World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 104 308 298 169 163 1141 47476

Shrikanth S. Narayanan publications per year

The chart shows the history of publications by Shrikanth S. Narayanan between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shrikanth S. Narayanan published across 41 years, from 1986 to 2026, averaging 32.5 papers a year. Output peaked at 83 publications in 2013. 37 of the 1,331 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 83. Peak 83 publications in 2013. 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 3 publications 1995: 4 publications 1996: 6 publications 1997: 14 publications 1998: 7 publications 1999: 6 publications 2000: 10 publications 2001: 13 publications 2002: 21 publications 2003: 29 publications 2004: 35 publications 2005: 29 publications 2006: 42 publications 2007: 53 publications 2008: 64 publications 2009: 61 publications 2010: 58 publications 2011: 70 publications 2012: 51 publications 2013: 83 publications 2014: 72 publications 2015: 52 publications 2016: 67 publications 2017: 57 publications 2018: 49 publications 2019: 70 publications 2020: 72 publications 2021: 65 publications 2022: 43 publications 2023: 41 publications 2024: 45 publications 2025: 35 publications 2026: 2 publications
1986 2026

1,331 publications in total across all disciplines

View publications per year as a table
Shrikanth S. Narayanan: publications per year, 1986 to 2026
Year Publications
1986 1
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 3
1995 4
1996 6
1997 14
1998 7
1999 6
2000 10
2001 13
2002 21
2003 29
2004 35
2005 29
2006 42
2007 53
2008 64
2009 61
2010 58
2011 70
2012 51
2013 83
2014 72
2015 52
2016 67
2017 57
2018 49
2019 70
2020 72
2021 65
2022 43
2023 41
2024 45
2025 35
2026 2
Total 1,331
Download as CSV

Shrikanth S. Narayanan 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 Shrikanth S. Narayanan 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, 991+ 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: 1,141 publications — 100th percentile

100% 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
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 1,141
Download as CSV

Shrikanth S. Narayanan 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 Shrikanth S. Narayanan 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, 104–105 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: 104 D-Index — 98th percentile

98% 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
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 37 104
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

  • 2016 - Fellow, National Academy of Inventors
  • 2009 - IEEE Fellow For contributions to human-centric multimodal signal processing and applications
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Shrikanth S. Narayanan is affiliated with the University of Southern California in the United States. Their research spans multiple disciplines with a primary focus on computer science and psychology, integrating elements of artificial intelligence, signal processing, and cognitive neuroscience. Their work is especially relevant to areas such as speech recognition, audio processing, and mental health research.

The scientist has contributed extensively to both main fields and subfields of study, with notable publications in:

  • Computer Science (222 publications)
  • Psychology (102 publications)

Within subfields, their work covers:

  • Artificial Intelligence (114 publications)
  • Signal Processing (76 publications)
  • Experimental and Cognitive Psychology (54 publications)
  • Computer Vision and Pattern Recognition (29 publications)
  • Cognitive Neuroscience (23 publications)

Their primary research topics include:

  • Speech Recognition and Synthesis (88 publications)
  • Speech and Audio Processing (80 publications)
  • Music and Audio Processing (68 publications)
  • Mental Health Research Topics (34 publications)
  • Emotion and Mood Recognition (32 publications)
  • Topic Modeling (30 publications)
  • Phonetics and Phonology Research (26 publications)

Frequent publication venues for the scientist are:

  • arXiv (Cornell University), 86 publications
  • IEEE Journal of Selected Topics in Signal Processing, 11 publications
  • Computer Speech & Language, 8 publications
  • The Journal of the Acoustical Society of America, 7 publications
  • PLoS ONE, 6 publications

Prominent co-authors who have collaborated frequently with Shrikanth S. Narayanan include:

  • Tiantian Feng (27 co-authored works)
  • David C. Atkins (16 co-authored works)
  • Krishna Somandepalli (15 co-authored works)
  • Kristina Lerman (14 co-authored works)
  • Nikolaos Flemotomos (13 co-authored works)

Selected recent papers illustrate the scientist's interdisciplinary focus on speech, language, and mental health technologies:

  • Machine learning and natural language processing in psychotherapy research: Alliance as example use case, 2020, Journal of Counseling Psychology
  • TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers, 2020, Scientific Data
  • Clinical state tracking in serious mental illness through computational analysis of speech, 2020, PLoS ONE
  • Automated evaluation of psychotherapy skills using speech and language technologies, 2021, Behavior Research Methods
  • Computational Media Intelligence: Human-Centered Machine Analysis of Media, 2021, Proceedings of the IEEE

