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Alán Aspuru-Guzik

Alán Aspuru-Guzik

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Engineering and Technology
Canada
2026

D-Index & Metrics

Physics

D-Index
117
Citations
73118
World Ranking
899
National Ranking
21

Engineering and Technology

D-Index
130
Citations
88676
World Ranking
29
National Ranking
2

Alán Aspuru-Guzik publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Alán Aspuru-Guzik sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 600 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Alán Aspuru-Guzik D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Alán Aspuru-Guzik sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 130 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Canada Leader Award
  • 2025 - Research.com Engineering and Technology in Canada Leader Award
  • 2023 - Research.com Engineering and Technology in Canada Leader Award
  • 2022 - Research.com Engineering and Technology in Canada Leader Award
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - Fellow of American Physical Society (APS) Citation For his contributions at the interface of quantum information and chemistry and biology, including theory and experiment on quantum simulation for molecules, the development of the undertsanding of quantum coherence in photosynthesis, and density functional theory for open quantum systems
  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Alán Aspuru-Guzik is affiliated with the University of Toronto in Canada. Their research spans several fields with a primary focus on Computer Science and Materials Science. Within these broader disciplines, they have contributed extensively to subfields including Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Molecular Biology.

The scientist's main topics of work reflect a strong interdisciplinary approach, combining computational methods and innovative scientific techniques. These topics include:

  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Protein Structure and Dynamics
  • Scientific Computing and Data Management

Among recent publications, several stand out due to their impact and the venues in which they appeared. Key papers include:

  • "Quantum computational chemistry," 2020, Reviews of Modern Physics
  • "Noisy intermediate-scale quantum algorithms," 2022, Reviews of Modern Physics
  • "Rational design of layered oxide materials for sodium-ion batteries," 2020, Science
  • "QSAR without borders," 2020, Chemical Society Reviews
  • "Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation," 2020, Repository KITopen (Karlsruhe Institute of Technology)

Publication venues where Alán Aspuru-Guzik has frequently published include:

  • arXiv (Cornell University)
  • Matter
  • Zenodo (CERN European Organization for Nuclear Research)
  • Digital Discovery
  • Chemical Science

They have collaborated regularly with several co-authors, with repeated joint works alongside:

  • Robert Pollice
  • Riley J. Hickman
  • Cyrille Lavigne
  • Florian Häse
  • Pascal Friederich

Alán Aspuru-Guzik has also contributed to academic literature through book publications, including Quantum Computing for Quantum Chemistry, to be published by the American Chemical Society in 2025.

The scientist has been recognized as a fellow by several organizations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS) in 2017
  • Fellow of the American Physical Society (APS) in 2012, with a citation acknowledging contributions at the interface of quantum information, chemistry, and biology, including quantum simulation for molecules and density functional theory for open quantum systems
  • Fellow of the Alfred P. Sloan Foundation in 2009

Best Publications

  • A variational eigenvalue solver on a photonic quantum processor

    Alberto Peruzzo;Jarrod Ryan McClean;Peter Shadbolt;Man-Hong Yung

  • Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

    Rafael Gómez-Bombarelli;Jennifer Nansean Wei;David Duvenaud;José Miguel Hernández-Lobato

  • Convolutional networks on graphs for learning molecular fingerprints

    David Duvenaud;Dougal Maclaurin;Jorge Aguilera-Iparraguirre;Rafael Gómez-Bombarelli

  • Advances in molecular quantum chemistry contained in the Q-Chem 4 program package

    Yihan Shao;Zhengting Gan;Evgeny Epifanovsky;Andrew T. B. Gilbert

  • The theory of variational hybrid quantum-classical algorithms

    Jarrod Ryan McClean;Jonathan Romero;Ryan Joseph Babbush;Alan Aspuru-Guzik

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

    Benjamin Sanchez-Lengeling;Alán Aspuru-Guzik;Alán Aspuru-Guzik

  • A metal-free organic–inorganic aqueous flow battery

    Brian Thomas Huskinson;Michael Marshak;Changwon Suh;Suleyman Er

  • Quantum computational chemistry

    Sam McArdle;Suguru Endo;Alán Aspuru-Guzik;Simon C. Benjamin

  • Simulated quantum computation of molecular energies.

    Alan Aspuru-Guzik;Alan Aspuru-Guzik;Alan Aspuru-Guzik;Anthony Dutoi;Anthony Dutoi;Anthony Dutoi;Peter John Love;Peter John Love;Peter John Love;Martin Head-Gordon;Martin Head-Gordon;Martin Head-Gordon

  • Environment-assisted quantum walks in photosynthetic energy transfer.

    Masoud Mohseni;Patrick Rebentrost;Seth Lloyd;Alán Aspuru-Guzik

  • Quantum Chemistry in the Age of Quantum Computing.

    Yudong Cao;Jonathan Romero;Jonathan P. Olson;Matthias Degroote;Matthias Degroote

  • Rational design of layered oxide materials for sodium-ion batteries

    Chenglong Zhao;Qidi Wang;Zhenpeng Yao;Jianlin Wang

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

    Alex Zhavoronkov;Yan A Ivanenkov;Alex Aliper;Mark S Veselov

  • Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

    Evgeny Epifanovsky;Andrew T.B. Gilbert;Andrew T.B. Gilbert;Xintian Feng;Xintian Feng;Joonho Lee

  • Tuning charge transport in solution-sheared organic semiconductors using lattice strain

    Gaurav Giri;Eric Verploegen;Eric Verploegen;Stefan C. B. Mannsfeld;Sule Atahan-Evrenk

  • Scalable Quantum Simulation of Molecular Energies

    Peter O'Malley;Ryan Babbush;Ian Kivlichan;Jonathan Romero

  • High Electrical Conductivity in Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2, a Semiconducting Metal–Organic Graphene Analogue

    Dennis Sheberla;Lei Sun;Martin A. Blood-Forsythe;Süleyman Er

  • Photonic quantum simulators

    Alán Aspuru-Guzik;Philip Walther

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

    Rafael Gómez-Bombarelli;Jorge Aguilera-Iparraguirre;Timothy D. Hirzel;David Duvenaud

  • Towards quantum chemistry on a quantum computer

    Bp P. Lanyon;James D. Whitfield;Gg G. Gillett;Me E. Goggin

  • Environment-assisted quantum transport

    Patrick Rebentrost;Masoud Mohseni;Ivan Kassal;Seth Lloyd

Frequent Co-Authors

Michael J. Aziz
Michael J. Aziz Harvard University
Roy G. Gordon
Roy G. Gordon Harvard University
William A. Lester
William A. Lester University of California, Berkeley
Christoph J. Brabec
Christoph J. Brabec University of Erlangen-Nuremberg
Rienk van Grondelle
Rienk van Grondelle Vrije Universiteit Amsterdam
Angel Rubio
Angel Rubio Max Planck Institute for the Structure and Dynamics of Matter
Zhenan Bao
Zhenan Bao Stanford University
David Duvenaud
David Duvenaud University of Toronto
Gregory D. Scholes
Gregory D. Scholes Princeton University

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