Alán Aspuru‐Guzik

Active 1997–2026

Also published as
Alán Aspuru-Guzik · Alan Aspuru-Guzik · Alan Aspuru‐Guzik · Alán Aspuru−Guzik
352
Papers
71,139
Citations
113
h-index
278
i10-index

Citations

Citations per year for Alán Aspuru‐Guzik1911: 1 citations1965: 1 citations1967: 3 citations1980: 3 citations1989: 2 citations1994: 4 citations1995: 3 citations1997: 6 citations1999: 2 citations2001: 2 citations2002: 8 citations2004: 3 citations2005: 3 citations2006: 5 citations2007: 11 citations2008: 24 citations2009: 50 citations2010: 113 citations2011: 181 citations2012: 303 citations2013: 261 citations2014: 397 citations2015: 342 citations2016: 479 citations2017: 622 citations2018: 1,165 citations2019: 1,921 citations2020: 2,908 citations2021: 3,601 citations2022: 3,534 citations2023: 3,614 citations2024: 4,363 citations2025: 3,350 citations2026: 721 citations1912–1964: no citations, so these years are not shown1966: no citations, so this year is not shown1968–1979: no citations, so these years are not shown1981–1988: no citations, so these years are not shown1990–1993: no citations, so these years are not shown1996: no citations, so this year is not shown1998: no citations, so this year is not shown2000: no citations, so this year is not shown2003: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,512 citing papers, 24.2% of this breakdownChina: 2,982 citing papers, 13.1% of this breakdownGermany: 1,589 citing papers, 7% of this breakdownUnited Kingdom: 1,586 citing papers, 6.9% of this breakdownCanada: 938 citing papers, 4.1% of this breakdownJapan: 888 citing papers, 3.9% of this breakdownIndia: 692 citing papers, 3% of this breakdownItaly: 653 citing papers, 2.9% of this breakdownSwitzerland: 647 citing papers, 2.8% of this breakdownSpain: 592 citing papers, 2.6% of this breakdownSouth Korea: 536 citing papers, 2.3% of this breakdownFrance: 534 citing papers, 2.3% of this breakdown
0%24.2%Other 24.9%

Fields

  • Computer Science58.7%
  • Materials Science13%
  • Physics and Astronomy7.9%
  • Engineering7.2%
  • Biochemistry, Genetics and Molecular Biology5.1%
  • Medicine2%
  • Other6.1%

Topics

  • Quantum Computing Algorithms and Architecture12.7%
  • Quantum Information and Cryptography10.8%
  • Machine Learning in Materials Science7.7%
  • Computational Drug Discovery Methods7.6%
  • Quantum and electron transport phenomena2.9%
  • Neural Networks and Reservoir Computing2%
  • Other56.3%

Coauthors

All papers

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  1. A variational eigenvalue solver on a photonic quantum processor

    Authors: , , , , , , , - Nature Communications 2014 cited by 4,571

  2. Automatic chemical design using a data-driven continuous representation of molecules

    Authors: , , , , , , , , , - ACS Central Science 2018 cited by 3,038

  3. Noisy intermediate-scale quantum algorithms

    Authors: , , , , , , , , , , , , , - Reviews of Modern Physics 2022 cited by 1,653

  4. The theory of variational hybrid quantum-classical algorithms

    Authors: , , , - New Journal of Physics 2016 cited by 2,258

  5. Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

    Authors: , , - Advanced Quantum Technologies 2019 cited by 797

  6. Quantum Chemistry in the Age of Quantum Computing

    Authors: , , , , , , , , , , , , - Chemical Reviews 2019 cited by 1,419

  7. Quantum computational chemistry

    Authors: , , , , - Reviews of Modern Physics 2020 cited by 1,642

  8. Deep learning enables rapid identification of potent DDR1 kinase inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Biotechnology 2019 cited by 1,493

  9. Inverse molecular design using machine learning: Generative models for matter engineering

    Authors: , - Science 2018 cited by 2,148

  10. Simulated Quantum Computation of Molecular Energies

    Authors: , , , - Science 2005 cited by 1,466

  11. QSAR without borders

    Authors: , , , , , , , , , , , , , , , , , , - Chemical Society Reviews 2020 cited by 852

  12. AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Chemical Science 2023 cited by 326

  13. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru‐Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Žitnik, Anima Anandkumar, Stefano Ermon, Píetro Lió, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2025 cited by 141

  14. Potential of quantum computing for drug discovery

    Authors: , , - IBM Journal of Research and Development, IBM J. Res. Dev. 2018 cited by 351

  15. Quantum autoencoders for efficient compression of quantum data

    Authors: , , - Quantum Science and Technology 2017 cited by 501

  16. Convolutional Networks on Graphs for Learning Molecular Fingerprints

    Authors: , , , , , , - NIPS 2015 cited by 3,667

  17. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

    Authors: , , , , - arXiv (Cornell University), CoRR 2017 cited by 499

  18. Machine learning directed drug formulation development

    Authors: , , , , , - Advanced Drug Delivery Reviews 2021 cited by 305

  19. Machine learning models to accelerate the design of polymeric long-acting injectables

    Authors: , , , , , , - Nature Communications 2023 cited by 214

  20. Nanoparticle synthesis assisted by machine learning

    Authors: , , , , , - Nature Reviews Materials 2021 cited by 517

  21. Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab

    Authors: , , , , , , , , - Accounts of Chemical Research 2022 cited by 267

  22. Machine-learned potentials for next-generation matter simulations

    Authors: , , , - Nature Materials 2021 cited by 565

  23. Machine Learning for a Sustainable Energy Future

    Authors: , , , , , , , , - Nature Reviews Materials 2022 cited by 468

  24. Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Materials 2016 cited by 1,124