World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
26398
World Ranking
1200
National Ranking
638

Alejandro Acero 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 Alejandro Acero 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: 436 publications — 90th percentile

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

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

Alejandro Acero 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 Alejandro Acero 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to noise robust speech recognition and speech technology education.

Overview

Alejandro Acero is affiliated with Apple (United States) and contributes to research and development within the technology sector in the United States. Their work is notably recognized through contributions to speech technology and related areas.

In 2004, Alejandro Acero was named an IEEE Fellow. This distinction was awarded for contributions to noise robust speech recognition and speech technology education.

No specific recent papers, co-authors, or frequent publication venues are listed for Alejandro Acero. Similarly, there are no book publications or detailed records of main fields, subfields, or topics of study available from the provided data.

Best Publications

  • Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

    G. E. Dahl;Dong Yu;Li Deng;A. Acero

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • Spoken Language Processing

    Alex Acero;Xuedong Huang;Hsiao-Wuen Hon

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • Automatically extracting highlights for TV Baseball programs

    Yong Rui;Anoop Gupta;Alex Acero

  • Environmental robustness in automatic speech recognition

    A. Acero;R.M. Stern

  • Hidden conditional random fields for phone classification.

    Asela Gunawardana;Milind Mahajan;Alex Acero;John C. Platt

  • Learning query intent from regularized click graphs

    Xiao Li;Ye-Yi Wang;Alex Acero

  • Method and system of runtime acoustic unit selection for speech synthesis

    Alejandro Acero;James L. Adcock;Xuedong D. Huang;Michael D. Plumpe

  • Combined speech and alternate input modality to a mobile device

    Milind V. Mahajan;Alejandro Acero;Bo-June Hsu

  • Text-to-speech using clustered context-dependent phoneme-based units

    Alejandro Acero;Hsiao-Wuen Hon;Xuedong D. Huang

  • Multiple approaches to robust speech recognition.

    Richard M. Stern;Fu-Hua Liu;Yoshiaki Ohshima;Thomas M. Sullivan

  • Method and apparatus for multi-sensory speech enhancement

    Alejandro Acero;James G. Droppo;Li Deng;Michael J. Sinclair

  • Large vocabulary continuous speech recognition with context-dependent DBN-HMMS

    George E. Dahl;Dong Yu;Li Deng;Alex Acero

  • Efficient cepstral normalization for robust speech recognition

    Fu-Hua Liu;Richard M. Stern;Xuedong Huang;Alejandro Acero

  • Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion

    Li Deng;J. Droppo;A. Acero

  • Robust speech recognition by normalization of the acoustic space

    A. Acero;R.M. Stern

  • Method and apparatus for removing noise from feature vectors

    Brendan J. Frey;Alejandro Acero;Li Deng

  • Intra-language statistical machine translation

    Xiao Li;Yun-Cheng Ju;Geoffrey Zweig;Alex Acero

  • Uncertainty decoding with SPLICE for noise robust speech recognition

    Jasha Droppo;Alex Acero;Li Deng

  • Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo.

    Ciprian Chelba;Alex Acero

Frequent Co-Authors

Li Deng
Li Deng Citadel
Dong Yu
Dong Yu Tencent (China)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Ciprian Chelba
Ciprian Chelba Google (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Zicheng Liu
Zicheng Liu Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Yifan Gong
Yifan Gong Microsoft (United States)

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

As the demand for tech professionals grows, students now have more flexible ways to shape their education and careers in computer science and related fields. A key trend is the increasing availability of data science degrees online. These programs equip you with specialized analytical skills highly sought after in industries such as finance, healthcare, and technology.

Another route is through accelerated construction management degree programs. These offer a tech-driven management perspective for those interested in applying computational thinking to the construction industry, with a fast-track curriculum that helps you join the workforce sooner.

For those considering business leadership or tech entrepreneurship, online MBA programs affordable can provide essential business acumen without the heavy financial burden. Additionally, if speed is important, explore the 1 year master's programs online that offer a quick path to a specialized master's credential.

Exploring these online alternatives provides a range of career pathways and the flexibility needed to balance personal, professional, and educational goals.

Best Scientists Citing Alejandro Acero

Trending Scientists

Recently Published Articles