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Elmar Nöth

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5129 4989 234 227 408 9804

Elmar Nöth publications per year

The chart shows the history of publications by Elmar Nöth between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Elmar Nöth published across 39 years, from 1987 to 2025, averaging 12.1 papers a year. Output peaked at 28 publications in 2022. 24 of the 472 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2022. 1987: 1 publication 1988: 2 publications 1989: 1 publication 1990: 0 publications 1991: 3 publications 1992: 7 publications 1993: 0 publications 1994: 10 publications 1995: 9 publications 1996: 11 publications 1997: 11 publications 1998: 6 publications 1999: 16 publications 2000: 8 publications 2001: 10 publications 2002: 7 publications 2003: 15 publications 2004: 8 publications 2005: 11 publications 2006: 14 publications 2007: 17 publications 2008: 18 publications 2009: 25 publications 2010: 9 publications 2011: 18 publications 2012: 10 publications 2013: 12 publications 2014: 13 publications 2015: 19 publications 2016: 18 publications 2017: 18 publications 2018: 12 publications 2019: 24 publications 2020: 14 publications 2021: 18 publications 2022: 28 publications 2023: 25 publications 2024: 9 publications 2025: 15 publications
1987 2025

472 publications in total across all disciplines

View publications per year as a table
Elmar Nöth: publications per year, 1987 to 2025
Year Publications
1987 1
1988 2
1989 1
1990 0
1991 3
1992 7
1993 0
1994 10
1995 9
1996 11
1997 11
1998 6
1999 16
2000 8
2001 10
2002 7
2003 15
2004 8
2005 11
2006 14
2007 17
2008 18
2009 25
2010 9
2011 18
2012 10
2013 12
2014 13
2015 19
2016 18
2017 18
2018 12
2019 24
2020 14
2021 18
2022 28
2023 25
2024 9
2025 15
Total 472
Download as CSV

Elmar Nöth 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 Elmar Nöth sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 402–411 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 408 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104 408
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Elmar Nöth 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 Elmar Nöth sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 52
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Elmar Nöth is affiliated with the University of Erlangen-Nuremberg in Germany. Their research focuses primarily on the intersection of computer science, medicine, and psychology, contributing significantly to the understanding and processing of speech and related disorders.

Their scholarly output includes numerous publications centered on topics such as voice and speech disorders, speech recognition and synthesis, phonetics and phonology research, speech and audio processing, dysphagia assessment and management, music and audio processing, and stuttering research and treatment.

Elmar Nöth has published extensively in several scientific venues. The most frequent publication outlets include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Scientific Reports
  • Computer Speech & Language
  • Interspeech 2022

The scientist's research spans multiple subfields, highlighting diverse expertise in areas such as physiology, artificial intelligence, experimental and cognitive psychology, signal processing, and speech and hearing.

Frequent collaborators include:

  • Juan Rafael Orozco-Arroyave
  • Juan Camilo Vásquez-Correa
  • Tomás Arias-Vergara
  • Paula Andrea Pérez-Toro
  • Sebastian P. Bayerl

Notable recent publications illustrate Elmar Nöth's focus on speech and pathological speech processing using advanced computational methods:

  • "Multi-channel spectrograms for speech processing applications using deep learning methods," 2020, Pattern Analysis and Applications
  • "Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach," 2021, Movement Disorders
  • "From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages," 2020, Cortex
  • "Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate," 2020, Speech Communication
  • "Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages," 2021, Pattern Recognition Letters

Their work utilizes machine learning and deep learning techniques to analyze speech characteristics related to disorders such as Parkinson's disease and cleft lip and palate, combining computational models with clinical speech assessment.

Best Publications

  • How to find trouble in communication

    A. Batliner;K. Fischer;R. Huber;J. Spilker

  • The INTERSPEECH 2012 Speaker Trait Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Elmar Nöth

  • VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system

    E. Noth;A. Batliner;A. Kiessling;R. Kompe

  • Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

    Juan Camilo Vasquez-Correa;Tomas Arias-Vergara;J. R. Orozco-Arroyave;Bjorn Eskofier

  • Automatic detection of Parkinson's disease in running speech spoken in three different languages.

