José F. Moreno
Ecology · 2004–2019
A researcher in the Science corpus: 14 papers; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 171 citations into it; #3,987 of 10,717 by trust here, #1,234 by citations
- Global and Planetary Change — 122 citations into it; #4,996 of 10,225 by trust here, #2,281 by citations
- Plant Science — 122 citations into it; #6,538 of 8,232 by trust here, #2,917 by citations
- Environmental Engineering — 78 citations into it
- Analytical Chemistry — 22 citations into it; #1,152 of 1,254 by trust here, #498 by citations
- Artificial Intelligence — 20 citations into it
- Statistical Learning Theory — 16 citations into it
- Statistics and Probability — 12 citations into it
Whom José F. Moreno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Clement Atzberger
- Vladimir Naumovich Vapnik
- Michele Meroni
- Leo Breiman
- Robert Tibshirani
- Trevor J. Hastie
- Andrew K. Skidmore
- Alex Smola
Who trusts José F. Moreno overall
Papers from José F. Moreno's perspective
Ordered by how strongly the researchers José F. Moreno trusts endorse each paper. Same corpus, a different order for every researcher.
- Support-Vector Networks
- Random Forests
- Neural Networks for Pattern Recognition
- The Elements of Statistical Learning
- Bagging Predictors
- Statistical learning theory
- A training algorithm for optimal margin classifiers
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
Their papers
- Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. (2014) — 989 citations
- Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (2019) — 616 citations
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (2018) — 462 citations
- Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison (2015) — 363 citations
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015) — 709 citations
- Retrieval of sun-induced fluorescence using advanced spectral fitting methods (2015) — 165 citations
- A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems (2013) — 295 citations
- Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 (2012) — 515 citations
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content (2011) — 606 citations
- Performance of spectral fitting methods for vegetation fluorescence quantification (2010) — 189 citations
- Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications (2009) — 773 citations
- Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors (2008) — 659 citations
- Estimation of solar‐induced vegetation fluorescence from space measurements (2007) — 155 citations
- Robust support vector method for hyperspectral data classification and knowledge discovery (2004) — 305 citations