Markus Reichstein
Global and Planetary Change · 2002–2023
A researcher in the Science corpus: 39 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 418 citations into it; #2,854 of 10,225 by trust here, #111 by citations
- Nature and Landscape Conservation — 256 citations into it; #5,797 of 6,941 by trust here, #627 by citations
- Atmospheric Science — 166 citations into it
- Plant Science — 130 citations into it; #4,850 of 8,232 by trust here, #253 by citations
- Ecology — 129 citations into it
- Soil Science — 76 citations into it; #1,950 of 2,166 by trust here, #1,186 by citations
- Statistics and Probability — 21 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Markus Reichstein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Dario Papale
- Dennis D. Baldocchi
- Tin Kam Ho
- Hirotugu Akaike
- Wolfgang Knorr
- Andrew D. Richardson
- Yoav Freund
- Melinda D. Smith
- Jens Kattge
Who trusts Markus Reichstein overall
- Dennis D. Baldocchi
- Martin Jung
- R. Moffat
- M. Carbone
- Rajendra P. Sishodia
- Zhongrun Xiang
- Thomas Wutzler
- Kun Zhang
- Andrew D. Richardson
- Martin G. Schultz
Papers from Markus Reichstein's perspective
Ordered by how strongly the researchers Markus Reichstein trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep learning and process understanding for data-driven Earth system science (2019) — 4,521 citations
- Microbial carbon use efficiency promotes global soil carbon storage (2023) — 700 citations
- A unified vegetation index for quantifying the terrestrial biosphere (2021) — 669 citations
- The COVID-19 lockdowns: a window into the Earth System (2020) — 207 citations
- Inferring causation from time series in Earth system sciences (2019) — 991 citations
- TRY plant trait database - enhanced coverage and open access. (2019) — 1,771 citations
- The FLUXCOM ensemble of global land-atmosphere energy fluxes (2018) — 662 citations
- Basic and extensible post-processing of eddy covariance flux data with REddyProc (2018) — 846 citations
- Compensatory water effects link yearly global land CO2 sink changes to temperature (2017) — 651 citations
- Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms (2016) — 715 citations
- BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography (2015) — 204 citations
- Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (2015) — 921 citations
- The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink (2015) — 1,374 citations
- A few extreme events dominate global interannual variability in gross primary production (2014) — 261 citations
- Global covariation of carbon turnover times with climate in terrestrial ecosystems (2014) — 860 citations
- Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology (2013) — 502 citations
- Earlier springs decrease peak summer productivity in North American boreal forests (2013) — 227 citations
- Climate extremes and the carbon cycle (2013) — 1,816 citations
- A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape-scale heterogeneity (2013) — 552 citations
- A framework for benchmarking land models (2012) — 330 citations