World's Best Scientists 2026 revealed!
Florentin Wörgötter

Florentin Wörgötter

D-Index & Metrics

Computer Science

D-Index
52
Citations
13692
World Ranking
5014
National Ranking
224

Florentin Wörgötter 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 Florentin Wörgötter 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: 421 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Florentin Wörgötter 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 Florentin Wörgötter 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Florentin Wörgötter is affiliated with the University of Göttingen in Germany. Their research primarily focuses on computer science, with significant contributions to several subfields including computer vision and pattern recognition, artificial intelligence, cognitive neuroscience, pediatrics, perinatology, child health, and control and systems engineering.

Their work spans multiple main topics such as human pose and action recognition, neural dynamics and brain function, multimodal machine learning applications, robot manipulation and learning, neural networks and applications, infant development and preterm care, and action observation and synchronization.

Recent papers include:

  • The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review, 2021, Research in Developmental Disabilities
  • Novel AI driven approach to classify infant motor functions, 2021, Scientific Reports
  • Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells, 2020, Robotics and Computer-Integrated Manufacturing
  • Modeling the Shape of Synaptic Spines by Their Actin Dynamics, 2020, Frontiers in Synaptic Neuroscience
  • Infant movement classification through pressure distribution analysis, 2023, Communications Medicine

Frequent co-authors working alongside Florentin Wörgötter include:

  • Minija Tamošiūnaitė
  • Tomas Kulvičius
  • Dajie Zhang
  • Sven Bölte
  • Luise Poustka

The scientist has published regularly in venues such as:

  • arXiv (Cornell University)
  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Communications Medicine

Best Publications

  • Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds

    Jeremie Papon;Alexey Abramov;Markus Schoeler;Florentin Worgotter

  • Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms

    Florentin Wörgötter;Bernd Porr

  • A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity

    Florentin Wörgötter;Christof Koch

  • Self-organized adaptation of a simple neural circuit enables complex robot behaviour

    Silke Steingrube;Silke Steingrube;Marc Timme;Florentin Wörgötter;Poramate Manoonpong

  • Learning the semantics of object-action relations by observation

    Eren Erdal Aksoy;Alexey Abramov;Johannes Dörr;Kejun Ning

  • Self-Organized Criticality in Developing Neuronal Networks

    Christian Tetzlaff;Samora Okujeni;Ulrich Egert;Florentin Wörgötter

  • State-dependent receptive-field restructuring in the visual cortex

    Florentin Wörgötter;Katrin Suder;Yongqiang Zhao;Nicolas Kerscher

  • Object-action complexes: Grounded abstractions of sensory-motor processes

    Norbert Krüger;Christopher W. Geib;Justus H. Piater;Ronald P. A. Petrick

  • Object Partitioning Using Local Convexity

    Simon Christoph Stein;Markus Schoeler;Jeremie Papon;Florentin Wörgötter

  • Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning

    Tao Geng;Bernd Porr;Florentin Wörgötter

  • Joining Movement Sequences: Modified Dynamic Movement Primitives for Robotics Applications Exemplified on Handwriting

    T. Kulvicius;KeJun Ning;M. Tamosiunaite;F. Worgötter

  • Neural control and adaptive neural forward models for insect-like, energy-efficient, and adaptable locomotion of walking machines.

    Poramate Manoonpong;Ulrich Parlitz;Florentin Wörgötter

  • Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning

    Poramate Manoonpong;Tao Geng;Tomas Kulvicius;Bernd Porr

  • Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity.

    Christian Tetzlaff;Christoph Kolodziejski;Marc Timme;Florentin Wörgötter

  • The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review

    Nelson Silva;Dajie Zhang;Tomas Kulvicius;Alexander Gail

  • Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking

    Guoliang Liu;Florentin Worgotter;Irene Markelic

  • Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives

    Minija Tamosiunaite;Bojan Nemec;Aleš Ude;Florentin WöRgöTter

  • Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review

    Shinya Aoi;Poramate Manoonpong;Yuichi Ambe;Fumitoshi Matsuno

  • Isotropic sequence order learning

    Bernd Porr;Florentin Wörgötter

  • Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net

    Maximilian Freudenberg;Nils Nölke;Alejandro Agostini;Kira Urban

  • BIRTH OF THE OBJECT: DETECTION OF OBJECTNESS AND EXTRACTION OF OBJECT SHAPE THROUGH OBJECT–ACTION COMPLEXES

    Dirk Kraft;Nicolas Pugeault;Nicolas Pugeault;Emre Baseski;Mila Popovic

  • Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics

    Bernd Porr;Ausra Saudargiene;Florentin Wörgötter

Frequent Co-Authors

Norbert Krüger
Norbert Krüger University of Southern Denmark
Klaus Funke
Klaus Funke Ruhr University Bochum
Ales Ude
Ales Ude Jožef Stefan Institute
Ulf T. Eysel
Ulf T. Eysel Ruhr University Bochum
Justus Piater
Justus Piater University of Innsbruck
Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
Carme Torras
Carme Torras Spanish National Research Council
Marc Timme
Marc Timme TU Dresden
Ernst Niebur
Ernst Niebur Johns Hopkins University
Fumitoshi Matsuno
Fumitoshi Matsuno Kyoto University

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