H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,892 108 World Ranking 6825 National Ranking 3270

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Computer graphics, Rendering, Procedural modeling, Artificial intelligence and Computer vision are his primary areas of study. His study on Computer graphics is often connected to Specular reflection as part of broader study in Computer graphics. Particularly relevant to Image-based modeling and rendering is his body of work in Rendering.

His Procedural modeling research includes themes of Street network, City block and Urban planning. Artificial intelligence connects with themes related to Catadioptric system in his study. The study incorporates disciplines such as Calibration and Orthographic projection in addition to Computer vision.

His most cited work include:

  • A Survey of Urban Reconstruction (279 citations)
  • MMR: an interactive massive model rendering system using geometric and image-based acceleration (152 citations)
  • WUDAPT: An Urban Weather, Climate, and Environmental Modeling Infrastructure for the Anthropocene (107 citations)

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

Daniel G. Aliaga mainly investigates Artificial intelligence, Computer vision, Computer graphics, Computer graphics and Rendering. His work in the fields of Motion estimation, Structured light and Camera auto-calibration overlaps with other areas such as Geometric modeling. Daniel G. Aliaga has researched Computer graphics in several fields, including Object, Virtual reality and Image texture.

His Computer graphics research incorporates themes from Visualization, Robustness, Urban planning and Data science. His research in Urban planning intersects with topics in Simulation, Procedural modeling and Human–computer interaction. His Rendering research integrates issues from Image processing and Frame rate.

He most often published in these fields:

  • Artificial intelligence (50.34%)
  • Computer vision (46.98%)
  • Computer graphics (36.24%)

What were the highlights of his more recent work (between 2016-2020)?

  • Procedural modeling (15.44%)
  • Artificial intelligence (50.34%)
  • Computer vision (46.98%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Procedural modeling, Artificial intelligence, Computer vision, Urban planning and Urban climate. Daniel G. Aliaga has researched Procedural modeling in several fields, including Resource, Service and Data science. His study in Artificial intelligence focuses on Image warping and Visualization.

His work on Motion as part of general Computer vision research is frequently linked to Key, thereby connecting diverse disciplines of science. His research investigates the connection between Urban planning and topics such as Computer graphics that intersect with issues in Solid modeling, Human–computer interaction, Machine learning and Engineering ethics. His Satellite imagery research is multidisciplinary, relying on both Projective texture mapping, Regularization, Stereo processing and Rendering.

Between 2016 and 2020, his most popular works were:

  • WUDAPT: An Urban Weather, Climate, and Environmental Modeling Infrastructure for the Anthropocene (107 citations)
  • Procedural Modeling of a Building from a Single Image (21 citations)
  • Influence of urban pattern on inundation flow in floodplains of lowland rivers (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary scientific interests are in Procedural modeling, Air quality index, Urban planning, Walkability and Transport engineering. He regularly ties together related areas like Simulation in his Procedural modeling studies. His Air quality index research spans across into subjects like Urban canopy, International community, Environmental modeling, Environmental resource management and Land cover.

The concepts of his Urban planning study are interwoven with issues in Pipeline, Silhouette, Engineering drawing and Facade. His Walkability investigation overlaps with other disciplines such as Population simulation and Animation.

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

A Survey of Urban Reconstruction

P. Musialski;P. Musialski;P. Wonka;P. Wonka;D. G. Aliaga;M. Wimmer.
Computer Graphics Forum (2013)

435 Citations

MMR: an interactive massive model rendering system using geometric and image-based acceleration

Daniel Aliaga;Jon Cohen;Andrew Wilson;Eric Baker.
interactive 3d graphics and games (1999)

264 Citations

Modelling the appearance and behaviour of urban spaces

Carlos A. Vanegas;Daniel G. Aliaga;Peter Wonka;Pascal Müller.
Computer Graphics Forum (2010)

185 Citations

Plenoptic stitching: a scalable method for reconstructing 3D interactive walk throughs

Daniel G. Aliaga;Ingrid Carlbom.
international conference on computer graphics and interactive techniques (2001)

160 Citations

Building reconstruction using manhattan-world grammars

Carlos A. Vanegas;Daniel G. Aliaga;Bedrich Benes.
computer vision and pattern recognition (2010)

159 Citations

Urban sensing: Using smartphones for transportation mode classification

Dongyoun Shin;Daniel G. Aliaga;Bige Tunçer;Stefan Müller Arisona.
Computers, Environment and Urban Systems (2015)

157 Citations

Style Grammars for Interactive Visualization of Architecture

D.G. Aliaga;P.A. Rosen;D.R. Bekins.
IEEE Transactions on Visualization and Computer Graphics (2007)

148 Citations

An object-oriented framework for the integration of interactive animation techniques

Robert C. Zeleznik;D. Brookshire Conner;Matthias M. Wloka;Daniel G. Aliaga.
international conference on computer graphics and interactive techniques (1991)

144 Citations

Inverse Procedural Modeling by Automatic Generation of L‐systems

O. Št'ava;B. Beneš;R. Měch;D. G. Aliaga.
Computer Graphics Forum (2010)

130 Citations

WUDAPT: An Urban Weather, Climate, and Environmental Modeling Infrastructure for the Anthropocene

J. Ching;G. Mills;Benjamin Bechtel;L. See.
Bulletin of the American Meteorological Society (2018)

129 Citations

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