Standout Papers

Chemprop: A Machine Learning Package for Chemical Property Prediction 2023 2026 2024196
  1. Chemprop: A Machine Learning Package for Chemical Property Prediction (2023)
    Esther Heid, Kevin P. Greenman et al. Journal of Chemical Information and Modeling

Immediate Impact

3 by Nobel laureates 2 from Science/Nature 63 standout
Sub-graph 1 of 22

Citing Papers

Bamboo fiber-derived carbon support for the immobilization of Pt nanoparticles to enhance hydrogen evolution reaction
2025 Standout
Environmental Sustainability of Natural Biopolymer‐Based Electrolytes for Lithium Ion Battery Applications
2025 Standout
2 intermediate papers

Works of Esther Heid being referenced

Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors
2020
Toward Prediction of Electrostatic Parameters for Force Fields That Explicitly Treat Electronic Polarization
2019

Author Peers

Author Last Decade Papers Cites
Esther Heid 457 125 361 237 39 948
Jonny Proppe 556 147 217 187 31 990
Alberto Fabrizio 634 178 224 111 27 975
Alexander A. Oliferenko 174 75 247 303 52 1.1k
Marina Macchiagodena 152 157 151 219 35 805
Ruslan Petrukhin 264 43 440 130 17 1.1k
Andre Lomaka 210 39 290 127 21 941
Gregor N. C. Simm 481 145 287 194 10 749
James L. McDonagh 409 184 210 146 23 847
Alain C. Vaucher 763 110 504 298 33 1.1k
André Melo 255 101 221 376 71 1.1k

All Works

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Rankless by CCL
2026