World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
38612
World Ranking
1315
National Ranking
695

Hartmut Neven publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hartmut Neven sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Hartmut Neven D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hartmut Neven sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Hartmut Neven is affiliated with Google in the United States. Their research spans multiple domains within computer science and physics, with a focus on quantum computing and related fields.

Neven's main fields of study include:

  • Computer Science
  • Physics and Astronomy

The scientist's subfields of study reflect a blend of quantum physics and advanced computational theory, including:

  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Computational Theory and Mathematics
  • Nuclear and High Energy Physics
  • Statistical and Nonlinear Physics

The primary topics covered in their work focus on quantum technologies and their computational applications. These topics are:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum many-body systems
  • Quantum and electron transport phenomena
  • Neural Networks and Reservoir Computing
  • Quantum-Dot Cellular Automata
  • Quantum Mechanics and Applications

Neven has contributed frequently to several scientific venues. The most common publication platforms are:

  • arXiv (Cornell University)
  • Nature
  • Science
  • PRX Quantum
  • Physical Review Letters

Significant recent papers authored or coauthored by Neven include:

  • "Quantum advantage in learning from experiments," 2022, Science
  • "Data for 'Realizing topologically ordered states on a quantum processor'," 2021, Zenodo (CERN European Organization for Nuclear Research)
  • "Exponential suppression of bit or phase errors with cyclic error correction," 2021, Nature
  • "Time-crystalline eigenstate order on a quantum processor," 2021, Nature
  • "TensorFlow Quantum: A Software Framework for Quantum Machine Learning," 2020, arXiv (Cornell University)

Collaborations form a significant part of Neven's work, with frequent coauthors including:

  • Ryan Babbush
  • Sergio Boixo
  • Vadim Smelyanskiy
  • Jarrod R. McClean
  • Kevin J. Satzinger

Best Publications

  • Quantum supremacy using a programmable superconducting processor

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Supplementary information for "Quantum supremacy using a programmable superconducting processor"

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Barren Plateaus in Quantum Neural Network Training Landscapes

    Jarrod R. McClean;Sergio Boixo;Vadim N. Smelyanskiy;Ryan Babbush

  • Characterizing quantum supremacy in near-term devices

    Sergio Boixo;Sergei V. Isakov;Vadim N. Smelyanskiy;Ryan Babbush

  • Scalable Quantum Simulation of Molecular Energies

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

  • Power of data in quantum machine learning

    Hsin-Yuan (Robert) Huang;Hsin-Yuan (Robert) Huang;Michael Blythe Broughton;Masoud Mohseni;Ryan Babbush

  • Hartree-Fock on a superconducting qubit quantum computer

    Frank Arute;Kunal Arya

  • Hartree-Fock on a superconducting qubit quantum computer

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • What is the Computational Value of Finite Range Tunneling

    Vasil S. Denchev;Sergio Boixo;Sergei V. Isakov;Nan Ding

  • PhotoOCR: Reading Text in Uncontrolled Conditions

    Alessandro Bissacco;Mark Cummins;Yuval Netzer;Hartmut Neven

  • A blueprint for demonstrating quantum supremacy with superconducting qubits.

    C. Neill;P. Roushan;K. Kechedzhi;K. Kechedzhi;S. Boixo

  • Face recognition from video images

    Egor Valerievich Elagin;Thomas Maurer;Hartmut Neven

  • Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

    Matthew P. Harrigan;Kevin J. Sung;Kevin J. Sung;Matthew Neeley;Kevin J. Satzinger

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Classification with Quantum Neural Networks on Near Term Processors

    Edward Farhi;Hartmut Neven

  • Tour the world: Building a web-scale landmark recognition engine

    Yan-Tao Zheng;Ming Zhao;Yang Song;Hartwig Adam

  • Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Image-based search engine for mobile phones with camera

    Hartmut Neven

  • Quantum advantage in learning from experiments.

    Hsin-Yuan Huang;Michael Broughton;Jordan Cotler;Sitan Chen

  • Mobile image-based information retrieval system

    Hartmut Neven

  • A blueprint for demonstrating quantum supremacy with superconducting qubits

    C. Neill;P. Roushan;K. Kechedzhi;S. Boixo

  • SISTEMA Y PROCEDIMIENTO MULTIBIOMETRICOS BASADOS EN UNA UNICA IMAGEN.

    Neven Hartmut;Hartwig Adam

Frequent Co-Authors

John M. Martinis
John M. Martinis University of California, Santa Barbara
Austin G. Fowler
Austin G. Fowler Google (United States)
Rami Barends
Rami Barends Google (United States)
Daniel Sank
Daniel Sank Google (United States)
Hartwig Adam
Hartwig Adam Google (United States)
Amit Vainsencher
Amit Vainsencher Google (United States)
Alexander N. Korotkov
Alexander N. Korotkov Google (United States)
Nathan Wiebe
Nathan Wiebe University of Toronto
Seon Jeong Kim
Seon Jeong Kim Hanyang University

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