World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12219
World Ranking
4310
National Ranking
190

Uwe Stilla 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 Uwe Stilla 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: 473 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Uwe Stilla 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 Uwe Stilla 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Uwe Stilla is affiliated with the Technical University of Munich in Germany. The research scope primarily encompasses Engineering, Environmental Science, and Earth and Planetary Sciences, with focus areas in Environmental Engineering, Geology, Computer Vision and Pattern Recognition, Aerospace Engineering, and Building and Construction.

The research topics covered include Remote Sensing and LiDAR Applications, 3D Surveying and Cultural Heritage, Robotics and Sensor-Based Localization, Advanced Optical Sensing Technologies, 3D Shape Modeling and Analysis, 3D Modeling in Geospatial Applications, and Remote Sensing in Agriculture.

Frequent publication venues where Uwe Stilla has contributed include Fraunhofer-Publica (Fraunhofer-Gesellschaft), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, arXiv (Cornell University), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, and ISPRS Journal of Photogrammetry and Remote Sensing.

Recent papers authored by Uwe Stilla or co-authored with others include:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark (2020), ISPRS Journal of Photogrammetry and Remote Sensing
  • Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry (2021), Automation in Construction
  • Improving progress monitoring by fusing point clouds, semantic data and computer vision (2020), Automation in Construction
  • Change detection of urban objects using 3D point clouds: A review (2023), ISPRS Journal of Photogrammetry and Remote Sensing
  • Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques (2021), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Frequent coauthors collaborating with Uwe Stilla include Ludwig Hoegner, Yusheng Xu, Olaf Wysocki, Rong Huang, and Marcus Hebel. The collaboration ranges with counts of joint publications notably from 11 to 31 publications.

Best Publications

  • Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks

    Dimitrios Marmanis;Mihai Datcu;Thomas Esch;Uwe Stilla

  • Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

    Dimitrios Marmanis;Dimitrios Marmanis;Konrad Schindler;Jan Dirk Wegner;Silvano Galliani

  • 3D segmentation of single trees exploiting full waveform LIDAR data

    J. Reitberger;Cl. Schnörr;P. Krzystek;U. Stilla

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

    Zhen Dong;Fuxun Liang;Bisheng Yang;Yusheng Xu

  • Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees

    J. Reitberger;P. Krzystek;U. Stilla

  • SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

    Dimitrios Marmanis;Dimitrios Marmanis;Jan D. Wegner;Silvano Galliani;Konrad Schindler

  • Range determination with waveform recording laser systems using a Wiener Filter

    Boris Jutzi;Uwe Stilla

  • Vehicle Detection in Very High Resolution Satellite Images of City Areas

    Jens Leitloff;Stefan Hinz;Uwe Stilla

  • Airborne Vehicle Detection in Dense Urban Areas Using HoG Features and Disparity Maps

    Sebastian Tuermer;Franz Kurz;Peter Reinartz;Uwe Stilla

  • Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry

    Yusheng Xu;Xiaohua Tong;Uwe Stilla

  • SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition

    Yan Xia;Yusheng Xu;Shuang Li;Rui Wang

  • Potential and limits of InSAR data for building reconstruction in built-up areas

    U. Stilla;U. Soergel;U. Thoennessen

  • Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

    T. Balz;U. Stilla

  • Change detection of urban objects using 3D point clouds: A review

    Unknown

  • Image Registration With Fourier-Based Image Correlation: A Comprehensive Review of Developments and Applications

    Xiaohua Tong;Kuifeng Luan;Uwe Stilla;Zhen Ye

  • Improving progress monitoring by fusing point clouds, semantic data and computer vision

    Alex Braun;Sebastian Tuttas;André Borrmann;Uwe Stilla

  • Machine Learning Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification

    Tessio Novack;Thomas Esch;Hermann Kux;Uwe Stilla

  • A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds

    Alexander Braun;Sebastian Tuttas;Andre Borrmann;Uwe Stilla

  • Pairwise coarse registration of point clouds in urban scenes using voxel-based 4-planes congruent sets

    Yusheng Xu;Richard Boerner;Wei Yao;Ludwig Hoegner

  • Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques

    Yusheng Xu;Uwe Stilla

  • Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation

    Przemyslaw Polewski;Przemyslaw Polewski;Wei Yao;Marco Heurich;Peter Krzystek

  • AIRBORNE MONITORING OF VEHICLE ACTIVITY IN URBAN AREAS

    U. Stilla;E. Michaelsen;U. Soergel;S. Hinz

Frequent Co-Authors

Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Peter Reinartz
Peter Reinartz German Aerospace Center
Xiaohua Tong
Xiaohua Tong Tongji University
Marco Heurich
Marco Heurich University of Freiburg
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Mihai Datcu
Mihai Datcu German Aerospace Center
Christian Heipke
Christian Heipke University of Hannover
Nils Pohl
Nils Pohl Ruhr University Bochum
Daniele Riccio
Daniele Riccio University of Naples Federico II

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