World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7712
World Ranking
10572
National Ranking
530

Stefan Hinz 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 Stefan Hinz 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Stefan Hinz 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 Stefan Hinz 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Stefan Hinz is affiliated with the Karlsruhe Institute of Technology in Germany. Their research primarily spans the fields of Engineering and Environmental Science, with a focus on several specialized subfields including Aerospace Engineering, Environmental Engineering, Computer Vision and Pattern Recognition, Media Technology, and Ocean Engineering.

Their work covers various topics within remote sensing and related technologies. Key research themes include Synthetic Aperture Radar (SAR) Applications and Techniques, Remote Sensing and LiDAR Applications, Remote-Sensing Image Classification, Robotics and Sensor-Based Localization, Soil Moisture and Remote Sensing, 3D Surveying and Cultural Heritage, as well as Landslides and related hazards.

Recent papers authored or co-authored by Stefan Hinz address multiple aspects of remote sensing and related areas. These include:

  • Review on Convolutional Neural Networks (CNN) in vegetation remote sensing, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Airborne monitoring of vehicle activity in urban areas, 2022, Fraunhofer-Publica (Fraunhofer-Gesellschaft)
  • Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies, 2021, Remote Sensing

Stefan Hinz frequently collaborates with other researchers. Some of their frequent co-authors include:

  • Martin Weinmann
  • Katrin Auspurg
  • Herbert Kalthoff
  • Karin Knorr Cetina
  • Gunnar Göttingen

The scientist's publications appear regularly in several venues. The most frequent publication outlets are:

  • Zeitschrift für Soziologie
  • Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Best Publications

  • Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

    Teja Kattenborn;Jens Leitloff;Felix Schiefer;Stefan Hinz

  • Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

    Martin Weinmann;Boris Jutzi;Stefan Hinz;Clément Mallet

  • FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

    Unknown

  • Automatic extraction of urban road networks from multi-view aerial imagery

    Stefan Hinz;Albert Baumgartner

  • Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images

    S. Auer;S. Hinz;R. Bamler

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

    Jens Leitloff;Stefan Hinz;Uwe Stilla

  • Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas

    M. Weinmann;S. Urban;S. Hinz;B. Jutzi

  • A Test of Automatic Road Extraction Approaches

    Helmut Mayer;Stefan Hinz;Uwe Bacher;Emmanuel Baltsavias

  • Improved wide-angle, fisheye and omnidirectional camera calibration

    Steffen Urban;Jens Leitloff;Stefan Hinz

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

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

  • Fast and automatic image-based registration of TLS data

    Ma. Weinmann;Mi. Weinmann;S. Hinz;B. Jutzi

  • The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation

    Andreas Schmitt;Anna Wendleder;Stefan Hinz

  • Automatic car detection in high resolution urban scenes based on an adaptive 3D-model

    S. Hinz;C. Schlosser;J. Reitberger

  • Fast and subpixel precise blob detection and attribution

    S. Hinz

  • Performance Analysis of the TerraSAR-X Traffic Monitoring Concept

    Franz Josef Meyer;Stefan Hinz;Andreas Laika;Diana Weihing

  • Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity.

    Sina Keller;Philipp M Maier;Felix M Riese;Stefan Norra

  • Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

    Felix M. Riese;Sina Keller;Stefan Hinz

  • AIRBORNE MONITORING OF VEHICLE ACTIVITY IN URBAN AREAS

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

  • Classification in High-Dimensional Feature Spaces—Assessment Using SVM, IVM and RVM With Focus on Simulated EnMAP Data

    A. C. Braun;U. Weidner;S. Hinz

  • Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis

    Wei Yao;Stefan Hinz;Uwe Stilla

  • Car detection in aerial thermal images by local and global evidence accumulation

    Stefan Hinz;Uwe Stilla

Frequent Co-Authors

Uwe Stilla
Uwe Stilla Technical University of Munich
Richard Bamler
Richard Bamler German Aerospace Center
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Michael Eineder
Michael Eineder German Aerospace Center
Xian Sun
Xian Sun University of Chinese Academy of Sciences
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Kun Fu
Kun Fu University of Chinese Academy of Sciences
Thomas Schneider
Thomas Schneider National Institutes of Health
Ernst Rank
Ernst Rank Technical University of Munich
Harald Kunstmann
Harald Kunstmann Karlsruhe Institute of Technology

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