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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
16373
World Ranking
1996
National Ranking
78

Tanja Schultz 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 Tanja Schultz 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: 467 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Tanja Schultz 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 Tanja Schultz 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2020 - IEEE Fellow For contributions to multilingual speech recognition and biosignal processing
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Tanja Schultz is affiliated with the University of Bremen in Germany. Their research activity spans multiple intersecting fields, primarily within Computer Science and Neuroscience. The main areas of study include Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, and Experimental and Cognitive Psychology.

The scientific work addresses several focused research topics including EEG and Brain-Computer Interfaces, Context-Aware Activity Recognition Systems, Speech Recognition and Synthesis, Neural dynamics and brain function, Anomaly Detection Techniques and Applications, Speech and Audio Processing, and Music and Audio Processing.

Tanja Schultz has authored numerous papers published in various venues. Notable recent publications include:

  • TSFEL: Time Series Feature Extraction Library, 2020, SoftwareX
  • Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity, 2021, Communications Biology
  • Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data, 2023, Frontiers in Physiology
  • MS2OD: outlier detection using minimum spanning tree and medoid selection, 2024, Machine Learning Science and Technology
  • The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings, 2023, NeuroImage

The scientist frequently publishes in venues such as arXiv (Cornell University), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Interspeech 2022, Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, and Frontiers in Computer Science.

Collaborative work features repeated coauthorship with other researchers, notably Hui Liu, Felix Putze, Dean J. Krusienski, Haizhou Li, and Christian Herff, reflecting consistent partnerships in their research projects.

Tanja Schultz has been recognized with several distinctions including being named IEEE Fellow in 2020 for contributions to multilingual speech recognition and biosignal processing. Additionally, they hold membership in the European Academy of Sciences and Arts.

Best Publications

  • Silent speech interfaces

    B. Denby;T. Schultz;K. Honda;T. Hueber

  • Automatic speech recognition for under-resourced languages: A survey

    Laurent Besacier;Etienne Barnard;Alexey Karpov;Tanja Schultz

  • Language-independent and language-adaptive acoustic modeling for speech recognition

    Tanja Schultz;Tanja Schultz;Alex Waibel;Alex Waibel

  • TSFEL: Time Series Feature Extraction Library

    Marília Barandas;Duarte Folgado;Letícia Fernandes;Sara Santos

  • Mental workload during n-back task-quantified in the prefrontal cortex using fNIRS.

    Christian Herff;Dominic Heger;Ole Fortmann;Johannes Hennrich

  • Brain-to-text: Decoding spoken phrases from phone representations in the brain

    Christian Herff;Dominic Heger;Adriana de Pesters;Adriana de Pesters;Dominic Telaar

  • GlobalPhone: A Multilingual Speech and Text Database developed at Karlsruhe University

    Tanja Schultz

  • Multilingual Speech Processing

    Tanja Schultz;Katrin Kirchhoff

  • Modeling coarticulation in EMG-based continuous speech recognition

    Tanja Schultz;Michael Wand

  • Speech synthesis from ECoG using densely connected 3D convolutional neural networks

    Miguel Angrick;Christian Herff;Christian Herff;Emily Mugler;Matthew C Tate

  • Comparison of acoustic model adaptation techniques on non-native speech

    Zhirong Wang;T. Schultz;A. Waibel

  • Biosignal-Based Spoken Communication: A Survey

    Tanja Schultz;Michael Wand;Thomas Hueber;Dean J. Krusienski

  • Advancing Muscle-Computer Interfaces with High-Density Electromyography

    Christoph Amma;Thomas Krings;Jonas Böer;Tanja Schultz

  • Advances in automatic meeting record creation and access

    A. Waibel;M. Bett;F. Metze;K. Ries

  • Towards Continuous Speech Recognition Using Surface Electromyography

    Szu-Chen Stan Jou;Tanja Schultz;Matthias Walliczek;Florian Kraft

  • A first speech recognition system for Mandarin-English code-switch conversational speech

    Ngoc Thang Vu;Dau-Cheng Lyu;Jochen Weiner;Dominic Telaar

  • Recognition of music types

    H. Soltau;T. Schultz;M. Westphal;A. Waibel

  • Grapheme Based Speech Recognition

    Mirjam Killer;Sebastian St ¨ uker;Tanja Schultz

  • Session independent non-audible speech recognition using surface electromyography

    L. Maier-Hein;F. Metze;T. Schultz;A. Waibel

  • Towards emotion recognition from electroencephalographic signals

    Kristina Schaaff;Tanja Schultz

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz
Florian Metze
Florian Metze Carnegie Mellon University
Alan W. Black
Alan W. Black Carnegie Mellon University
Stephan Vogel
Stephan Vogel University of Graz
Hagen Soltau
Hagen Soltau Google (United States)
Alon Lavie
Alon Lavie Carnegie Mellon University
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Rainer Stiefelhagen
Rainer Stiefelhagen Karlsruhe Institute of Technology
Gerwin Schalk
Gerwin Schalk Sichuan University

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