Laxmi Narayan Sethi
- Ocean Engineering top 5%
- Water Science and Technology top 10%
- Plant Science
- Soil Science top 10%
- Civil and Structural Engineering
- Co-authors
- Sudhindra N. PandaManoj K. NayakMrutyunjay PadhiaryD. Nagesh KumarSujit Kumar GhoshS. SarkarHimjyoti DuttaPayaswini Saikia
- Topics
- Smart Agriculture and AI (5 papers)Water resources management and optimization (3 papers)Water Systems and Optimization (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAgricultural Water ManagementWater Resources Management
- Partner nations
- India
In The Last Decade
Laxmi Narayan Sethi
15 papers receiving 337 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Ocean Engineering 138
- Water Science and Technology 119
- Plant Science 101
- Soil Science 71
- Civil and Structural Engineering 48
Countries citing papers authored by Laxmi Narayan Sethi
This map shows the geographic impact of Laxmi Narayan Sethi'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 Laxmi Narayan Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laxmi Narayan Sethi more than expected).
Fields of papers citing papers by Laxmi Narayan Sethi
This network shows the impact of papers produced by Laxmi Narayan Sethi. 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 Laxmi Narayan Sethi. The network helps show where Laxmi Narayan Sethi may publish in the future.
Co-authorship network of co-authors of Laxmi Narayan Sethi
This figure shows the co-authorship network connecting the top 25 collaborators of Laxmi Narayan Sethi. A scholar is included among the top collaborators of Laxmi Narayan Sethi 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 Laxmi Narayan Sethi. Laxmi Narayan Sethi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 13 | |
| 6 | 17 | |
| 7 | Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automationbreakdown → | 68 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 37 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 111 | |
| 17 | 68 |
About Laxmi Narayan Sethi
Laxmi Narayan Sethi is a scholar working on Plant Science, Ocean Engineering and Radiological and Ultrasound Technology, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Water resources management and optimization (3 papers) and Water Systems and Optimization (2 papers). The work is most often cited by research in Ocean Engineering (138 citations), Water Science and Technology (119 citations) and Soil Science (71 citations). Laxmi Narayan Sethi has collaborated with scholars based in India. Frequent co-authors include Sudhindra N. Panda, Manoj K. Nayak, Mrutyunjay Padhiary, D. Nagesh Kumar, Sujit Kumar Ghosh, S. Sarkar, Himjyoti Dutta, Payaswini Saikia, Kalpana Singh and Rishi Ranjan Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Agricultural Water Management and Water Resources Management.
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.