Guillermo Trincado
Nature and Landscape Conservation · 2006–2018
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 35 citations into it; #2,285 of 6,941 by trust here, #3,783 by citations
- Environmental Engineering — 28 citations into it; #1,866 of 5,479 by trust here, #2,232 by citations
- Mechanical Engineering — 17 citations into it; #4,220 of 8,300 by trust here, #5,612 by citations
- Global and Planetary Change — 16 citations into it
Whom Guillermo Trincado trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lauri Mehtätalo
- O. Schabenberger
- Mahadev Sharma
- Rafael Calama
- Hailemariam Temesgen
- G. Montero
- Paula Soares
- S. Meng
- Som Bohora
Who trusts Guillermo Trincado overall
- Q. V. Cao
- Hao Zang
- Ramazan Özçelik
- Jing Wang
- Yuqing Yang
- Aaron Weiskittel
- Xiangdong Lei
- Mahadev Sharma
- S. Huang
- S. Meng
Papers from Guillermo Trincado's perspective
Ordered by how strongly the researchers Guillermo Trincado trusts endorse each paper. Same corpus, a different order for every researcher.
- Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
- A longitudinal height-diameter model for Norway spruce in Finland
- Height–Diameter Models Using Stand Characteristics for Pinus banksiana and Picea mariana
- Height–diameter equation for first rotation eucalypt plantations in Portugal
- My last words on taper equations
- Developing and Validating Nonlinear Height-Diameter Models for Major Tree Species of Ontario's Boreal Forests
- Comparative evaluation of five height–diameter models developed for black spruce and jack pine stand-types in terms of goodness-of-fit, lack-of-fit and predictive ability
- A generalized height–diameter model including random components for radiata pine plantations in northwestern Spain
- Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach
- Contemporary Statistical Models for the Plant and Soil Sciences
Their papers
- Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018) — 75 citations
- A multilevel individual tree basal area increment model for aspen in boreal mixedwood stands (2009) — 67 citations
- Nonlinear mixed-effects modeling of variable-exponent taper equations for lodgepole pine in Alberta, Canada (2009) — 77 citations
- Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations (2007) — 101 citations
- A Generalized Approach for Modeling and Localizing Stem Profile Curves (2006) — 151 citations