Tek Maraseni

Environmental Engineering · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 50 citations into it; #3,692 of 5,479 by trust here, #2,998 by citations

Whom Tek Maraseni trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Pranab Kumar Sen
2. Francesco N Tubiello
3. Ravinesh C. Deo

Who trusts Tek Maraseni overall

1. Ravinesh C. Deo
2. Anurag Malik
3. Anil Kumar

Papers from Tek Maraseni's perspective

Ordered by how strongly the researchers Tek Maraseni trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adoption and economics of alternate wetting and drying water management for irrigated lowland rice.
2. The FAOSTAT database of greenhouse gas emissions from agriculture
3. Global water crisis and future food security in an era of climate change
4. Estimates of the Regression Coefficient Based on Kendall's Tau
5. Statistical Learning Theory
6. The Nature of Statistical Learning Theory
7. Solutions for a cultivated planet (Nature)
8. Neural Networks for Pattern Recognition
9. Non-CO2 greenhouse gases and climate change (Nature)
10. Data Analysis Using Regression and Multilevel/Hierarchical Models

Their papers

• Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm (2017) — 157 citations
• Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms (2019) — 90 citations
• Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach (2018) — 50 citations
• An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index (2018) — 75 citations
• An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production (2018) — 145 citations