World's Best Scientists 2026 revealed!
Machine Learning: Science and Technology
H-index 36

Machine Learning: Science and Technology

2632-2153

Published by: IOP Publishing

https://iopscience.iop.org/journal/2632-2153

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 293 59 77 20
Engineering and Technology 455 22 39 18

Additional Metrics

Number of Best Scientists*: 220
Documents by Best Scientists*: 278
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 41
SCIMAGO SJR: 1.119
Impact Factor: 4.6

Top Publications

  • Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

    Mario Krenn;Florian Häse;AkshatKumar Nigam;Pascal Friederich;Pascal Friederich

    (2020)
    605 Citations
  • Graph neural networks in particle physics

    Jonathan Shlomi;Peter W. Battaglia;Jean-Roch Vlimant

    (2021)
    371 Citations
  • Graph networks for molecular design

    Rocío Mercado;Tobias Rastemo;Tobias Rastemo;Edvard Lindelöf;Edvard Lindelöf;Günter Klambauer

    (2021)
    151 Citations
  • Methods for comparing uncertainty quantifications for material property predictions

    Kevin Tran;Willie Neiswanger;Junwoong Yoon;Qingyang Zhang

    (2020)
    145 Citations
  • Unified representation of molecules and crystals for machine learning

    (2022)
    140 Citations
  • Deeptime: a Python library for machine learning dynamical models from time series data

    Moritz Hoffmann;Martin Konrad Scherer;Tim Hempel;Andreas Mardt

    (2021)
    84 Citations
  • How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?

    (2022)
    80 Citations
  • Rediscovering orbital mechanics with machine learning

    (2022)
    76 Citations
  • Olympus: a benchmarking framework for noisy optimization and experiment planning

    Florian Häse;Matteo Aldeghi;Riley J. Hickman;Loïc M. Roch

    (2021)
    67 Citations

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Best Scientists Contributing to This Journal

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