World's Best Scientists 2026 revealed!
Kuldip K. Paliwal

Kuldip K. Paliwal

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
28025
World Ranking
2034
National Ranking
62

Kuldip K. Paliwal 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 Kuldip K. Paliwal 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: 385 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Kuldip K. Paliwal 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 Kuldip K. Paliwal 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: 68 D-Index — 86th percentile

86% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Kuldip K. Paliwal is affiliated with Griffith University in Australia and has contributed extensively to fields encompassing Biochemistry, Genetics and Molecular Biology, Computer Science, and Engineering. Their research addresses multiple intersecting domains, including Molecular Biology, Signal Processing, Cognitive Neuroscience, Computational Mechanics, and Artificial Intelligence.

The scientist's work spans several main research topics such as Speech and Audio Processing, Hearing Loss and Rehabilitation, RNA and protein synthesis mechanisms, Advanced Adaptive Filtering Techniques, Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, and RNA modifications and cancer.

Recent publications by Kuldip K. Paliwal include diverse contributions to both bioinformatics and speech processing:

  • DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning (2021, Bioinformatics)
  • Masked multi-head self-attention for causal speech enhancement (2020, Speech Communication)
  • SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model (2022, Bioinformatics)
  • CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins (2023, Nucleic Acids Research)

The researcher frequently publishes in notable venues including Bioinformatics, IEEE Access, The Journal of the Acoustical Society of America, bioRxiv (Cold Spring Harbor Laboratory), and arXiv (Cornell University).

Collaboration is an integral part of their scholarly activity, with regular co-authors such as Yaoqi Zhou, Aaron Nicolson, Jaswinder Singh, Thomas Litfin, and Jaspreet Singh.

Best Publications

  • Bidirectional recurrent neural networks

    M. Schuster;K.K. Paliwal

  • Efficient vector quantization of LPC parameters at 24 bits/frame

    K.K. Paliwal;B.S. Atal

  • Speech Coding and Synthesis

    W. B. Kleijn;K. K. Paliwal

  • A speech enhancement method based on Kalman filtering

    K. Paliwal;A. Basu

  • Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.

    Rhys Heffernan;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • The importance of phase in speech enhancement

    Kuldip Paliwal;Kamil Wójcicki;Benjamin Shannon

  • RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.

    Jaswinder Singh;Jack Hanson;Kuldip Paliwal;Yaoqi Zhou

  • Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

    Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  • Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition

    Xuechuan Wang;Kuldip Kumar Paliwal

  • Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

    Jack Hanson;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • Linear discriminant analysis for the small sample size problem: an overview

    Alok Sharma;Alok Sharma;Kuldip Kumar Paliwal

  • Automatic Speech and Speaker Recognition: Advanced Topics

    Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal

  • Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

    Yuedong Yang;Jianzhao Gao;Jihua Wang;Rhys Heffernan

  • Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC

    Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma;James Lyons

  • Fast principal component analysis using fixed-point algorithm

    Alok Sharma;Kuldip K. Paliwal

  • Single-channel speech enhancement using spectral subtraction in the short-time modulation domain

    Kuldip Paliwal;Kamil Wójcicki;Belinda Schwerin

  • Spectral subband centroid features for speech recognition

    K.K. Paliwal

  • Identity verification using speech and face information

    Conrad Sanderson;Conrad Sanderson;Kuldip Kumar Paliwal

  • Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

    Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang

  • Fast features for face authentication under illumination direction changes

    Conrad Sanderson;Kuldip K. Paliwal

  • Information Fusion and Person Verification Using Speech & Face Information

    Conrad Sanderson;Kuldip K. Paliwal

Frequent Co-Authors

Alok Sharma
Alok Sharma Griffith University
Abdollah Dehzangi
Abdollah Dehzangi Rutgers, The State University of New Jersey
Abdul Sattar
Abdul Sattar Griffith University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Yuedong Yang
Yuedong Yang Sun Yat-sen University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Michiel Bacchiani
Michiel Bacchiani Google (United States)
Tatsuhiko Tsunoda
Tatsuhiko Tsunoda University of Tokyo

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