Jakob Zscheischler

Global and Planetary Change · 2010–2020

A researcher in the Science corpus: 13 papers; trusts 62 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 147 citations into it; #5,301 of 10,225 by trust here, #2,281 by citations
• Artificial Intelligence — 99 citations into it; #6,000 of 35,345 by trust here, #6,266 by citations
• Causal Inference & Discovery — 72 citations into it; #73 of 364 by trust here, #39 by citations
• Atmospheric Science — 63 citations into it
• Statistics and Probability — 53 citations into it; #4,549 of 12,932 by trust here, #4,014 by citations
• Probabilistic & Bayesian Methods — 32 citations into it
• Signal Processing — 32 citations into it; #3,202 of 7,572 by trust here, #1,748 by citations
• Computational Theory and Mathematics — 21 citations into it; #4,777 of 12,182 by trust here, #2,489 by citations

Whom Jakob Zscheischler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dominik Janzing
2. Bernhard Schölkopf
3. Joris M. Mooij
4. Douglas Maraun
5. G. Salvadori
6. Alex J. Cannon
7. Patrik O. Hoyer
8. C. Piani
9. Christian Genest
10. K. Taylor

Who trusts Jakob Zscheischler overall

1. Dominik Janzing
2. Bernhard Schölkopf
3. Kailash Budhathoki
4. David Lopez-Paz
5. Michel Besserve
6. Doris Entner
7. Zenchao Hao
8. Jilles Vreeken
9. Kun Zhang
10. Joris M. Mooij

Papers from Jakob Zscheischler's perspective

Ordered by how strongly the researchers Jakob Zscheischler trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Information Theory: 1948-1998 - Guest Editorial
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Inferring deterministic causal relations (2010) — 202 citations
• Information-geometric approach to inferring causal directions (2012) — 317 citations
• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014) — 150 citations
• Testing whether linear equations are causal: A free probability theory approach (2011) — 41 citations
• A typology of compound weather and climate events (2020) — 1,312 citations
• The effect of univariate bias adjustment on multivariate hazard estimates (2019) — 101 citations
• Inferring causation from time series in Earth system sciences (2019) — 991 citations
• Dependence of drivers affects risks associated with compound events (2017) — 773 citations
• Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (2015) — 921 citations
• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014) — 445 citations
• A few extreme events dominate global interannual variability in gross primary production (2014) — 261 citations
• Factors controlling decomposition rates of fine root litter in temperate forests and grasslands (2014)
• Climate extremes and the carbon cycle (2013) — 1,816 citations