Ram P. Sharma
Nature and Landscape Conservation · 2013–2019
A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 102 citations into it; #3,185 of 6,941 by trust here, #4,973 by citations
- Environmental Engineering — 55 citations into it; #2,646 of 5,479 by trust here, #3,356 by citations
- Global and Planetary Change — 51 citations into it
- Mechanical Engineering — 40 citations into it; #4,163 of 8,300 by trust here, #6,441 by citations
Whom Ram P. Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Liyong Fu
- Lauri Mehtätalo
- Paula Soares
- Hirotugu Akaike
- Rafael Calama
- Mahadev Sharma
- Margarida Tomé
- P. Adame
- F. crecente-campo
- Paul Beier
Who trusts Ram P. Sharma overall
Papers from Ram P. Sharma's perspective
Ordered by how strongly the researchers Ram P. Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- Mixed-Effects Models in S and S-Plus
- Multilevel Nonlinear Mixed-Effects Models for the Modeling of Earlywood and Latewood Microfibril Angle (Forestry sciences)
- Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
- A non-linear hierarchical mixed model to describe tree height growth (European Journal of Forest Research)
- A new look at the statistical model identification
- Model Selection and Inference: A Practical Information-Theoretic Approach
- Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach
- A multilevel individual tree basal area increment model for aspen in boreal mixedwood stands
- Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations (European Journal of Forest Research)
- Development of ecoregion-based height–diameter models for white spruce in boreal forests
Their papers
- A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data (2019) — 48 citations
- A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China (2017) — 63 citations
- A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China (2017) — 84 citations
- Individual tree crown width models for Norway spruce and European beech in Czech Republic (2016) — 110 citations
- Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China (2013) — 115 citations