D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 54 Citations 14,746 127 World Ranking 1564 National Ranking 31

Research.com Recognitions

Awards & Achievements

2019 - Fellow of Alfred P. Sloan Foundation

Overview

What are the main themes of his work throughout his whole career to date

Daniel Huber combines Optoelectronics and Light-emitting diode in his studies. His multidisciplinary approach integrates Light-emitting diode and Optoelectronics in his work. His research combines Premovement neuronal activity and Neuroscience. Quantum mechanics and Computational physics are two areas of study in which Daniel Huber engages in interdisciplinary research. While working on this project, Daniel Huber studies both Computational physics and Quantum mechanics. He undertakes multidisciplinary studies into Dielectric spectroscopy and Dielectric in his work. He connects Dielectric with Dielectric spectroscopy in his research. He performs multidisciplinary study in the fields of Physical chemistry and Spectroscopy via his papers. Daniel Huber incorporates Spectroscopy and Physical chemistry in his studies.

Daniel Huber most often published in these fields:

  • Optoelectronics (50.00%)
  • Neuroscience (50.00%)
  • Quantum mechanics (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Lin Tian;S Andrew Hires;Tianyi Mao;Daniel Huber.
Nature Methods (2009)

2058 Citations

Recognizing Objects in Range Data Using Regional Point Descriptors

Andrea Frome;Daniel Huber;Ravi Kolluri;Thomas Bülow.
european conference on computer vision (2004)

1000 Citations

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.
Automation in Construction (2010)

995 Citations

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

Xuehan Xiong;Antonio Adan;Burcu Akinci;Daniel Huber.
Automation in Construction (2013)

647 Citations

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.
Nature (2008)

598 Citations

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

Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert.
Journal of Field Robotics (2006)

515 Citations

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

Daniel H. O'Connor;Simon P. Peron;Daniel Huber;Karel Svoboda.
Neuron (2010)

485 Citations

Multiple dynamic representations in the motor cortex during sensorimotor learning

Daniel Huber;D.A. Gutnisky;S. Peron;D. H. O’Connor.
Nature (2012)

469 Citations

Fully automatic registration of multiple 3D data sets

Daniel F. Huber;Martial Hebert.
Image and Vision Computing (2003)

468 Citations

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.
Nature (2012)

456 Citations

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