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Gerhard Rigoll
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Computer Science
Germany
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 69 1981 1919 76 73 566 18384

Gerhard Rigoll publications per year

The chart shows the history of publications by Gerhard Rigoll between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gerhard Rigoll published across 40 years, from 1986 to 2025, averaging 15.1 papers a year. Output peaked at 40 publications in 2009. 22 of the 602 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 40. Peak 40 publications in 2009. 1986: 1 publication 1987: 1 publication 1988: 2 publications 1989: 2 publications 1990: 4 publications 1991: 2 publications 1992: 2 publications 1993: 2 publications 1994: 2 publications 1995: 3 publications 1996: 6 publications 1997: 11 publications 1998: 17 publications 1999: 20 publications 2000: 14 publications 2001: 21 publications 2002: 13 publications 2003: 16 publications 2004: 19 publications 2005: 18 publications 2006: 23 publications 2007: 30 publications 2008: 36 publications 2009: 40 publications 2010: 28 publications 2011: 28 publications 2012: 18 publications 2013: 27 publications 2014: 36 publications 2015: 11 publications 2016: 20 publications 2017: 10 publications 2018: 12 publications 2019: 21 publications 2020: 12 publications 2021: 24 publications 2022: 16 publications 2023: 12 publications 2024: 13 publications 2025: 9 publications
1986 2025

602 publications in total across all disciplines

View publications per year as a table
Gerhard Rigoll: publications per year, 1986 to 2025
Year Publications
1986 1
1987 1
1988 2
1989 2
1990 4
1991 2
1992 2
1993 2
1994 2
1995 3
1996 6
1997 11
1998 17
1999 20
2000 14
2001 21
2002 13
2003 16
2004 19
2005 18
2006 23
2007 30
2008 36
2009 40
2010 28
2011 28
2012 18
2013 27
2014 36
2015 11
2016 20
2017 10
2018 12
2019 21
2020 12
2021 24
2022 16
2023 12
2024 13
2025 9
Total 602
Download as CSV

Gerhard Rigoll 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 Gerhard Rigoll 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, 562–571 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: 566 publications — 95th percentile

95% 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
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 28 566
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

Gerhard Rigoll 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 Gerhard Rigoll 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, 68–69 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: 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.

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
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213 69
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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2019 - IEEE Fellow For contributions to multimodal human-machine communication

Overview

Gerhard Rigoll is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on computer science and engineering, with significant contributions in the fields of computer vision and pattern recognition, artificial intelligence, signal processing, biomedical engineering, and aerospace engineering.

The scientist's work covers a variety of topics including:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Face Recognition and Analysis
  • Video Surveillance and Tracking Methods

Gerhard Rigoll has collaborated frequently with several co-authors, notably Fabian Herzog, Ludwig Kürzinger, Tobias Watzel, Torben Teepe, and Lujun Li, each with more than a dozen joint publications.

The scientist has published extensively, including papers such as:

  • Towards a Deeper Understanding of Skeleton-based Gait Recognition (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Online Dynamic Hand Gesture Recognition Including Efficiency Analysis (2020), published in IEEE Transactions on Biometrics Behavior and Identity Science
  • How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild (2021), in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments (2021), featured at the 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
  • Improved 3D Object Detector Under Snowfall Weather Condition Based on LiDAR Point Cloud (2022), appearing in the IEEE Sensors Journal

In addition to conference and journal papers, Gerhard Rigoll has contributed to book publications with Springer Science+Business Media. These include the titles Interactive Collaborative Robotics published in both 2020 and 2021.

Publication venues where Rigoll's work frequently appears include arXiv (Cornell University), Lecture Notes in Computer Science, the IEEE International Conference on Automatic Face and Gesture Recognition, IEEE Sensors Journal, and Automotive Innovation.

Recognitions awarded to Gerhard Rigoll include the IEEE Fellow distinction in 2019 for contributions to multimodal human-machine communication.

