World's Best Scientists 2026 revealed!
Hans-Gerd Maas

Hans-Gerd Maas

D-Index & Metrics

Computer Science

D-Index
36
Citations
7546
World Ranking
11063
National Ranking
554

Hans-Gerd Maas 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 Hans-Gerd Maas 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Hans-Gerd Maas 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 Hans-Gerd Maas 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Hans-Gerd Maas is affiliated with TU Dresden in Germany. Their research spans multiple fields with a focus on engineering, environmental science, and earth and planetary sciences. The subfields they engage in include geology, civil and structural engineering, environmental engineering, computer vision and pattern recognition, and aerospace engineering.

The scientist's research covers a variety of specialized topics such as 3D surveying and cultural heritage, remote sensing and LiDAR applications, optical measurement and interference techniques, infrastructure maintenance and monitoring, robotics and sensor-based localization, advanced optical sensing technologies, and forest ecology and management.

Maas has contributed numerous publications to prominent venues. Frequent publication outlets include:

  • The "international archives of the photogrammetry, remote sensing and spatial information sciences
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • PFG - Journal of Photogrammetry Remote Sensing and Geoinformation Science
  • Sensors
  • ISPRS Journal of Photogrammetry and Remote Sensing

Notable papers by Hans-Gerd Maas include:

  • Geospatial Information Research: State of the Art, Case Studies and Future Perspectives, 2022, PFG - Journal of Photogrammetry Remote Sensing and Geoinformation Science
  • Automatic extraction and measurement of individual trees from mobile laser scanning point clouds of forests, 2021, Annals of Botany
  • Assessing the Influence of Temperature Changes on the Geometric Stability of Smartphone- and Raspberry Pi Cameras, 2020, Sensors
  • Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes, 2020, Remote Sensing
  • River water segmentation in surveillance camera images: A comparative study of offline and online augmentation using 32 CNNs, 2023, International Journal of Applied Earth Observation and Geoinformation

The scientist collaborates frequently with a number of co-authors. These include Frank Liebold with 19 collaborations, David Mader with 9, K. Richter with 8, Hannes Sardemann with 8, and Franz Wagner with 7.

Best Publications

  • Airborne and Terrestrial Laser Scanning

    George Vosselman;Hans-Gerd Maas

  • Particle tracking velocimetry in three-dimensional flows

    H. G. Maas;A. Gruen;D. Papantoniou

  • Two algorithms for extracting building models from raw laser altimetry data

    Hans-Gerd Maas;George Vosselman

  • Automatic forest inventory parameter determination from terrestrial laser scanner data

    H. G. Maas;A. Bienert;S. Scheller;E. Keane

  • Sensor modelling and camera calibration for close-range photogrammetry

    Thomas Luhmann;Clive Fraser;Hans-Gerd Maas

  • Photogrammetric techniques in civil engineering material testing and structure monitoring

    Hans-Gerd Maas;Uwe Hampel

  • Validation of geometric models for fisheye lenses

    D. Schneider;E. Schwalbe;H.-G. Maas

  • Methods for measuring height and planimetry discrepancies in airborne laserscanner data

    Hans-Gerd Maas

  • THE POTENTIAL OF HEIGHT TEXTURE MEASURES FOR THE SEGMENTATION OF AIRBORNE LASERSCANNER DATA

    Hans-Gerd Maas

  • Least-Squares Matching with Airborne Laserscanning Data in a TIN Structure

    Hans-Gerd Maas

  • THE USE OF ANISOTROPIC HEIGHT TEXTURE MEASURES FOR THE SEGMENTATION OF AIRBORNE LASER SCANNER DATA

    S.J. Oude Elberink;Hans Gerd Maas

  • 3D BUILDING MODEL GENERATION FROM AIRBORNE LASER SCANNER DATA USING 2D GIS DATA AND ORTHOGONAL POINT CLOUD PROJECTIONS

    Ellen Schwalbe;Hans-Gerd Maas;Frank Seidel

  • Comparison and Combination of Mobile and Terrestrial Laser Scanning for Natural Forest Inventories

    Anne Bienert;Louis Georgi;Matthias Kunz;Hans-Gerd Maas

  • Mobile LiDAR mapping for 3D point cloud collecation in urban areas : a performance test

    Unknown

  • Quantitative Measurement of Soil Erosion from Tls and Uav Data

    A. Eltner;C. Mulsow;H.-G. Maas

  • An integrated spatial and spectral approach to the classification of Mediterranean land cover types: the SSC method

    Steven M de Jong;Tom Hornstra;Hans-Gerd Maas

  • On the Accuracy Potential in Underwater/Multimedia Photogrammetry.

    Hans-Gerd Maas

  • Analysis and correction of ocean wave pattern induced systematic coordinate errors in airborne LiDAR bathymetry

    Patrick Westfeld;Hans-Gerd Maas;Katja Richter;Robert Weiß

  • New developments in Multimedia Photogrammetry

    Hans-Gerd Maas

  • Large-Eddy Simulation of Inhomogeneous Canopy Flows Using High Resolution Terrestrial Laser Scanning Data

    Fabian Schlegel;Jörg Stiller;Anne Bienert;Hans-Gerd Maas

  • A geometric model for linear‐array‐based terrestrial panoramic cameras

    Danilo Schneider;Hans-Gerd Maas

  • ANALYSIS OF THE INFORMATION CONTENT OF TERRESTRIAL LASERSCANNER POINT CLOUDS FOR THE AUTOMATIC DETERMINATION OF FOREST INVENTORY PARAMETERS

    Anne Bienert;Hans-Gerd Maas;Steffen Scheller

Frequent Co-Authors

Gino Casassa
Gino Casassa University of Magallanes
Armin Gruen
Armin Gruen ETH Zurich
Uwe Hampel
Uwe Hampel Helmholtz-Zentrum Dresden-Rossendorf
Derek D. Lichti
Derek D. Lichti University of Calgary
George Vosselman
George Vosselman University of Twente

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