The scientist has been recognized with several awards, including:

  • Fellow of the IEEE, awarded in 2009, for contributions to human-centric multimodal signal processing and applications
  • Fellow of the American Association for the Advancement of Science (AAAS), 2009
  • Fellow of the National Academy of Inventors, 2016

Best Publications

  • IEMOCAP: interactive emotional dyadic motion capture database

    Carlos Busso;Murtaza Bulut;Chi Chun Lee;Abe Kazemzadeh

  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

    Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg

  • Toward detecting emotions in spoken dialogs

    Chul Min Lee;S.S. Narayanan

  • Analysis of emotion recognition using facial expressions, speech and multimodal information

    Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut

  • Acoustics of children's speech: developmental changes of temporal and spectral parameters.

    Sungbok Lee;Alexandros Potamianos;Shrikanth Narayanan

  • Emotion recognition using a hierarchical binary decision tree approach

    Chi-Chun Lee;Emily Mower;Carlos Busso;Sungbok Lee

  • Environmental Sound Recognition With Time–Frequency Audio Features

    S. Chu;S. Narayanan;C.-C.J. Kuo

  • Emotion Recognition System

    Shrikanth S. Narayanan

  • The INTERSPEECH 2010 Paralinguistic Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle

    Hao Wang;Dogan Can;Abe Kazemzadeh;François Bar

  • System and method for processing speech recognition

    Richard C. Rose;Sarangarajan Pathasarathy;Aaron Edward Rosenberg;Shrikanth Sambasivan Narayanan

  • Method of using a natural language interface to retrieve information from one or more data resources

    Esther Levin;Shrikanth Sambasivan Narayanan;Roberto Pieraccini;Ilija Zeljkovic

  • The Vera am Mittag German audio-visual emotional speech database

    M. Grimm;K. Kroschel;S. Narayanan

  • System and method of performing user-specific automatic speech recognition

    Bojana Gajic;Shrikanth Sambasivan Narayanan;Sarangarajan Parthasarathy;Richard Cameron Rose

  • An approach to real-time magnetic resonance imaging for speech production.

    Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy

  • Primitives-based evaluation and estimation of emotions in speech

    Michael Grimm;Kristian Kroschel;Emily Mower;Shrikanth Narayanan

  • Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection

    C. Busso;Sungbok Lee;S. Narayanan

  • Paralinguistics in speech and language-State-of-the-art and the challenge

    BjöRn Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

    S. Narayanan;P. G. Georgiou

  • Emotion recognition based on phoneme classes

    Chul Min Lee;Serdar Yildirim;Murtaza Bulut;Abe Kazemzadeh

  • A review of speaker diarization: Recent advances with deep learning

    Tae Jin Park;Naoyuki Kanda;Dimitrios Dimitriadis;Kyu J. Han

Frequent Co-Authors

Panayiotis G. Georgiou
Panayiotis G. Georgiou University of Southern California
Sungbok Lee
Sungbok Lee University of Southern California
Louis Goldstein
Louis Goldstein University of Southern California
David C. Atkins
David C. Atkins University of Washington
Dani Byrd
Dani Byrd University of Southern California
Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Carlos Busso
Carlos Busso The University of Texas at Dallas
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Zac E. Imel
Zac E. Imel University of Utah

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Computer Science, exploring online education options can offer flexibility, affordability, and a faster route to your career goals. Whether you're seeking a bachelor's foundation or looking to upskill with a graduate degree, there are a variety of pathways to consider.

If you're eager to advance your qualifications quickly, fastest masters degree online programs let you earn your degree in as little as one year. These accelerated options are ideal for motivated learners aiming for rapid career progression.

Choosing the right degree is crucial. Recent industry data highlight which master's degree is most in demand in USA, with Computer Science consistently ranking high due to its alignment with tech sector needs.

For those looking to start sooner, 2 year online degrees in technology provide a cost-effective entry point, helping students build essential skills and prepare for further study or immediate employment.

Finding quality education that fits your budget is also possible, thanks to affordable online courses designed to minimize student debt while delivering valuable skills.

Best Scientists Citing Shrikanth S. Narayanan

Trending Scientists

Recently Published Articles