Ramazan Özçelik
Nature and Landscape Conservation · 2008–2018
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 33 citations into it
- Environmental Engineering — 26 citations into it
- Global and Planetary Change — 14 citations into it
- Mechanical Engineering — 14 citations into it
Whom Ramazan Özçelik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mahadev Sharma
- Hailemariam Temesgen
- Rafael Calama
- F. crecente-campo
- S. Meng
- Som Bohora
- Guillermo Trincado
- Hao Zang
- F. C. Dorado
- S. Huang
Who trusts Ramazan Özçelik overall
Papers from Ramazan Özçelik's perspective
Ordered by how strongly the researchers Ramazan Özçelik 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
- 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
- Developing and Validating Nonlinear Height-Diameter Models for Major Tree Species of Ontario's Boreal Forests
- Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations (European Journal of Forest Research)
- A comparison of alternative methods for estimating the self-thinning boundary line
- Prediction of tree diameter growth using quantile regression and mixed-effects models
- Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models
- Improved Calibration of Nonlinear Mixed-Effects Models Demonstrated on a Height Growth Function (Forestry sciences)
- Generalized height–diameter models—an application for major tree species in complex stands of interior British Columbia (European Journal of Forest Research)
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
- Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models (2013) — 115 citations
- Compatible stem volume and taper equations for Brutian pine, Cedar of Lebanon, and Cilicica fir in Turkey (2008) — 87 citations