World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7273
World Ranking
9258
National Ranking
3941

Abeer Alwan 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 Abeer Alwan 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: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Abeer Alwan 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 Abeer Alwan 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Abeer Alwan is affiliated with the University of California, Los Angeles, located in the United States. Their research spans computer science and psychology, with a particular focus on artificial intelligence and signal processing. Additional subfields of interest include experimental and cognitive psychology, physiology, and social psychology. The main topics addressed in their work encompass speech recognition and synthesis, speech and audio processing, speech and dialogue systems, phonetics and phonology research, voice and speech disorders, natural language processing techniques, and emotion and mood recognition.

Alwan has contributed to numerous publications in recognized venues. These include a significant number of works in arXiv (Cornell University), as well as multiple publications in Interspeech 2022 and The Journal of the Acoustical Society of America. Other frequent publication venues are SSRN Electronic Journal and the ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing.

Their recent papers showcase a range of topics related to speech-based technologies and auditory processing. Notable examples are:

  • "Spoken language interaction with robots: Recommendations for future research," 2021, Computer Speech & Language
  • "Fraug: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Towards Better Domain Adaptation for Self-Supervised Models: A Case Study of Child ASR," 2022, IEEE Journal of Selected Topics in Signal Processing
  • "Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement," 2023, Computer Speech & Language
  • "DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR," 2022, Interspeech 2022

Collaborations have occurred with a range of colleagues, of whom the most frequent co-authors include Vijay Ravi, Ruchao Fan, Jinhan Wang, Jonathan Flint, and Amber Afshan. These collaborations reflect a sustained engagement within the research community working on machine learning, speech analysis, and related psychological aspects.

Best Publications

  • Age, sex, and vowel dependencies of acoustic measures related to the voice source.

    Markus Iseli;Yen-Liang Shue;Abeer Alwan

  • An articulatory study of fricative consonants using magnetic resonance imaging

    Shrikanth S. Narayanan;Abeer A. Alwan;Katherine Haker

  • adaptive mobile multimedia networks

    A. Alwan;R. Bagrodia;N. Bambos;M. Gerla

  • Toward articulatory-acoustic models for liquid approximants based on MRI and EPG data. Part I. The laterals

    Shrikanth S. Narayanan;Abeer A. Alwan;Katherine Haker

  • Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids

    M.G. Siqueira;A. Alwan

  • Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics

    Thomas Drugman;Abeer Alwan

  • Acoustic modeling of American English /r/.

    Carol Y. Espy-Wilson;Suzanne E. Boyce;Michel Jackson;Shrikanth Narayanan

  • On the Relationship between Face Movements, Tongue Movements, and Speech Acoustics

    Jintao Jiang;Abeer Alwan;Patricia A. Keating;Edward T. Auer

  • Optical phonetics and visual perception of lexical and phrasal stress in English.

    Rebecca Scarborough;Patricia Keating;Sven L. Mattys;Taehong Cho

  • On the use of variable frame rate analysis in speech recognition

    Qifeng Zhu;A. Alwan

  • A contribution to simulating a three-dimensional larynx model using the finite element method.

    Marcelo de Oliveira Rosa;José Carlos Pereira;Marcos Grellet;Abeer Alwan

  • A model of dynamic auditory perception and its application to robust word recognition

    B. Strope;A. Alwan

  • Glottal source processing: From analysis to applications

    Thomas Drugman;Paavo Alku;Abeer Alwan;Bayya Yegnanarayana

  • A Database of Vocal Tract Resonance Trajectories for Research in Speech Processing

    Li Deng;Xiaodong Cui;R. Pruvenok;Yanyi Chen

  • A nonlinear dynamical systems analysis of fricative consonants

    Shrikanth S. Narayanan;Abeer A. Alwan

  • Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend

    Wei Chu;Abeer Alwan

  • An improved correction formula for the estimation of harmonic magnitudes and its application to open quotient estimation

    M. Iseli;A. Alwan

  • Noise source models for fricative consonants

    S. Narayanan;A. Alwan

  • Variability in the relationships among voice quality, harmonic amplitudes, open quotient, and glottal area waveform shape in sustained phonation.

    Jody Kreiman;Yen Liang Shue;Gang Chen;Markus Iseli

  • Spoken language interaction with robots: Recommendations for future research

    Matthew Marge;Carol Y. Espy-Wilson;Nigel G. Ward;Abeer Alwan

  • Band-limited feedback cancellation with a modified filtered-X LMS algorithm for hearing aids

    Hsiang-Feng Chi;Shawn X. Gao;Sigfrid D. Soli;Abeer Alwan

  • Noise robust speech recognition using feature compensation based on polynomial regression of utterance SNR

    Xiaodong Cui;A. Alwan

  • Speech Coding: Fundamentals and Applications

    Mark Hasegawa‐Johnson;Abeer Alwan

  • On the perception of voicing in syllable-initial plosives in noise.

    Jintao Jiang;Marcia Chen;Abeer Alwan

  • Text to Speech Synthesis: New Paradigms and Advances

    Shrikanth Narayanan;Abeer Alwan

  • Acoustic modelling of American English /r/.

    Carol Y. Espy-Wilson;Shrikanth S. Narayanan;Suzanne Boyce;Abeer Alwan

Frequent Co-Authors

Jody Kreiman
Jody Kreiman University of California, Los Angeles
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Mitchell S. Sommers
Mitchell S. Sommers Washington University in St. Louis
Carol Y. Espy-Wilson
Carol Y. Espy-Wilson University of Maryland, College Park
Sungbok Lee
Sungbok Lee University of Southern California
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
Horacio Franco
Horacio Franco SRI International
Richard D. Wesel
Richard D. Wesel University of California, Los Angeles
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles
Leonard Kleinrock
Leonard Kleinrock University of California, Los Angeles

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

The skills you gain while studying Computer Science in the USA can open doors to a variety of related online degree programs and career options. Many professionals choose to enhance their expertise in fields that overlap with computer science, such as engineering, data analysis, and physics.

For those interested in engineering, there are flexible and accessible programs like the cheapest online mechanical engineering degree options. Exploring these programs can help you gain critical problem-solving skills valued in both tech and engineering environments.

If you are interested in the intersection of technology and scientific research, earning an online bachelor's degree in physics is an excellent way to build a foundation in analytical thinking and complex modeling.

Data science is a rapidly growing field, and a thorough data science learning path can provide you with tools to analyze big data and create actionable solutions for businesses.

Interested in the electronics sector? Consider reviewing the latest online electrical engineering degree ranking to discover highly rated online programs that complement a computer science background.

Best Scientists Citing Abeer Alwan

Trending Scientists

Recently Published Articles