Standout Papers

Explainable Machine Learning for Scientific Insights and Discoveries 2020 2026 2022 2024520
  1. Explainable Machine Learning for Scientific Insights and Discoveries (2020)
    Ribana Roscher, Bastian Bohn et al. IEEE Access
  2. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems (2021)
    Laura von Rueden, Sebastian Mayer et al. IEEE Transactions on Knowledge and Data Engineering

Immediate Impact

1 by Nobel laureates 5 from Science/Nature 59 standout
Sub-graph 1 of 23

Citing Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
1 intermediate paper

Works of Jochen Garcke being referenced

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
2021 Standout

Author Peers

Author Last Decade Papers Cites
Jochen Garcke 227 481 123 191 52 1.6k
Chunguo Wu 189 340 77 149 42 1.2k
Valeria V. Krzhizhanovskaya 177 370 113 89 114 2.0k
Anima Anandkumar 195 468 363 160 84 1.7k
Qi Liu 131 367 38 175 66 1.7k
Hong Chen 132 600 131 104 70 1.2k
Věra Kůrková 138 790 259 208 57 1.5k
Paul Bratley 89 329 148 354 35 2.2k
Zaer S. Abo‐Hammour 95 384 164 127 27 1.3k
В. Ф. Писаренко 194 281 85 62 67 2.0k
Ilias Bilionis 131 298 83 274 84 2.0k

All Works

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2026