World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
60
Citations
17943
World Ranking
2137
National Ranking
36

Daniel Huber 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 Daniel Huber 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Daniel Huber 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 Daniel Huber 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: 60 D-Index — 78th percentile

78% 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

  • 2019 - Fellow of Alfred P. Sloan Foundation

Overview

Daniel Huber is affiliated with the University of Geneva in Switzerland and specializes in Neuroscience, with a research focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, and Biophysics.

The scientist's main research topics include:

  • Neural dynamics and brain function
  • Neurobiology and Insect Physiology Research
  • Visual perception and processing mechanisms
  • Tactile and Sensory Interactions
  • Motor Control and Adaptation
  • Cell Image Analysis Techniques
  • Photoreceptor and optogenetics research

Key publications by Daniel Huber include:

  • EthoLoop: automated closed-loop neuroethology in naturalistic environments, 2020, Nature Methods
  • Wireless closed-loop optogenetics across the entire dorsoventral spinal cord in mice, 2021, Nature Biotechnology
  • Temporal controls over inter-areal cortical projection neuron fate diversity, 2021, Nature
  • Orientation Preference Maps in Microcebus murinus Reveal Size-Invariant Design Principles in Primate Visual Cortex, 2020, Current Biology
  • A common computational principle for vibrotactile pitch perception in mouse and human, 2021, Nature Communications

Frequent co-authors with whom Daniel Huber has published multiple papers are:

  • Kuo-Sheng Lee (8 publications)
  • Ali Nourizonoz (6 publications)
  • Chun Lum Andy Ho (6 publications)
  • Dominica de Thomas Wagner (6 publications)
  • Mario Prsa (5 publications)

The most common venues for publishing this scientist's work include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 10 publications
  • Nature Methods with 2 publications
  • Nature Biotechnology with 1 publication
  • Nature with 1 publication
  • Current Biology with 1 publication

Daniel Huber was recognized as a Fellow of the Alfred P. Sloan Foundation in 2019.

Best Publications

  • Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators

    Lin Tian;S Andrew Hires;Tianyi Mao;Daniel Huber

  • Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

    Pingbo Tang;Daniel Huber;Burcu Akinci;Robert Lipman

  • Recognizing Objects in Range Data Using Regional Point Descriptors

    Andrea Frome;Daniel Huber;Ravi Kolluri;Thomas Bülow

  • Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data

    Xuehan Xiong;Antonio Adan;Burcu Akinci;Daniel Huber

  • Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice

    Daniel Huber;Daniel Huber;Leopoldo Petreanu;Leopoldo Petreanu;Nima Ghitani;Sachin P. Ranade

  • Nonlinear dendritic integration of sensory and motor input during an active sensing task

    Ning Long Xu;Mark T. Harnett;Stephen R. Williams;Daniel Huber;Daniel Huber

  • Long-range neuronal circuits underlying the interaction between sensory and motor cortex.

    Tianyi Mao;Deniz Kusefoglu;Bryan M. Hooks;Daniel Huber

  • Multiple dynamic representations in the motor cortex during sensorimotor learning

    Daniel Huber;D.A. Gutnisky;S. Peron;D. H. O’Connor

  • Natural terrain classification using three-dimensional ladar data for ground robot mobility

    Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert

  • Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice

    Daniel H. O'Connor;Simon P. Peron;Daniel Huber;Karel Svoboda

  • Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.

    Takaki Komiyama;Takashi R. Sato;Daniel H. Oconnor;Ying Xin Zhang;Ying Xin Zhang

  • Fully automatic registration of multiple 3D data sets

    Daniel F. Huber;Martial Hebert

  • A formalism for utilization of sensor systems and integrated project models for active construction quality control

    Burcu Akinci;Frank Boukamp;Chris Gordon;Daniel Huber

  • Activity in motor–sensory projections reveals distributed coding in somatosensation

    Leopoldo Petreanu;Diego A. Gutnisky;Daniel Huber;Daniel Huber;Ning Long Xu

  • Natural terrain classification using 3-d ladar data

    N. Vandapel;D.F. Huber;A. Kapuria;M. Hebert

  • Neural coding during active somatosensation revealed using illusory touch

    Daniel H. O'Connor;S. Andrew Hires;Zengcai V. Guo;Nuo Li

  • Laminar Analysis of Excitatory Local Circuits in Vibrissal Motor and Sensory Cortical Areas

    B. M. Hooks;B. M. Hooks;S. Andrew Hires;Ying Xin Zhang;Ying Xin Zhang;Daniel Huber

  • Real-time topometric localization

    Hernan Badino;Daniel Huber;Takeo Kanade

  • Parts-based 3D object classification

    D. Huber;A. Kapuria;R. Donamukkala;M. Hebert

  • 3D Reconstruction of Interior Wall Surfaces under Occlusion and Clutter

    Antonio Adan;Daniel Huber

Frequent Co-Authors

Burcu Akinci
Burcu Akinci Carnegie Mellon University
Karel Svoboda
Karel Svoboda Allen Institute
Martial Hebert
Martial Hebert Carnegie Mellon University
Daniel T. O'Connor
Daniel T. O'Connor University of California, San Diego
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Lev S. Tsimring
Lev S. Tsimring University of California, San Diego
David W. McComb
David W. McComb The Ohio State University
Owen Carmichael
Owen Carmichael Pennington Biomedical Research Center
Alonzo Kelly
Alonzo Kelly Carnegie Mellon University
Hamish L. Fraser
Hamish L. Fraser The Ohio State University

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