Manufacturing Systems and Plant Growth Regulation.
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.