World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5150
World Ranking
12610
National Ranking
29

Pavel Matějka 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 Pavel Matějka 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: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Pavel Matějka 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 Pavel Matějka 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Pavel Matějka is affiliated with Brno University of Technology in the Czech Republic. Their research spans several fields, primarily focusing on psychology and engineering.

Their key areas of study include:

  • Psychology
  • Engineering

They also explore numerous specialized subfields such as:

  • Civil and Structural Engineering
  • Plant Science
  • Mechanical Engineering
  • Education
  • Applied Psychology

The main topics of Pavel Matějka's work cover a blend of engineering and psychological disciplines, including:

  • Soil Mechanics and Vehicle Dynamics
  • Smart Agriculture and AI
  • Agricultural Engineering and Mechanization
  • Education, Psychology, and Social Research
  • Digital Mental Health Interventions
  • Mental Health via Writing
  • Psychotherapy Techniques and Applications

Their recent published papers illustrate the intersection of these fields:

  • Comparison of Four RTK Receivers Operating in the Static and Dynamic Modes Using Measurement Robotic Arm, 2021, Sensors
  • Deep learning v psychoterapii: Strojová analýza nahrávek terapeutických sezení, 2021, E-psychologie
  • DeePsy: Představení online nástroje pro zpětnou vazbu v psychoterapii, 2023, Psychoterapie

Pavel Matějka has collaborated frequently with several coauthors, notably:

  • Tomáš Řiháček
  • Jan Kadeřábek
  • V. Shapoval
  • M. Kroulík
  • František Kumhála

In terms of publication venues, their work has appeared mainly in:

  • Sensors
  • E-psychologie
  • Psychoterapie

Best Publications

  • Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006

    N. Brummer;L. Burget;J.H. Cernocky;O. Glembek

  • Language Recognition in iVectors Space

    David Martínez González;Oldrich Plchot;Lukás Burget;Ondrej Glembek

  • Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data

    Christopher McCool;Sebastien Marcel;Abdenour Hadid;Matti Pietikainen

  • Hierarchical Structures of Neural Networks for Phoneme Recognition

    P. Schwarz;P. Matejka;J. Cernocky

  • Comparison of keyword spotting approaches for informal continuous speech.

    Igor Szöke;Petr Schwarz;Pavel Matejka;Lukás Burget

  • Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification

    Pavel Matejka;Ondrej Glembek;Fabio Castaldo;M.J. Alam

  • Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification

    Lukas Burget;Oldrich Plchot;Sandro Cumani;Ondrej Glembek

  • Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System

    L. Burget;P. Matejka;P. Schwarz;O. Glembek

  • Phonotactic language identification using high quality phoneme recognition.

    Pavel Matejka;Petr Schwarz;Jan Cernocký;Pavel Chytil

  • Simplification and optimization of i-vector extraction

    Ondrej Glembek;Lukas Burget;Pavel Matejka;Martin Karafiat

  • Towards Lower Error Rates in Phoneme Recognition

    Petr Schwarz;Pavel Matějka;Jan Černocký

  • Neural Network Bottleneck Features for Language Identification

    Unknown

  • Mobile Biometrics (MoBio): Joint Face and Voice Verification for a Mobile Platform

    P. Tresadern;C. McCool;N. Poh;P. Matejka

  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation

    P. Matejka;L. Burget;P. Sckwarz;J. Cernocky

  • Developing a Speech Activity Detection System for the DARPA RATS Program.

    Tim Ng;Bing Zhang;Long Nguyen;Spyros Matsoukas

  • Analysis of DNN approaches to speaker identification

    Pavel Matejka;Ondrej Glembek;Ondrej Novotny;Oldrich Plchot

  • BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

    Hossein Zeinali;Shuai Wang;Anna Silnova;Pavel Matejka

  • Analysis of Score Normalization in Multilingual Speaker Recognition.

    Pavel Matějka;Ondřej Novotný;Oldřich Plchot;Lukáš Burget

  • Discriminative Training Techniques for Acoustic Language Identification

    L. Burget;P. Matejka;J. Cernocky

  • iVector-based discriminative adaptation for automatic speech recognition

    Martin Karafiat;Lukas Burget;Pavel Matejka;Ondrej Glembek

  • Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

    L. Burget;P. Schwarz;P. Matejka;M. Hannemann

  • Mobile Biometrics: Combined Face and Voice Verification for a Mobile Platform

    P. Tresadern;T. F. Cootes;N. Poh;P. Matejka

  • Phoneme based acoustics keyword spotting in informal continuous speech

    Igor Szöke;Petr Schwarz;Pavel Matějka;Lukáš Burget

Frequent Co-Authors

Lukas Burget
Lukas Burget Brno University of Technology
Martin Karafiat
Martin Karafiat Brno University of Technology
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Björn Schuller
Björn Schuller Imperial College London
Sethuraman Panchanathan
Sethuraman Panchanathan Arizona State University
Jean-François Bonastre
Jean-François Bonastre University of Avignon
Josef Kittler
Josef Kittler University of Surrey
Patrick Kenny
Patrick Kenny École de Technologie Supérieure

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