Standout Papers

Unsupervised word embeddings capture latent knowledge from materials science literature 2018 2026 2020 2023 646
  1. Unsupervised word embeddings capture latent knowledge from materials science literature (2019)
    Vahe Tshitoyan, John Dagdelen et al. Nature
  2. Structured information extraction from scientific text with large language models (2024)
    John Dagdelen, Alexander Dunn et al. Nature Communications
  3. Matminer: An open source toolkit for materials data mining (2018)
    Logan Ward, Alexander Dunn et al. Computational Materials Science

Immediate Impact

5 by Nobel laureates 21 from Science/Nature 64 standout
Sub-graph 1 of 20

Citing Papers

Pseudo-nanostructure and trapped-hole release induce high thermoelectric performance in PbTe
2024 StandoutScience
Artificial intelligence and illusions of understanding in scientific research
2024 StandoutNature
4 intermediate papers

Works of Alexander Dunn being referenced

Machine Learning Chemical Guidelines for Engineering Electronic Structures in Half-Heusler Thermoelectric Materials
2020
Unsupervised word embeddings capture latent knowledge from materials science literature
2019 StandoutNature

Author Peers

Author Last Decade Papers Cites
Alexander Dunn 1280 290 291 339 14 1.8k
John Dagdelen 939 339 209 226 11 1.5k
Vahe Tshitoyan 900 307 238 264 12 1.4k
Sorelle A. Friedler 881 138 209 254 12 1.4k
Leigh Weston 1060 222 150 372 16 1.4k
Weike Ye 1185 92 331 430 14 1.5k
Mário R. G. Marques 1049 141 201 331 6 1.6k
Edward Kim 980 226 293 180 23 1.4k
Simon Batzner 1526 138 475 354 15 1.9k
Tanjin He 976 159 167 285 27 1.5k
Christoph Kreisbeck 814 145 266 332 25 1.6k

All Works

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Rankless by CCL
2026