World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5167
World Ranking
12142
National Ranking
162

Filip Biljecki 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 Filip Biljecki 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: 75 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Filip Biljecki 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 Filip Biljecki 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

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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