World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6813
World Ranking
8450
National Ranking
3613

Alan V. McCree 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 Alan V. McCree 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Alan V. McCree 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 Alan V. McCree 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: 42 D-Index — 43rd percentile

43% 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

  • 2005 - IEEE Fellow For contributions to low bit-rate coding of speech signals.

Overview

Alan V. McCree is affiliated with Johns Hopkins University in the United States. Their research primarily spans the fields of computer science, with particular focus on signal processing and artificial intelligence. Within these areas, they have contributed work related to speech recognition and synthesis, speech and audio processing, as well as music and audio processing.

Their recent publications include the following papers:

  • Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification, 2020, arXiv (Cornell University)
  • Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings, 2021, arXiv (Cornell University)

Frequent co-authors working alongside Alan V. McCree include:

  • Amber Afshan
  • Jinxi Guo
  • Soo-Jin Park
  • Vijay Ravi
  • Abeer Alwan

Publications are predominantly found in the venue arXiv (Cornell University), where they have had multiple contributions.

The main topics of Alan V. McCree's research focus on:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing

Among the distinctions received, Alan V. McCree was named an IEEE Fellow in 2005 for contributions to low bit-rate coding of speech signals.

Best Publications

  • A mixed excitation LPC vocoder model for low bit rate speech coding

    A.V. McCree;T.P. Barnwell

  • Speaker Recognition for Multi-speaker Conversations Using X-vectors

    David Snyder;Daniel Garcia-Romero;Gregory Sell;Alan McCree

  • Processes, articles, and packets for network path diversity in media over packet applications

    Stephen J. Perkins;Alan Gatherer;Krishanasamy Anandakumar;Alan V. McCree

  • MELP: the new Federal Standard at 2400 bps

    L.M. Supplee;R.P. Cohn;J.S. Collura;A.V. McCree

  • Speaker diarization using deep neural network embeddings

    Daniel Garcia-Romero;David Snyder;Gregory Sell;Daniel Povey

  • Spoken Language Recognition using X-vectors.

    David Snyder;Daniel Garcia-Romero;Alan McCree;Gregory Sell

  • Diarization is hard: Some experiences and lessons learned for the JHU team in the inaugural dihard challenge

    Gregory Sell;David Snyder;Alan McCree;Daniel Garcia-Romero

  • Systems, processes and integrated circuits for rate and/or diversity adaptation for packet communications

    Krishnasamy Anandakumar;Vishu R. Viswanathan;Alan V. McCree

  • A 2.4 kbit/s MELP coder candidate for the new U.S. Federal Standard

    A. McCree;Kwan Truong;E.B. George;T.P. Barnwell

  • Wireless base station systems for packet communications

    Krishnasamy Anandakumar;Vishu R. Viswanathan;Alan V. McCree

  • Supervised domain adaptation for I-vector based speaker recognition

    Daniel Garcia-Romero;Alan McCree

  • Hybrid speech coding and system

    Jacek Stachurski;Alan V. McCree

  • Proxy pair identification communication though separate proxy devices and paths

    Stephen J. Perkins;Alan Gatherer;Krishnasamy Anandakumar;Alan V. McCree

  • UNSUPERVISED DOMAIN ADAPTATION FOR I-VECTOR SPEAKER RECOGNITION

    Niko Brummer;Alan McCree;Stephen Shum;Daniel Garcia-Romero

  • Acoustic echo devices and methods

    Alan V. McCree;Takahiro Unno;Thierry LeGall;Sebastien Guiriec

  • State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations

    Jesús Villalba;Nanxin Chen;David Snyder;Daniel Garcia-Romero

  • The MITLL NIST LRE 2009 language recognition system

    Pedro A. Torres-Carrasquillo;Elliot Singer;Terry Gleason;Alan McCree

  • The NIST 2014 Speaker Recognition i-vector Machine Learning Challenge.

    Alan McCree;Douglas A. Reynolds;Daniel Garcia-Romero;Tomi Kinnunen

  • Adaptive weiner filtering using a dynamic suppression factor

    Levent M. Arslan;Alan V. McCree;Vishu R. Viswanathan

  • State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18.

    Jesús Villalba;Nanxin Chen;David Snyder;Daniel Garcia-Romero

  • New methods for adaptive noise suppression

    L. Arslan;A. McCree;V. Viswanathan

Frequent Co-Authors

Daniel Garcia-Romero
Daniel Garcia-Romero Johns Hopkins University
Daniel Povey
Daniel Povey Xiaomi (China)
Najim Dehak
Najim Dehak Johns Hopkins University
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
George R. Doddington
George R. Doddington Texas Instruments (United States)
William M. Campbell
William M. Campbell Amazon (United States)
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University

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