Standout Papers

Random Forest:  A Classification and Regression Tool for Compound Classification and QSAR Model... 2003 2026 2010 2018 2.4k
  1. Random Forest:  A Classification and Regression Tool for Compound Classification and QSAR Modeling (2003)
    Vladimir Svetnik, Andy Liaw et al. Journal of Chemical Information and Computer Sciences
  2. Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction (2006)
    Anantha Prasad, Louis R. Iverson et al. Ecosystems
  3. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (2015)
    Junshui Ma, Robert P. Sheridan et al. Journal of Chemical Information and Modeling
  4. Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships (2016)
    Robert P. Sheridan, Wei Min Wang et al. Journal of Chemical Information and Modeling

Immediate Impact

18 by Nobel laureates 32 from Science/Nature 83 standout
Sub-graph 1 of 21

Citing Papers

Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
2023 StandoutNobel
Applying Classical, Ab Initio, and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries
2022 Standout
1 intermediate paper

Works of Andy Liaw being referenced

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
2015 Standout
Random Forest:  A Classification and Regression Tool for Compound Classification and QSAR Modeling
2003 Standout

Author Peers

Author Last Decade Papers Cites
Andy Liaw 1800 1720 862 30 6.3k
Richard F. Gunst 1196 1460 724 88 15.9k
Lennart Eriksson 3419 2056 555 97 12.5k
Richard J. Beckman 536 1990 417 67 14.6k
Max Kühn 1692 349 143 28 11.1k
Naomi Altman 2716 391 347 152 13.5k
Ron Wehrens 1726 304 247 130 6.4k
Oliver Sander 1318 373 191 54 5.3k
Douglas M. Hawkins 1383 1158 265 252 13.1k
Arthur E. Hoerl 1082 423 307 19 13.6k
Robert W. Kennard 1068 414 304 18 13.0k

All Works

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Rankless by CCL
2026