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Daniel P. W. Ellis

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 75 665 636 297 275 379 29149
Computer Science 80 1060 1025 568 546 435 33506

Daniel P. W. Ellis publications per year

The chart shows the history of publications by Daniel P. W. Ellis between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel P. W. Ellis published across 36 years, from 1990 to 2025, averaging 12.6 papers a year. Output peaked at 57 publications in 2011. 2 of the 452 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 57. Peak 57 publications in 2011. 1990: 1 publication 1991: 2 publications 1992: 4 publications 1993: 3 publications 1994: 3 publications 1995: 2 publications 1996: 3 publications 1997: 6 publications 1998: 11 publications 1999: 18 publications 2000: 14 publications 2001: 13 publications 2002: 9 publications 2003: 27 publications 2004: 28 publications 2005: 20 publications 2006: 27 publications 2007: 31 publications 2008: 19 publications 2009: 19 publications 2010: 22 publications 2011: 57 publications 2012: 17 publications 2013: 15 publications 2014: 15 publications 2015: 10 publications 2016: 4 publications 2017: 8 publications 2018: 13 publications 2019: 6 publications 2020: 9 publications 2021: 7 publications 2022: 6 publications 2023: 1 publication 2024: 1 publication 2025: 1 publication
1990 2025

452 publications in total across all disciplines

View publications per year as a table
Daniel P. W. Ellis: publications per year, 1990 to 2025
Year Publications
1990 1
1991 2
1992 4
1993 3
1994 3
1995 2
1996 3
1997 6
1998 11
1999 18
2000 14
2001 13
2002 9
2003 27
2004 28
2005 20
2006 27
2007 31
2008 19
2009 19
2010 22
2011 57
2012 17
2013 15
2014 15
2015 10
2016 4
2017 8
2018 13
2019 6
2020 9
2021 7
2022 6
2023 1
2024 1
2025 1
Total 452
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Daniel P. W. Ellis publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Daniel P. W. Ellis sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 374–393 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 379 publications — 72nd percentile

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

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187 379
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Daniel P. W. Ellis D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel P. W. Ellis sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 75 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35 75
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to speech, audio, and music processing

Overview

Daniel P. W. Ellis is affiliated with Google in the United States and specializes in research within the field of Computer Science. Their work primarily focuses on Signal Processing, with additional contributions in Infectious Diseases, Computer Vision and Pattern Recognition, Speech and Hearing, and Music.

Their research covers several main topics including Music and Audio Processing, Speech and Audio Processing, Music Technology and Sound Studies, Noise Effects and Management, Diverse Musicological Studies, Hearing Loss and Rehabilitation, and Acoustic Wave Phenomena Research.

Daniel P. W. Ellis has published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Letters
  • Journal of Occupational and Environmental Hygiene

Recent papers include:

  • MuLan: A Joint Embedding of Music Audio and Natural Language, 2022, arXiv (Cornell University)
  • Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds, 2020, arXiv (Cornell University)
  • Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking, 2020, IEEE Signal Processing Letters
  • Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2021), 2021, arXiv (Cornell University)
  • Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system, 2022, arXiv (Cornell University)

Frequent co-authors in their research include:

  • Eduardo Fonseca
  • Aren Jansen
  • Manoj Plakal
  • Shawn Hershey
  • Frederic Font

Daniel P. W. Ellis was recognized as an IEEE Fellow in 2018 for contributions to speech, audio, and music processing.

Best Publications

  • librosa: Audio and Music Signal Analysis in Python

    Brian McFee;Colin Raffel;Dawen Liang;Daniel P.W. Ellis

  • Audio Set: An ontology and human-labeled dataset for audio events

    Jort F. Gemmeke;Daniel P. W. Ellis;Dylan Freedman;Aren Jansen

  • CNN architectures for large-scale audio classification

    Shawn Hershey;Sourish Chaudhuri;Daniel P. W. Ellis;Jort F. Gemmeke

  • THE MILLION SONG DATASET

    Thierry Bertin-Mahieux;Daniel P. W. Ellis;Brian Whitman;Paul Lamere

  • Speech and Audio Signal Processing: Processing and Perception of Speech and Music

    Ben Gold;Nelson Morgan;Dan Ellis

  • Tandem connectionist feature extraction for conventional HMM systems

    H. Hermansky;D.P.W. Ellis;S. Sharma

  • The ICSI Meeting Corpus

    A. Janin;D. Baron;J. Edwards;D. Ellis

  • Beat Tracking by Dynamic Programming

    Daniel P. W. Ellis

  • Identifying `Cover Songs' with Chroma Features and Dynamic Programming Beat Tracking

    D. P. W. Ellis;G. E. Poliner

  • Prediction-driven computational auditory scene analysis

    Daniel P. W. Ellis;Barry L. Vercoe

  • A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures

    Adam Berenzweig;Beth Logan;Daniel P. W. Ellis;Brian P. W. Whitman;Brian P. W. Whitman

  • MIR_EVAL: A Transparent Implementation of Common MIR Metrics.

    Colin Raffel;Brian McFee;Eric J. Humphrey;Justin Salamon

  • Chord Segmentation and Recognition using EM-Trained Hidden Markov Models

    Alexander Sheh;Daniel P. W. Ellis

  • Song-Level Features and Support Vector Machines for Music Classification

    Michael I. Mandel;Daniel P. W. Ellis

  • Consumer video understanding: a benchmark database and an evaluation of human and machine performance

    Yu-Gang Jiang;Guangnan Ye;Shih-Fu Chang;Daniel Ellis

  • Signal Processing for Music Analysis

    M. Muller;D. P. W. Ellis;A. Klapuri;G. Richard

  • Model-Based Expectation-Maximization Source Separation and Localization

    M.I. Mandel;R.J. Weiss;D. Ellis

  • A discriminative model for polyphonic piano transcription

    Graham E. Poliner;Daniel P. W. Ellis

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Melody Transcription From Music Audio: Approaches and Evaluation

    G.E. Poliner;D.P.W. Ellis;A.F. Ehmann;E. Gomez

  • Speech and Audio Signal Processing

    Simon King;Dan Ellis;Nelson Morgan

  • 8. Pattern Classification

    Unknown

Frequent Co-Authors

Nelson Morgan
Nelson Morgan International Computer Science Institute
Ron Weiss
Ron Weiss MIT
Aren Jansen
Aren Jansen Google (United States)
Shih-Fu Chang
Shih-Fu Chang Columbia University
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Colin Raffel
Colin Raffel University of Toronto
Xavier Serra
Xavier Serra Pompeu Fabra University
Alexander C. Loui
Alexander C. Loui Rochester Institute of Technology
Martin Cooke
Martin Cooke Ikerbasque
Malcolm Slaney
Malcolm Slaney Stanford University

External Links

Personal website of Daniel P. W. Ellis Google Scholar page

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