Luís S. Pereira

Global and Planetary Change · 2000–2021

A researcher in the Science corpus: 14 papers; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 39 citations into it; #1,391 of 10,225 by trust here, #2,189 by citations
• Soil Science — 30 citations into it; #629 of 2,166 by trust here, #749 by citations
• Ecology, Evolution, Behavior and Systematics — 8 citations into it; #1,533 of 6,648 by trust here, #2,407 by citations

Whom Luís S. Pereira trusts overall

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

1. A. Paulo
2. R. G. Allen
3. Frank Bickenbach
4. Pasquale Steduto
5. J. Ayars
6. Eckhardt Bode

Who trusts Luís S. Pereira overall

1. Jianzhu Li
2. A. Subedi
3. Elsa Moreira
4. C. Santos
5. P. Pérez
6. A. Paulo
7. Gonçalo Rodrigues
8. R. G. Allen
9. Shuhan Zhou
10. José L. Chávez

Papers from Luís S. Pereira's perspective

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

1. Daily reference evapotranspiration estimates by the Penman-Monteith equation in Southern Italy. Constant vs. variable canopy resistance
2. Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index (Irrigation science)
3. Modelling surface resistance from climatic variables
4. Water use by drip-irrigated late-season peaches (Irrigation science)
5. A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method
6. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model
7. Drought forecasting using the Standardized Precipitation Index
8. Prediction of SPI Drought Class Transitions Using Markov Chains
9. Drought class transition analysis through Markov and Loglinear models, an approach to early warning
10. Drought forecasting using feed-forward recursive neural network

Their papers

• Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization (2021) — 55 citations
• Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables (2020) — 90 citations
• Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes (2018) — 57 citations
• Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies (2014) — 143 citations
• Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization (2014) — 156 citations
• Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms (2014) — 60 citations
• Assessing economic impacts of deficit irrigation as related to water productivity and water costs (2009) — 172 citations
• Estimating crop coefficients from fraction of ground cover and height (2009) — 452 citations
• SPI-based drought category prediction using loglinear models (2008) — 176 citations
• Prediction of SPI Drought Class Transitions Using Markov Chains (2007) — 178 citations
• Model Validation, Crop Coefficients and Yield Response Factors for Maize Irrigation Scheduling based on Long-term Experiments (2006) — 68 citations
• A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method (2006) — 690 citations
• Drought class transition analysis through Markov and Loglinear models, an approach to early warning (2005) — 146 citations
• Modelling surface resistance from climatic variables (2000) — 111 citations