    J. R. Orozco-Arroyave;F. Hönig;J. D. Arias-Londoño;J. F. Vargas-Bonilla

  • PEAKS - A system for the automatic evaluation of voice and speech disorders

    A. Maier;T. Haderlein;U. Eysholdt;F. Rosanowski

  • “You Stupid Tin Box” - Children Interacting with the AIBO Robot: A Cross-linguistic Emotional Speech Corpus

    Anton Batliner;Christian Hacker;Stefan Steidl;Elmar Nöth

  • The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's & Eating Condition

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Simone Hantke

  • Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

    T. Bocklet;A. Maier;J.G. Bauer;F. Burkhardt

  • "Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]

    S. Steidl;M. Levit;A. Batliner;E. Noth

  • Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition

    Maria Schuster;Andreas Maier;Tino Haderlein;Emeka Nkenke

  • Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases

    Juan Rafael Orozco-Arroyave;Elkyn Alexander Belalcazar-Bolanos;Julian David Arias-Londono;Jesus Francisco Vargas-Bonilla

  • Interpolated markov chains for eukaryotic promoter recognition.

    Uwe Ohler;Stefan Harbeck;Heinrich Niemann;Elmar Nöth

  • NeuroSpeech: An open-source software for Parkinson's speech analysis

    Juan Rafael Orozco-Arroyave;Juan Camilo Vásquez-Correa;Jesús Francisco Vargas-Bonilla;Raman Arora

  • Vowel- and Text-Based Cepstral Analysis of Chronic Hoarseness

    Cornelia Moers;Bernd Möbius;Frank Rosanowski;Elmar Nöth

  • Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

    Marek Wodzinski;Andrzej Skalski;Daria Hemmerling;Juan Rafael Orozco-Arroyave

  • Private emotions versus social interaction: a data-driven approach towards analysing emotion in speech

    Anton Batliner;Stefan Steidl;Christian Hacker;Elmar Nöth

  • ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

    Christian Bergler;Hendrik Schröter;Rachael Xi Cheng;Volker Barth

  • Dialog act classification with the help of prosody

    M. Mast;R. Kompe;S. Harbeck;A. Kiessling

  • Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease.

    J.C. Vásquez-Correa;J.C. Vásquez-Correa;J.R. Orozco-Arroyave;J.R. Orozco-Arroyave;T. Bocklet;E. Nöth

  • Automatic pronunciation scoring of words and sentences independent from the non-native's first language

    Tobias Cincarek;Rainer Gruhn;Christian Hacker;Elmar Nöth

  • Integrated dialog act segmentation and classification using prosodic features and language models.

    Volker Warnke;Ralf Kompe;Heinrich Niemann;Elmar Nöth

  • The Recognition of Emotion

    Anton Batliner;Richard Huber;Heinrich Niemann;Elmar Nöth

Frequent Co-Authors

Juan Rafael Orozco-Arroyave
Juan Rafael Orozco-Arroyave University of Antioquia
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Adolfo M. García
Adolfo M. García University of San Andrés
Björn Schuller
Björn Schuller Imperial College London
Najim Dehak
Najim Dehak Johns Hopkins University

External Links

Personal website of Elmar Nöth Google Scholar page

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Best Scientists Citing Elmar Nöth

Björn Schuller

Björn Schuller

Imperial College London

Publications: 101

Anton Batliner

Anton Batliner

University of Erlangen-Nuremberg

Publications: 60

Adolfo M. García

Adolfo M. García

University of San Andrés

Publications: 41

Shrikanth S. Narayanan

Shrikanth S. Narayanan

University of Southern California

Publications: 36

Juan Rafael Orozco-Arroyave

Juan Rafael Orozco-Arroyave

University of Antioquia

Publications: 35

Thomas R. Gruber

Thomas R. Gruber

Austrian Institute of Technology

Publications: 33

Stefan Steidl

Stefan Steidl

MorphoSys (Germany)

Publications: 30

Elizabeth Shriberg

Elizabeth Shriberg

International Computer Science Institute

Publications: 28

Diane J. Litman

Diane J. Litman

University of Pittsburgh

Publications: 25

Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

Publications: 23

Laurence Devillers

Laurence Devillers

Sorbonne University

Publications: 23

Florian Eyben

Florian Eyben

Technical University of Munich

Publications: 22

Roddy Cowie

Roddy Cowie

Queen's University Belfast

Publications: 22

Lucas Sedeño

Lucas Sedeño

National Scientific and Technical Research Council

Publications: 20

Elisabeth André

Elisabeth André

University of Augsburg

Publications: 19

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Agustín Ibáñez

Adolfo Ibáñez University

Publications: 19

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