World's Best Scientists 2026 revealed!
Markus Vincze

Markus Vincze

D-Index & Metrics

Computer Science

D-Index
41
Citations
8298
World Ranking
8742
National Ranking
78

Markus Vincze 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 Markus Vincze 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: 412 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Markus Vincze 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 Markus Vincze 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Markus Vincze is affiliated with TU Wien in Austria and has contributed extensively to the fields of Computer Science and Engineering. Their research primarily focuses on areas such as Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, and Human-Computer Interaction.

Within these subfields, Vincze has covered a range of topics including Robot Manipulation and Learning, Robotics and Sensor-Based Localization, Human Pose and Action Recognition, Advanced Neural Network Applications, Advanced Vision and Imaging, Teaching and Learning Programming, and Hand Gesture Recognition Systems.

Vincze has published numerous papers in diverse venues. Frequent publication venues include arXiv (Cornell University), Frontiers in Robotics and AI, IEEE Robotics and Automation Letters, e+i Elektrotechnik und Informationstechnik, and SSRN Electronic Journal.

Recent notable papers authored or co-authored by Vincze include:

  • "DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping," 2020, Frontiers in Robotics and AI
  • "Robot perception of static and dynamic objects with an autonomous floor scrubber," 2020, Intelligent Service Robotics
  • "Challenges for Monocular 6-D Object Pose Estimation in Robotics," 2024, IEEE Transactions on Robotics
  • "Knowledge-driven framework for industrial robotic systems," 2021, Journal of Intelligent Manufacturing
  • "Positive-unlabeled learning for open set domain adaptation," 2020, Pattern Recognition Letters

Frequent co-authors with whom Vincze has collaborated include:

  • Stefan Thalhammer
  • Jean-Baptiste Weibel
  • Timothy Patten
  • Peter Hönig
  • Wilfried Lepuschitz

Markus Vincze has published a book titled Computer Vision Systems through Springer Science+Business Media in 2023, which has been cited in academic circles multiple times.

Best Publications

  • Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation

    A. Aldoma;Z. Marton;F. Tombari;W. Wohlkinger

  • Ensemble of shape functions for 3D object classification

    Unknown

  • Hobbit, a care robot supporting independent living at home

    David Fischinger;Peter Einramhof;Konstantinos Papoutsakis;Walter Wohlkinger

  • CAD-model recognition and 6DOF pose estimation using 3D cues

    Aitor Aldoma;Markus Vincze;Nico Blodow;David Gossow

  • Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted $\mathcal{S}$-Metric Selection

    Wolfgang Ponweiser;Tobias Wagner;Dirk Biermann;Markus Vincze

  • A fast stereo matching algorithm suitable for embedded real-time systems

    Unknown

  • A global hypotheses verification method for 3d object recognition

    Aitor Aldoma;Federico Tombari;Luigi Di Stefano;Markus Vincze

  • OUR-CVFH – Oriented, Unique and Repeatable Clustered Viewpoint Feature Histogram for Object Recognition and 6DOF Pose Estimation

    Aitor Aldoma;Federico Tombari;Radu Bogdan Rusu;Markus Vincze

  • Segmentation of unknown objects in indoor environments

    Unknown

  • Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots

    Christiana Tsiourti;Astrid Weiss;Katarzyna Wac;Markus Vincze

  • 3DNet: Large-scale object class recognition from CAD models

    Walter Wohlkinger;Aitor Aldoma;Radu B. Rusu;Markus Vincze

  • Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation

    A. Aldoma;F. Tombari;J. Prankl;A. Richtsfeld

  • Fast Ego-motion Estimation with Multi-rate Fusion of Inertial and Vision

    Unknown

  • Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters

    Unknown

  • Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models

    Unknown

  • An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments

    Unknown

  • Efficient 3D Object Detection by Fitting Superquadrics to Range Image Data for Robot's Object Manipulation

    Unknown

  • Robust tracking of ellipses at frame rate

    Markus Vincze

  • Learning grasps for unknown objects in cluttered scenes

    David Fischinger;Markus Vincze;Yun Jiang

  • Autonomous Learning of Object Models on a Mobile Robot

    Thomas Faulhammer;Rares Ambrus;Chris Burbridge;Michael Zillich

  • EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets

    Markus Suchi;Timothy Patten;David Fischinger;Markus Vincze

  • Robust Vision For Vision-Based Control Of Motion

    Markus Vincze;Gregory D. Hager

  • Learning grasps with topographic features

    David Fischinger;Astrid Weiss;Markus Vincze

  • Empty the basket - a shape based learning approach for grasping piles of unknown objects

    David Fischinger;Markus Vincze

  • The STRANDS Project: Long-Term Autonomy in Everyday Environments

    Nick Hawes;Chris Burbridge;Ferdian Jovan;Lars Kunze

  • A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter

    Aitor Aldoma;Federico Tombari;Luigi Di Stefano;Markus Vincze

  • Vision for Robotics

    Danica Kragic;Markus Vincze

  • Results of a Real World Trial with a Mobile Social Service Robot for Older Adults

    Jurgen Pripfl;Tobias Kortner;Daliah Batko-Klein;Denise Hebesberger

  • Vanishing Point Detection in Complex Man-made Worlds

    H. Wildenauer;M. Vincze

Frequent Co-Authors

Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Antonis A. Argyros
Antonis A. Argyros University of Crete
Justus Piater
Justus Piater University of Innsbruck
James L. Crowley
James L. Crowley Grenoble Alpes University
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Antonios Gasteratos
Antonios Gasteratos Democritus University of Thrace
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Peter Auer
Peter Auer University of Leoben
Axel Pinz
Axel Pinz Graz University of Technology

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