World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6329
World Ranking
13885
National Ranking
5518

Joseph Picone 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 Joseph Picone 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Joseph Picone 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 Joseph Picone 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: 30 D-Index — 3rd percentile

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

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

Overview

Joseph Picone is affiliated with Temple University in the United States. Their research primarily spans the fields of Medicine and Neuroscience, focusing on several specialized subfields including Cognitive Neuroscience, Epidemiology, Hepatology, Cardiology and Cardiovascular Medicine, and Artificial Intelligence.

The main topics addressed in their work include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • ECG Monitoring and Analysis
  • Machine Learning in Healthcare
  • Traumatic Brain Injury Research
  • Automotive and Human Injury Biomechanics

Picone's recent publications demonstrate a focus on neurological and biomedical engineering topics with research disseminated across a variety of scientific journals. These publications include:

  • EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer's disease, 2023, Measurement
  • Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data, 2021, EBioMedicine
  • A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System, 2020, IEEE Transactions on Biomedical Engineering
  • A Case of Hepatitis C Related Mixed Cryoglobulinemia Syndrome, 2022, Journal of Community Hospital Internal Medicine Perspectives
  • REPROGRAMMING ZFP189 TRANSCRIPTION FACTOR FUNCTION REGULATES DRUG SPECIFIC BEHAVIORAL RESPONSES AND TRANSCRIPTION, 2023, IBRO Neuroscience Reports

Frequent co-authors collaborating with Picone include:

  • Andrea Cataldo
  • Sabatina Criscuolo
  • Egidio De Benedetto
  • Antonio Masciullo
  • Marisa Pesola

The venues where Picone has published also reflect the interdisciplinary nature of their research, covering both clinical and engineering domains. These include:

  • Measurement
  • EBioMedicine
  • IEEE Transactions on Biomedical Engineering
  • Journal of Community Hospital Internal Medicine Perspectives
  • IBRO Neuroscience Reports

Joseph Picone's work often integrates advanced computational methods such as machine learning with clinical neuroscience applications. This includes exploration of EEG-based diagnostics and the development of wireless sensor systems to monitor brain deformation, reflecting an intersection between medical technology and neuroscience.

Best Publications

  • Signal modeling techniques in speech recognition

    J.W. Picone

  • Continuous speech recognition using hidden Markov models

    J. Picone

  • The Temple University Hospital EEG Data Corpus.

    Iyad Obeid;Joseph Picone

  • Applications of support vector machines to speech recognition

    A. Ganapathiraju;J.E. Hamaker;J. Picone

  • Voice log-in using spoken name input

    Joseph Picone;Barbara J. Wheatley

  • Biomedical Signal Processing

    Unknown

  • Syllable-based large vocabulary continuous speech recognition

    A. Ganapathiraju;J. Hamaker;J. Picone;M. Ordowski

  • Support vector machines for speech recognition

    Aravind Ganapathiraju;Joseph Picone

  • Hybrid SVM/HMM architectures for speech recognition.

    Aravind Ganapathiraju;Jonathan Hamaker;Joseph Picone

  • The Temple University Hospital Seizure Detection Corpus.

    Vinit Shah;Eva von Weltin;Silvia Lopez;James Riley McHugh

  • Towards language independent acoustic modeling

    W. Byrne;P. Beyerlein;J.M. Huerta;S. Khudanpur

  • Voice recognition of proper names using text-derived recognition models

    Barbara J. Wheatley;Joseph W. Picone

  • The TUH EEG CORPUS: A big data resource for automated EEG interpretation

    A. Harati;S. Lopez;I. Obeid;J. Picone

  • Performance analysis of the Aurora large vocabulary baseline system

    N. Parihar;J. Picone;D. Pearce;H. G. Hirsch

  • Hierarchical search for large-vocabulary conversational speech recognition: working toward a solution to the decoding problem

    N. Deshmukh;A. Ganapathiraju;J. Picone

  • Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures

    Meysam Golmohammadi;Amir Hossein Harati Nejad Torbati;Silvia Lopez de Diego;Iyad Obeid

  • Resegmentation of SWITCHBOARD.

    Neeraj Deshmukh;Aravind Ganapathiraju;Andi Gleeson;Jonathan Hamaker

  • Recognition of speech under stress and in noise

    P. Rajasekaran;G. Doddington;J. Picone

  • A cluster-based power-efficient MAC scheme for event-driven sensing applications

    Georgios Y. Lazarou;Jing Li;Joseph Picone

  • Vehicle position and performance tracking system using wireless communication

    Ron Lewis;Joe Picone;Zach Rowland;Will Jenkins

  • A phonetic vocoder

    J. Picone;G.R. Doddington

  • Support vector machines for speech recognition.

    Aravind Ganapathiraju;Jonathan Hamaker;Joseph Picone

  • Speaker Verification using Support Vector Machines

    S. Raghavan;G. Lazarou;J. Picone

  • Automated identification of abnormal adult EEGs

    S. Lopez;G. Suarez;D. Jungreis;I. Obeid

Frequent Co-Authors

George R. Doddington
George R. Doddington Texas Instruments (United States)
William Byrne
William Byrne University of Cambridge
Sanda M. Harabagiu
Sanda M. Harabagiu The University of Texas at Dallas
Dan Moldovan
Dan Moldovan The University of Texas at Dallas
Mohammad S. Alam
Mohammad S. Alam Texas A&M University – Kingsville
Ronald A. Cole
Ronald A. Cole Boulder Language Technologies (United States)
Li Deng
Li Deng Citadel
Katrin Kirchhoff
Katrin Kirchhoff Amazon (United States)
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
David Pearce
David Pearce University College London

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