Best Publications

  • Hidden Markov model-based speech emotion recognition

    B. Schuller;G. Rigoll;M. Lang

  • Background segmentation with feedback: The Pixel-Based Adaptive Segmenter

    Martin Hofmann;Philipp Tiefenbacher;Gerhard Rigoll

  • SVC2004: First International Signature Verification Competition

    Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

  • Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

    B. Schuller;G. Rigoll;M. Lang

  • Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

    B Schuller;B Vlasenko;F Eyben;Martin Wöllmer

  • A deep convolutional neural network for video sequence background subtraction

    Mohammadreza Babaee;Duc Tung Dinh;Gerhard Rigoll

  • Acoustic emotion recognition: A benchmark comparison of performances

    Bjorn Schuller;Bogdan Vlasenko;Florian Eyben;Gerhard Rigoll

  • LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

    Martin WöLlmer;Moritz Kaiser;Florian Eyben;BjöRn Schuller

  • Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

    Okan Kopuklu;Ahmet Gunduz;Neslihan Kose;Gerhard Rigoll

  • The TUM Gait from Audio, Image and Depth (GAID) database

    Martin Hofmann;Jürgen Geiger;Sebastian Bachmann;Björn Schuller

  • Multi-view gait recognition using 3D convolutional neural networks

    Thomas Wolf;Mohammadreza Babaee;Gerhard Rigoll

  • High performance real-time gesture recognition using Hidden Markov Models

    G. Rigoll;A. Kosmala;S. Eickeler

  • Speaker adaptation for large vocabulary speech recognition systems using speaker Markov models

    G. Rigoll

  • Resource Efficient 3D Convolutional Neural Networks

    Okan Kopuklu;Neslihan Kose;Ahmet Gunduz;Gerhard Rigoll

  • Recognition of JPEG compressed face images based on statistical methods

    Stefan Eickeler;Stefan Müller;Gerhard Rigoll

  • Being bored? Recognising natural interest by extensive audiovisual integration for real-life application

    Björn Schuller;Ronald Müller;Florian Eyben;Jürgen Gast

  • Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

    Torben Teepe;Ali Khan;Johannes Gilg;Fabian Herzog

  • Speaker Independent Emotion Recognition by Early Fusion of Acoustic and Linguistic Features within Ensembles

    Björn W. Schuller;Ronald Müller;Manfred K. Lang;Gerhard Rigoll

  • Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening

    Martin Wöllmer;Björn Schuller;Florian Eyben;Gerhard Rigoll

  • Speaker Independent Speech Emotion Recognition by Ensemble Classification

    B. Schuller;S. Reiter;R. Muller;M. Al-Hames

  • Hidden Markov model based continuous online gesture recognition

    S. Eickeler;A. Kosmala;G. Rigoll

  • Hidden Markov model-based speech emotion recognition

    Unknown

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Florian Eyben
Florian Eyben Technical University of Munich
Felix Weninger
Felix Weninger Nuance Communications (United States)
Mihai Datcu
Mihai Datcu German Aerospace Center
Shamik Sural
Shamik Sural Indian Institute of Technology Kharagpur
Nicholas Evans
Nicholas Evans EURECOM
Alex Graves
Alex Graves Google (United States)
Steve Renals
Steve Renals University of Edinburgh
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras

External Links

Personal website of Gerhard Rigoll Google Scholar page

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Best Scientists Citing Gerhard Rigoll

Björn Schuller

Björn Schuller

Imperial College London

Publications: 217

Florian Eyben

Florian Eyben

Technical University of Munich

Publications: 50

Shrikanth S. Narayanan

Shrikanth S. Narayanan

University of Southern California

Publications: 48

Felix Weninger

Felix Weninger

Nuance Communications (United States)

Publications: 45

Maja Pantic

Maja Pantic

Imperial College London

Publications: 42

Horst Bunke

Horst Bunke

University of Bern

Publications: 41

Martin Wöllmer

Martin Wöllmer

Technical University of Munich

Publications: 38

Anton Batliner

Anton Batliner

University of Erlangen-Nuremberg

Publications: 34

Thomas R. Gruber

Thomas R. Gruber

Austrian Institute of Technology

Publications: 33

Yasushi Yagi

Yasushi Yagi

Osaka University

Publications: 30

Javier Ortega-Garcia

Javier Ortega-Garcia

Autonomous University of Madrid

Publications: 27

Hermann Ney

Hermann Ney

RWTH Aachen University

Publications: 26

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 26

Julien Epps

Julien Epps

University of New South Wales

Publications: 26

Yasushi Makihara

Yasushi Makihara

Osaka University

Publications: 24

Tuomas Virtanen

Tuomas Virtanen

Tampere University

Publications: 24

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