World's Best Scientists 2026 revealed!
Wolfgang Rosenstiel

Wolfgang Rosenstiel

D-Index & Metrics

Computer Science

D-Index
56
Citations
12090
World Ranking
4090
National Ranking
180

Wolfgang Rosenstiel 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 Wolfgang Rosenstiel 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: 662 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Wolfgang Rosenstiel 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 Wolfgang Rosenstiel 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Wolfgang Rosenstiel is affiliated with the University of Tübingen in Germany and has contributed to the fields of Computer Science and Engineering, with a particular focus on Hardware and Architecture, Artificial Intelligence, and Electrical and Electronic Engineering. Their research spans several subfields, including Computer Networks and Communications as well as Computer Vision and Pattern Recognition.

The scientist's main topics of research include VLSI and Analog Circuit Testing, Embedded Systems Design Techniques, and Interconnection Networks and Systems. They have also engaged in studies related to Advanced Neural Network Applications, Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI), and Advanced MEMS and NEMS Technologies.

Wolfgang Rosenstiel has published papers in multiple venues, reflecting a diverse range of research interests. These venues include:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Microelectromechanical Systems
  • TUGraz OPEN Library (Graz University of Technology)
  • International Journal of Parallel Programming

Selected recent papers by Wolfgang Rosenstiel illustrate the breadth of their work:

  • Training Decision Trees as Replacement for Convolution Layers, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Towards Cross-Subject Workload Prediction, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Frequency Induced Stiction for MEMS Accelerometers, 2020, Journal of Microelectromechanical Systems
  • A Timed-Value Stream Based ESL Timing and Power Estimation and Simulation Framework for Heterogeneous MPSoCs, 2020, International Journal of Parallel Programming

Their collaborative work often involves frequent co-authors such as Oliver Bringmann, Johannes Maximilian Kühn, Wolfgang Fuhl, Gjergji Kasneci, and Enkelejda Kasneci, indicating active research partnerships in related technical areas.

Best Publications

  • An MEG-based brain-computer interface (BCI)

    Jürgen Mellinger;Gerwin Schalk;Gerwin Schalk;Christoph Braun;Hubert Preissl;Hubert Preissl

  • EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions.

    Michael Simon;Michael Simon;Eike A. Schmidt;Wilhelm E. Kincses;Martin Fritzsche

  • Multilevel logic synthesis based on functional decision diagrams

    U. Kebschull;E. Schubert;W. Rosenstiel

  • Object-Oriented Bayesian Networks for Detection of Lane Change Maneuvers

    Dietmar Kasper;Galia Weidl;Thao Dang;Gabi Breuel

  • Methods Towards Invasive Human Brain Computer Interfaces

    Thomas N. Lal;Thilo Hinterberger;Guido Widman;Michael Schröder

  • ExCuSe: Robust Pupil Detection in Real-World Scenarios

    Wolfgang Fuhl;Thomas C. Kübler;Katrin Sippel;Wolfgang Rosenstiel

  • Synthesizing circuits from behavioural descriptions

    R. Camposano;W. Rosenstiel

  • Neural mechanisms of brain-computer interface control.

    Sebastian Halder;D. Agorastos;Ralf Veit;Eva M. Hammer

  • Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learning.

    Martin Spüler;Wolfgang Rosenstiel;Martin Bogdan;Martin Bogdan

  • SystemC: methodologies and applications

    Wolfgang Müller;Wolfgang Rosenstiel;Jürgen Ruf

  • Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI.

    Martin Spüler;Michael Bensch;Sonja Kleih;Wolfgang Rosenstiel

  • Driving with binocular visual field loss? A study on a supervised on-road parcours with simultaneous eye and head tracking

    Enkelejda Kasneci;Katrin Sippel;Kathrin Aehling;Martin Heister

  • Nessi: an EEG-controlled web browser for severely paralyzed patients

    Michael Bensch;Ahmed A. Karim;Jürgen Mellinger;Thilo Hinterberger

  • Fully Adaptive Fault-Tolerant Routing Algorithm for Network-on-Chip Architectures

    T. Schonwald;J. Zimmermann;O. Bringmann;W. Rosenstiel

  • Robust EEG channel selection across subjects for brain-computer interfaces

    Michael Schröder;Thomas Navin Lal;Thilo Hinterberger;Martin Bogdan

  • High-performance timing simulation of embedded software

    Jürgen Schnerr;Oliver Bringmann;Alexander Viehl;Wolfgang Rosenstiel

  • Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach.

    Peter Gerjets;Carina Walter;Wolfgang Rosenstiel;Martin Bogdan;Martin Bogdan

  • Online artifact removal for brain-computer interfaces using support vector machines and blind source separation

    Sebastian Halder;Michael Bensch;Jürgen Mellinger;Martin Bogdan

  • A method for partitioning UNITY language in hardware and software

    Xun Xiong;Edna Barros;Wolfgang Rosenstiel

  • Control of an Internet Browser Using the P300 Event- Related Potential

    Michael Bensch;Sebastian Halder;Wolfgang Rosenstiel;Andrea Kübler

  • Object-oriented Bayesian networks for detection of lane change maneuvers

    Dietmar Kasper;Galia Weidl;Thao Dang;Gabi Breuel

  • Evaluation of branch-prediction methods on traces from commercial applications

    R. B. Hilgendorf;G. J. Heim;W. Rosenstiel

Frequent Co-Authors

Enkelejda Kasneci
Enkelejda Kasneci Technical University of Munich
Niels Birbaumer
Niels Birbaumer University of Tübingen
Alireza Gharabaghi
Alireza Gharabaghi University of Tübingen
Andrea Kübler
Andrea Kübler University of Würzburg
Peter Gerjets
Peter Gerjets University of Tübingen
Sebastian Halder
Sebastian Halder University of Essex
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Hans-Joachim Wunderlich
Hans-Joachim Wunderlich University of Stuttgart
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Norbert Wehn
Norbert Wehn Technical University of Kaiserslautern

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