World's Best Scientists 2026 revealed!
Franz Rottensteiner

Franz Rottensteiner

D-Index & Metrics

Computer Science

D-Index
42
Citations
7466
World Ranking
8387
National Ranking
409

Franz Rottensteiner 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 Franz Rottensteiner 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Franz Rottensteiner 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 Franz Rottensteiner 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Franz Rottensteiner is affiliated with the University of Hannover in Germany. Their research primarily spans the fields of computer science and engineering, with significant contributions in subfields such as computer vision and pattern recognition, media technology, environmental engineering, ocean engineering, and aerospace engineering.

The research topics covered by Rottensteiner include remote-sensing image classification, remote sensing and LiDAR applications, advanced image and video retrieval techniques, robotics and sensor-based localization, automated road and building extraction, 3D surveying and cultural heritage, and video surveillance and tracking methods.

Frequent publication venues for their work comprise:

  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • PFG - Journal of Photogrammetry Remote Sensing and Geoinformation Science
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  • arXiv (Cornell University)

Rottensteiner has collaborated frequently with several researchers, including:

  • Christian Heipke (25 collaborations)
  • Dennis Wittich (10 collaborations)
  • Mareike Dorozynski (9 collaborations)
  • Max Mehltretter (8 collaborations)
  • Chun Yang (6 collaborations)

The following papers highlight their recent academic output:

  • "The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo" (2021), published in Zurich Open Repository and Archive (University of Zurich)
  • "Feature detection and description for image matching: from hand-crafted design to deep learning" (2020), published in Geo-spatial Information Science
  • "Deep learning for geometric and semantic tasks in photogrammetry and remote sensing" (2020), published in Geo-spatial Information Science
  • "An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes" (2021), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Geospatial Information Research: State of the Art, Case Studies and Future Perspectives" (2022), published in PFG - Journal of Photogrammetry Remote Sensing and Geoinformation Science

Best Publications

  • Contextual classification of lidar data and building object detection in urban areas

    Joachim Niemeyer;Franz Rottensteiner;Uwe Soergel

  • The ISPRS benchmark on urban object classification and 3D building reconstruction

    Franz Rottensteiner;Gunho Sohn;Jaewook Jung;Markus Gerke

  • Results of the ISPRS benchmark on urban object detection and 3D building reconstruction

    Franz Rottensteiner;Gunho Sohn;Markus Gerke;Jan Dirk Wegner

  • Using the Dempster–Shafer method for the fusion of LIDAR data and multi-spectral images for building detection

    Franz Rottensteiner;John C. Trinder;Simon Clode;Kurt Kubik

  • A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning

    M. Rutzinger;F. Rottensteiner;N. Pfeifer

  • Automatic generation of high-quality building models from lidar data

    F. Rottensteiner

  • Building detection by fusion of airborne laser scanner data and multi-spectral images : Performance evaluation and sensitivity analysis

    Franz Rottensteiner;John Trinder;Simon Clode;Kurt Kubik

  • AUTOMATIC GENERATION OF BUILDING MODELS FROM LIDAR DATA AND THE INTEGRATION OF AERIAL IMAGES

    F. Rottensteiner;Ch . Briese

  • The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo

    Michael Kölle;Dominik Laupheimer;Stefan Schmohl;Norbert Haala

  • Detection and vectorization of roads from lidar data

    Simon Clode;Franz Rottensteiner;Peter J. Kootsookos;Emanuel E. Zelniker

  • The Automatic Extraction of Roads from LIDAR data

    Simon Clode;Peter J. Kootsookos;Franz Rottensteiner

  • Contextual segment-based classification of airborne laser scanner data

    George Vosselman;Maximilian Coenen;Franz Rottensteiner

  • Automated delineation of roof planes from LIDAR data

    F. Rottensteiner;J. Trinder;S. Clode;K. K. T. Kubik

  • CONDITIONAL RANDOM FIELDS for LIDAR POINT CLOUD CLASSIFICATION in COMPLEX URBAN AREAS

    J. Niemeyer;F. Rottensteiner;U. Soergel

  • CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS

    M. Weinmann;Alena Schmidt;C. Mallet;Stefan Hinz

  • Information from imagery: ISPRS scientific vision and research agenda

    Jun Chen;Ian Dowman;Songnian Li;Zhilin Li

  • AUTOMATIC EXTRACTION OF BUILDINGS FROM LIDAR DATA AND AERIAL IMAGES

    F. Rottensteiner;J. Jansa

  • Building Detection Using LIDAR Data and Multispectral Images

    Franz Rottensteiner;John C. Trinder;Simon Clode;Kurt Kubik

  • Development and testing of a generic sensor model for pushbroom satellite imagery

    Thomas Weser;Franz Rottensteiner;Jochen Willneff;Joanne Poon

  • Conditional Random Fields for Multitemporal and Multiscale Classification of Optical Satellite Imagery

    Thorsten Hoberg;Franz Rottensteiner;Raul Queiroz Feitosa;Christian Heipke

Frequent Co-Authors

Christian Heipke
Christian Heipke University of Hannover
Jan Dirk Wegner
Jan Dirk Wegner University of Zurich
Clive S. Fraser
Clive S. Fraser University of Melbourne
Uwe Stilla
Uwe Stilla Technical University of Munich
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Jörn Ostermann
Jörn Ostermann University of Hannover
Michael Ying Yang
Michael Ying Yang University of Bath
Hugo Ledoux
Hugo Ledoux Delft University of Technology
Monika Sester
Monika Sester University of Hannover

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