World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
30
Citations
4604
World Ranking
6750
National Ranking
2195

Carol Y. Espy-Wilson 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 Carol Y. Espy-Wilson sits on this spectrum.

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 publications 1,065+

This scientist: 179 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Carol Y. Espy-Wilson 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 Carol Y. Espy-Wilson sits on this spectrum.

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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Best Publications

  • Analysis of i-vector Length Normalization in Speaker Recognition Systems.

    Daniel Garcia-Romero;Carol Y. Espy-Wilson

  • Articulatory tradeoffs reduce acoustic variability during American English /r/ production.

    Frank H. Guenther;Carol Y. Espy-Wilson;Suzanne E. Boyce;Melanie L. Matthies

  • Acoustic modeling of American English /r/.

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

  • A magnetic resonance imaging-based articulatory and acoustic study of "retroflex" and "bunched" American English /r/.

    Xinhui Zhou;Carol Y. Espy-Wilson;Suzanne Boyce;Mark Tiede

  • Linear versus mel frequency cepstral coefficients for speaker recognition

    Xinhui Zhou;Daniel Garcia-Romero;Ramani Duraiswami;Carol Espy-Wilson

  • Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition

    Daniel Garcia-Romero;Xinhui Zhou;Carol Y. Espy-Wilson

  • Use of temporal information: detection of periodicity, aperiodicity, and pitch in speech

    O. Deshmukh;C.Y. Espy-Wilson;A. Salomon;J. Singh

  • Automatic acquisition device identification from speech recordings

    Daniel Garcia-Romero;Carol Y. Espy-Wilson

  • Acoustic parameters for automatic detection of nasal manner

    Tarun Pruthi;Carol Y. Espy-Wilson

  • Spoken language interaction with robots: Recommendations for future research

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

  • Articulatory Information for Noise Robust Speech Recognition

    V. Mitra;Hosung Nam;C. Y. Espy-Wilson;E. Saltzman

  • Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition

    Vikramjit Mitra;Ganesh Sivaraman;Hosung Nam;Carol Espy-Wilson

  • Detection of speech landmarks: Use of temporal information

    Ariel Salomon;Carol Y. Espy-Wilson;Om Deshmukh

  • Enhancement of Electrolaryngeal Speech by Adaptive Filtering.

    Carol Y. Espy-Wilson;Venkatesh R. Chari;Joel M. MacAuslan;Caroline B. Huang

  • Retrieving Tract Variables From Acoustics: A Comparison of Different Machine Learning Strategies

    Vikramjit Mitra;Hosung Nam;Carol Y Espy-Wilson;Elliot Saltzman

  • Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines

    A. Juneja;C. Espy-Wilson

  • Knowledge-based parameters for HMM speech recognition

    N.N. Bitar;C.Y. Espy-Wilson

  • Acoustic Parameters for the Automatic Detection of Vowel Nasalization

    Tarun Pruthi;Carol Y. Espy-Wilson

  • A probabilistic framework for landmark detection based on phonetic features for automatic speech recognition.

    Amit Juneja;Carol Espy-Wilson

  • Segmentation of continuous speech using acoustic-phonetic parameters and statistical learning

    A. Juneja;C. Espy-Wilson

Frequent Co-Authors

Elliot Saltzman
Elliot Saltzman Boston University
Louis Goldstein
Louis Goldstein University of Southern California
Daniel Garcia-Romero
Daniel Garcia-Romero Johns Hopkins University
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Maureen Stone
Maureen Stone Tableau Software (United States)
Shihab A. Shamma
Shihab A. Shamma University of Maryland, College Park
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
Frank H. Guenther
Frank H. Guenther Boston University

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Related Online Degrees & Career Pathways

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