World's Best Scientists 2026 revealed!

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Computer Science

D-Index
34
Citations
5167
World Ranking
12144
National Ranking
162

Overview

Filip Biljecki is affiliated with the National University of Singapore in Singapore and has a research focus primarily in Engineering and Environmental Science. Their work spans several subfields, including Building and Construction, Global and Planetary Change, Environmental Engineering, Transportation, and Geography, Planning and Development.

Their research topics cover a wide array of areas such as 3D Modeling in Geospatial Applications, Land Use and Ecosystem Services, Geographic Information Systems Studies, Impact of Light on Environment and Health, Human Mobility and Location-Based Analysis, Urban Green Space and Health, and Geological Modeling and Analysis.

Among recent scholarly contributions, the following papers are notable:

  • Street view imagery in urban analytics and GIS: A review, 2021, Landscape and Urban Planning
  • Unsupervised machine learning in urban studies: A systematic review of applications, 2022, Cities
  • Challenges of urban digital twins: A systematic review and a Delphi expert survey, 2023, Automation in Construction
  • Classification of urban morphology with deep learning: Application on urban vitality, 2021, Computers Environment and Urban Systems
  • A review of spatially-explicit GeoAI applications in Urban Geography, 2022, International Journal of Applied Earth Observation and Geoinformation

Their collaborations include extensive coauthorship with several researchers, notably Jantien Stoter, Ken Arroyo Ohori, Francesca Noardo, Lars Harrie, and Claire Ellul, each with multiple joint publications.

Filip Biljecki frequently publishes in a variety of scientific venues, with notable contributions in Zenodo (CERN European Organization for Nuclear Research), Cities, arXiv (Cornell University), Computers Environment and Urban Systems, and the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Best Publications

  • Applications of 3D City Models: State of the Art Review

    Filip Biljecki;Jantien E. Stoter;Hugo Ledoux;Sisi Zlatanova

  • Street view imagery in urban analytics and GIS: A review

    Filip Biljecki;Koichi Ito

  • An improved LOD specification for 3D building models

    Filip Biljecki;Hugo Ledoux;Jantien E. Stoter

  • Formalisation of the level of detail in 3D city modelling

    Filip Biljecki;Hugo Ledoux;Jantien E. Stoter;Junqiao Zhao;Junqiao Zhao

  • Transportation mode-based segmentation and classification of movement trajectories

    Filip Biljecki;Hugo Ledoux;Peter van Oosterom

  • Generating 3D city models without elevation data

    Filip Biljecki;Hugo Ledoux;Jantien E. Stoter

  • Assessing bikeability with street view imagery and computer vision

    Koichi Ito;Filip Biljecki

  • Classification of urban morphology with deep learning: Application on urban vitality

    Wangyang Chen;Abraham Noah Wu;Filip Biljecki

  • CityGML Application Domain Extension (ADE): overview of developments

    Filip Biljecki;Kavisha Kumar;Claus Nagel

  • 3D city models for urban farming site identification in buildings

    Ankit Palliwal;Shuang Song;Hugh Tiang Wah Tan;Filip Biljecki

  • The variants of an LOD of a 3D building model and their influence on spatial analyses

    Filip Biljecki;Hugo Ledoux;Jantien Stoter;George Vosselman

  • Propagation of positional error in 3D GIS: estimation of the solar irradiation of building roofs

    Filip Biljecki;Gerard B. M. Heuvelink;Hugo Ledoux;Jantien Stoter

  • Extending CityGML for IFC-sourced 3D city models

    Filip Biljecki;Joie Lim;James Crawford;Diana Moraru

  • Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry

    Roeland Boeters;Ken Arroyo Ohori;Filip Biljecki;Sisi Zlatanova

  • Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainability

    Abraham Noah Wu;Filip Biljecki

  • Achieving Complete and Near-Lossless Conversion from IFC to CityGML

    Rudi Stouffs;Helga Tauscher;Filip Biljecki

  • GENERATION OF MULTI-LOD 3D CITY MODELS IN CITYGML WITH THE PROCEDURAL MODELLING ENGINE RANDOM3DCITY

    Filip Biljecki;Hugo Ledoux;Jantien Stoter

  • Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

    Francesca Noardo;Lars Harrie;Ken Arroyo Ohori;Filip Biljecki

  • Registration of multi-level property rights in 3D in the Netherlands: Two cases and next steps in further implementation

    Jantien E. Stoter;Hendrik Ploeger;Ruben Roes;Els van der Riet

  • Proposal for a new LOD and multi-representation concept for CityGML

    Marc-O Löwner;Gerhard Gröger;Joachim Benner;Filip Biljecki

  • Towards an integration of GIS and BIM data: What are the geometric and topological issues?

    G.A.K. Arroyo Ohori;F. Biljecki;A.A. Diakite;Thomas Krijnen

  • The most common geometric and semantic errors in CityGML datasets

    Filip Biljecki;Hugo Ledoux;Xin Du;Jantien Stoter

Frequent Co-Authors

Jantien Stoter
Jantien Stoter Delft University of Technology
Hugo Ledoux
Hugo Ledoux Delft University of Technology
Ramon F. Hanssen
Ramon F. Hanssen Delft University of Technology
Sisi Zlatanova
Sisi Zlatanova University of New South Wales
Felix Creutzig
Felix Creutzig Technical University of Berlin
George Vosselman
George Vosselman University of Twente
Peter van Oosterom
Peter van Oosterom Delft University of Technology
Mingsheng Liao
Mingsheng Liao Wuhan University

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